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.Mean S Multi Asset Strategies
 KBank                                                                                        Strategies
                                                                                              Macro / Multi Asset
 Are we falling into the lull of optimism?                                                    October 2011
                                                                                              Volume 42

      Consensus appears to be hoping for the best and not preparing
      for the worst. It seems that the bitter lessons of 2008/9 have all                      Kobsidthi Silpachai, CFA –Kasikornbank
                                                                                              kobsidthi.s@kasikornbank.com
      been but forgotten
                                                                                              Susheel Narula – KSecurities
      Calling the USD/THB direction has now become analogous to a                             susheel.n@kasikornsecurities.com
      coin toss…and here we provide two sides of the arguments
                                                                                              Kavee Chukitkasem – KSecurities
      USD/THB options are probably the best bet for the next 1 to 2                           kavee.c@kasikornsecurities.com
      months amidst lack of economic clarity compounded by external                           KResearch
      political and social abnormality                                                        kr.bd@kasikornresearch.com

      We revised down our target for the policy rate to 3.50% for the
      end of this year, noting the BoT’s proposed change of inflation
      target as well as the worsening global conditions due to                                  Disclaimer: This report
                                                                                                must be read with the
      Europe’s debt crisis
                                                                                                Disclaimer on page 44
      On equities we advise reducing portfolio at current levels. Aim to                        that forms part of it
      accumulate shares as we get below 850 but stick to sectors with
      business oriented towards domestic consumption


 Strategic Thesis                                                                               “KBank Multi Asset
 The experience of Japan during the 1990s when the economy remained stagnant is one             Strategies”
 of the major examples the US and the Eurozone might try to avoid. Still, consensus             can now be accessed on
 wishes for a recovery but the markets might be saying something else. Of late, calling         Bloomberg: KBCM <GO>
 the direction of the USD/THB is likened to a coin toss. Analyzing the economics is
 already an arduous task in it of itself. Now the political and social dynamics complicate
 the direction even further: will Greece be the Achilles’’ heel of the euro? Will Troika
 withhold the next tranche of financial infusion? In light of lack of direction signals,
 USD/THB options seem to be the best bet amidst a dearth of clarity. We provide
 thoughts why USD/THB could cut both ways: up or down. We revised down our target
 for the policy rate to 3.50% for the end of this year, noting the BoT’s proposed change of
 inflation target as well as the worsening global conditions due to Europe’s debt crisis.
 The yield curve should continue to stay flat but the uncertainties in global financial
 markets could lead to lower appetite for duration in emerging market bonds: stay short
                                             th
 duration prior to MPC meeting on Oct 19 . As with other asset classes, volatility in the
 equity markets will continue. We have set ourselves a one-month window ending in
 early November before considering the need to change fundamental macro
 assumptions which will change market outlook. There is a downside risk to our view
 presently, but we see SET index at 812 to provide strong support. This is based on PBV
 at 1.5x (fundamentally) and peak-to-trough correction of 30% (technically) – both
 historically well-tested. Our worst-case has SET index at 730, arrived through stress-
 testing assumptions on 2012 GDP growth at 1.9% from 5% with increased required risk
 premium. This worst-case scenario is comparatively better than the worst-case saw in
 the US sub prime crisis of 2008-9 when the SET went below 400.




11

1                                                                              WWW.KASIKORNBANKGROUP.COM
Key Parameters & Forecasts at Year-end
                                                      2004                 2005                2006           2007             2008              2009                2010                2011E                   2012E
 GDP, % YoY                                                    6.3              4.6                 5.2               4.9               2.5                -2.3               7.8                  3.8                        4.5
 Consumption, % YoY                                            6.2              4.6                 3.0               1.6               2.7                -1.1               4.8                  3.6                        3.8
 Investment Spending, % YoY                                13.2               10.5                  3.9               1.3               1.2                -9.2               9.4                  6.3                        5.8
 Govt Budget / GDP %                                           -0.2             0.3               -0.7              -1.5               -1.0                -5.6               -3.2                -4.0                        -4.5
 Export, % YoY                                             21.6               15.2               17.0               17.3               15.9               -14.0           28.5                    20.0                    10.0
 Import, % YoY                                             25.7               25.8                  7.9               9.1              26.5               -25.2           36.8                    24.0                    12.0
 Current Account (USD bn)                                  2.77                -7.6                 2.3             14.1                1.6               21.9            14.8                    12.9                        8.1
 CPI % YoY, average                                            2.8              4.5                 4.6               2.3               5.5                -0.9               3.3                  3.8                        3.7
 USD/THB                                                   38.9               41.0               36.1               33.7               34.8               33.3            31.4                    29.0                    28.0
 Fed Funds, % year-end                                     2.25               4.25               5.25               4.25               0.25               0.25            0.25                    0.25                    0.25
 BOT repo, % year-end                                      2.00               4.00               5.00               3.25               2.75               1.25            2.00                    3.50                    3.50
 Bond Yields
   2yr, % year-end                                         2.78               4.94               5.02               3.91               1.98               2.17            2.35                    3.60                    3.60
     5yr, % year-end                                           4.0              5.3                 5.1               4.5               2.2                3.6            2.75                    3.65                    3.65
     10yr, % year-end                                          4.9              5.5                 5.4               4.9               2.7                4.3            3.25                    3.80                    3.80
 USD/JPY                                                102.5               118.0               119.1              111.8               90.7               93.0            82.0                    77                           81
 EUR/USD                                                   1.36               1.18               1.32               1.46               1.40               1.43            1.40                    1.35                    1.40
 SET Index                                              668.1               713.7               679.8              858.1              450.0           734.5              1040                     812                   1320


 Source: Bloomberg, CEIC, KBank, KResearch, KSecurities


KBank Thai Government Bond Rich / Cheap model

     Bps (actual YTM vs. model)
        20.00

        15.00

        10.00

         5.00

         0.00

        -5.00

       -10.00

       -15.00                                                                                                                                                                                               3 mth avg
                                                                                                                                                                                                            Now
       -20.00
                                                                                                                                                                                                            LB296A
                  LB123A

                           LB133A

                                    LB137A

                                             LB145B

                                                      LB14DA

                                                                  LB155A

                                                                           LB15DA

                                                                                      LB167A

                                                                                                LB16NA

                                                                                                          LB175A

                                                                                                                    LB183B

                                                                                                                             LB191A

                                                                                                                                        LB196A

                                                                                                                                                 LB198A

                                                                                                                                                            LB19DA

                                                                                                                                                                     LB213A

                                                                                                                                                                                LB24DA

                                                                                                                                                                                         LB267A

                                                                                                                                                                                                   LB283A



                                                                                                                                                                                                                     LB396A




Source: Bloomberg, KBank




22

2
KBank THB NEER Index                                                                                                          KBank USD/THB – FX Reserves / USD Majors model

    Jan 1995 = 100                   KBank THB Trade Weighted Index                                                                                                       KBank USD/THB model
                                                                                                                                 48
    105                                                                                                                          46
                                                                                                                                 44
    100                                                           + 1 std                                                        42
                                                                    d                                                            40
     95                                                                                                                          38
                                                                                                                                 36
     90
                                               average                                                                           34
                                                                                                                                 32
     85
                                                                                                                                 30
     80                                                               -1 std dev                                                 28
                                                                                                                                         01        02    03     04        05       06        07         08      09        10       11     12
     75
          00    01        02        03      04         05        06         07        08        09        10        11                                                                  actual               model

Source: Bloomberg, KBank                                                                                                      Source: Bloomberg, KBank




FX reserves – USD/THB model                                                                                                   DXY – USD/THB model
 USD/THB                                                                                                                       USD/THB                                                  since 2001
  48                                                                                                                            50
  46
                                         y = -7.4157Ln(x) + 69.035
  44                                               2                                                                            45
  42                                             R = 0.8878
  40                                                                                                                            40
  38
  36                                                                                                                            35                                                                                           y = 29.695Ln(x) - 95.504
                                                                                                                                                                                                                                     2
  34                                                                                                                                                                                                                               R = 0.7685
  32                                                                                                                            30
  30
  28                                                                                                                            25
  26                                                                                                                                 70        75        80         85        90        95        100        105        110       115    120     125
      25            50         75          100         125            150         175           200     225      250                                                                                                                            DXY
    FX reserves to USD/THB mapping               current     2011 forecast                       FX reserves, USD bn                                             DXY to USD/THB mapping                            current

Source: Bloomberg, KBank                                                                                                      Source: Bloomberg, KBank




KBank BOT repo model                                                                                                          SET forward dividend yield vs. 10yr bond yield
    %                                                                                                                           %
    5.5                                                                                                                         9
    5.0                                                                                                                         8
    4.5                                                                                                                         7
    4.0                                                                                                                         6
    3.5                                                                                                                         5
    3.0
                                                                                                                                4
    2.5
    2.0                                                                                                                         3
    1.5                                                                                                                         2
    1.0                                                                                                                         1
    0.5                                                                                                                         0
    0.0                                                                                                                             00        01        02     03        04        05        06         07         08        09     10     11
          01   02        03     04        05      06        07        08         09        10        11        12        13
                                                  actual                model                                                                                 10yr yields           SET forward dividend yields

Source: Bloomberg, KBank                                                                                                      Source: Bloomberg, KBank




33

3
Thai inflation parameters                                                                                                            Thai contribution to GDP growth
                                            CPI yoy                      PPI yoy                Core CPI yoy                          % yoy
     25%
                                                                                                                                        15
     20%
                                                                                                                                        10
     15%
                                                                                                                                           5
     10%
                                                                                                                                           0
      5%
                                                                                                                                        -5
      0%
                                                                                                                                       -10
     -5%
                                                                                                                                       -15
    -10%                                                                                                                                            1Q09                3Q09                  1Q10              3Q10                       1Q11
    -15%                                                                                                                                             Private consumption                    Government Consumption                 Gross fixed capital formation
               05             06                   07               08               09              10            11                               Inventory change                        Net exports                            GDP yoy

Source: CEIC, KBank                                                                                                                  Source: NESDB, KBank




Implied forward curve: swaps                                                                                                         Implied forward curve: TGBs
     %                                                       Implied forward rate shifts (IRS)                                          %                                           Bond yields implied curve shifts
    3.90                                                                                                                                4.25
    3.70
                                                                                                                                        4.00
    3.50
    3.30
                                                                                                                                        3.75
    3.10
    2.90                                                                                                                                3.50
    2.70
                                                                                                                  tenor (yrs)                                                                                                                     tenor (yrs)
    2.50                                                                                                                                3.25
           0           1           2            3              4           5          6         7            8       9          10              0        1      2      3       4        5        6    7        8      9       10        11        12    13      14
                     Oct-11                  Jan-12                      Apr-12                Oct-12                                                        Oct-11                     Jan-12                      Apr-12                         Oct-12

Source: Bloomberg, KBank                                                                                                             Source: Bloomberg, KBank




US 2yr yields and implied forward                                                                                                    US 5yr yields and implied forward

    7.0                                                                                                                                8
    6.0                                                                                                                                7

    5.0                                                                                                                                6
                                                                                                                                       5
    4.0
                                                                                                                                       4
    3.0
                                                                                                                                       3
    2.0                                                                                                                                2
    1.0                                                                                                                                1
    0.0                                                                                                                                0
          00    01     02     03       04     05        06     07    08        09   10    11    12      13   14   15 16                    00       01   02     03     04   05     06       07   08       09   10    11      12    13        14    15    16

                                             2yr yields, %                      implied forwards                                                                            5yr yields, %                  implied forwards

Source: Bloomberg, KBank                                                                                                             Source: Bloomberg, KBank




44

4
KBank EUR/THB model                                                                 KBank JPY/THB model

                                          EUR/THB                                                                                 JPY/THB
                                                                                      43.0
    56.0
    54.0                                                                              41.0
    52.0                                                                              39.0
    50.0                                                                              37.0
    48.0
    46.0                                                                              35.0
    44.0                                                                              33.0
    42.0                                                                              31.0
    40.0                                                                              29.0
    38.0
    36.0                                                                              27.0
    34.0                                                                              25.0
           01   02   03    04   05    06        07      08      09   10   11   12             01   02   03     04   05        06       07     08       09   10   11   12

                                 actual              model                                                               actual             model

Source: Bloomberg, KBank                                                            Source: Bloomberg, KBank




KBank GBP/THB model                                                                 KBank CNY/THB model

                                          GBP/THB                                                                                    CNY/THB
                                                                                      5.8
    78.0
                                                                                      5.6
    73.0
                                                                                      5.4
    68.0                                                                              5.2
    63.0                                                                              5.0
    58.0                                                                              4.8
                                                                                      4.6
    53.0
                                                                                      4.4
    48.0                                                                              4.2
    43.0                                                                              4.0
           01   02   03    04   05    06        07      08      09   10   11   12            01    02   03     04   05       06        07     08      09    10   11   12

                                           actual            model                                                                actual           model

Source: Bloomberg, KBank                                                            Source: Bloomberg, KBank




KBank THB/VND model                                                                 KBank AUD/THB model
                                            THB/VND                                                                               AUD/THB
    800
                                                                                      35.0
    750
    700                                                                               33.0
    650                                                                               31.0
    600
                                                                                      29.0
    550
    500                                                                               27.0
    450                                                                               25.0
    400
    350                                                                               23.0
    300                                                                               21.0
           01   02   03    04   05    06        07     08       09   10   11   12             01   02   03     04   05        06       07     08       09   10   11   12

                                           actual            model                                                                actual            model

Source: Bloomberg, KBank                                                            Source: Bloomberg, KBank




55

5
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66

6
Are we falling into the lull of optimism?


                                                                                                                                                              Kobsidthi Silpachai, CFA - Kasikornbank
If we look at consensus forecasts for 2011 and especially 2012, economists are not                                                                            kobsidthi.s@kasikornbank.com
paying heed to Michel de Notradamus’s prediction that the world as we know it will no
longer exist post December 21st, 2012. According to the IMF’s latest forecasts, the global                                                                    Nalin Chutchotitham – Kasikornbank
                                                                                                                                                              nalin.c@kasikornbank.com
economy is to expand close to 4% for 2012 while Thailand is see a 4.8% pick up in
economic activities.                                                                                                                                          Amonthep Chawla, Ph.D. – Kasikornbank
                                                                                                                                                              amonthep.c@kasikornbank.com
An argument against such optimism is gaining momentum as financial market conditions
looks and feels more and more of a de javu of 2008. Prior to 2008, the US yield curve
was flat and or inverted most of 2006 and 2007. In early 2008, Bear Stearns a global
investment bank which had a peak market capitalization of USD 24.88bn collapsed and
was bought by JP Morgan. On the macro front, non-farm payrolls had peaked in January
2008 (138 million) and were on a substantial decline leading to a surge on mortgage
delinquencies.

Fig 1. IMF forecast for global economic growth...                                                     Fig 2. IMF forecast for Thai economic growth

     6                                                                                                     9
                                                                                                           8
     5                                                                                                     7
     4                                                                                                     6
                                                                                                           5
     3                                                                                                     4
                                                                                                           3
     2                                                                                                     2
                                                                                                           1
     1                                                                                                     0
     0                                                                                                    -1
                                                                                                          -2
     -1                                                                                                   -3
              2006   2007   2008     2009    2010   2011     2012        2013    2014   2015   2016             2006   2007   2008   2009    2010    2011    2012        2013    2014   2015   2016

                            World economic growth, %    IMF projections, %                                                    Thai economic growth, %   IMF projections, %

Source: IMF                                                                                           Source: IMF




Beside these ominous sign posts, one barometer of a prelude towards a full blown
financial crisis is proxies of credit spreads. Here we are referring to LIBOR OIS spreads.
These LIBOR OIS spreads (short for Overnight Index Swaps) are the difference between
inter-bank funding benchmarks such as 3mth LIBOR minus a geometric estimate of
central bank funding rates. The rule of thumb is, the higher the spread, the tighter the
credit conditions in the inter-bank market

Fig 3. US Libor OIS                                                                                   Fig 4. EU Libor OIS
     400                                                                                                  200
     350                                                                                                  180
                                                                                                          160
     300
                                                                                                          140
     250                                                                                                  120
     200                                                                                                  100
     150                                                                                                   80
                                                                                                           60
     100
                                                                                                           40
      50                                                                                                   20
          0                                                                                                 0
              02     03      04        05      06       07          08          09      10     11               02     03     04       05       06      07          08          09      10     11

                                   US LIBOR OIS (Overnight Index Swap), bps                                                           Euro LIBOR OIS (Overnight Index Swap), bps

Source: Bloomberg, CEIC, KBank                                                                        Source: Bloomberg, CEIC, KBank




77

7
USD/THB, it cuts both ways
In the following, we ponder both cases for further USD/THB downside and upside and
summarized in fig 5.

Fig 5. USD/THB, it cuts both ways

                  The case for lower USD/THB                                                   The case for higher USD/THB

            The US economy is still floundering. With unemployment very                   Bureaucracy of the EU system limits the speed of how
            elevated at 9%+, economic stimulus no doubt is needed                         European authorities can effectively respond and resolve the
            Fiscal constraints means that stimulus in the form of                         crisis and allows the Eurozone to implode into a full fledge
            expansionary fiscal policy is not an option                                   sovereign domino defaults and bank runs / closures
            …hence QE3, 4, …. is still needed…..meaning the Fed will                      Risk aversion kicks in and investors further reduced
            printing more US dollars to monetize and reduce their                         investment positions in all sorts of risk asset classes
            indebtedness                                                                  including emerging markets equities and bonds
            The European authorities, despite having demonstrated                         Higher risk perception of the EUR will prompt a shift of
            shortcoming of leadership, solidarity and efficiency in dealing               reserves away from the 17 nation currency (market share of
            with the sovereign debt / banking crisis, is able to prevent or               27%) and towards the US dollar (market share of 60%)
            postpone a full blown crisis                                                  The Fed is contented with just the 2011 version of “Operation
            Thailand is seen to post current account surpluses, meaning                   Twist”. This means that the Fed will not expand its balance
            sellers of USD/THB outnumber buyers of USD/THB at the                         sheet and slows down the pace of US dollar printing i.e. M1
            current level                                                                 money supply
            China proceeds with CNY appreciation. This allows regional                    The Bank of Thailand adopts a wait and see stance on
            currencies including the Thai baht to appreciate as well                      monetary policy amidst lack clarity on the global economic
            without significant implications on competitiveness                           front. This reduces support for the baht as policy rates stay
            Thai baht remains undervalued e.g. the Economist Big Mac                      at 3.50%
            index estimates Thai baht is 42.3% undervalued relative to
            the US dollar.

Source: KBank                                                                 Source: KBank




USD/THB elevating higher… because?
In May 2010 and onwards, Greece, Ireland and Portugal sought financial bailout
packages from other Eurozone countries and the International Monetary Fund (IMF).
More than a year afterwards, much of the pledges of austerity, especially for the case of
Greece were empty promises. With cross holdings of various Eurozone government
bonds by various Eurozone commercial banks, the deterioration in fiscal health of
government inadvertently meant the demise of commercial banks. If one was to make an
analogy what CDOs (collateralized debt obligations) did to American and other banks
worldwide post 2008 to now, it would be the toxic bonds of the weaker links (such as the
PIIGS group) in the EU.

Fig 6 shows that as Greek bond prices fall, it will take the Euro Stoxx bank index with it.
The Euro Stoxx bank index comprises of 32 European banks with a cumulative total
asset of EUR 5 trillion versus the Eurozone GDP of EUR 2.9 trillion. As the market value
of these banks equity falls below their book value, it provides a estimate of how much
recapitalization is needed. On figure 7, the implied recapitalization needs of these 32
banks are about EUR 367bn, currently. This is a moving target, as market expectations
changes. Another point that can be taken from this is that, investors of banks have more
or less have withdrawn their money in the form of equity. The question now is whether
other sources of funds will withdraw their deposits i.e. bank runs.




88

8
Fig 6. Greece 10yr bond price, Euro Stoxx bank index                                        Fig 7. Implied recapitalization of Euro Stoxx banks

     110                                                                              260       600,000
     100                                                                              240
      90                                                                                        400,000
                                                                                      220
      80
                                                                                      200       200,000
      70
                                                                                      180
      60                                                                                              0
                                                                                      160
      50                                                                                                   00   01     02     03     04     05     06     07      08      09     10      11
      40                                                                              140       -200,000
      30                                                                              120
                                                                                                -400,000
      20                                                                              100
       Mar-10   Jun-10      Sep-10       Dec-10     Mar-11      Jun-11       Sep-11             -600,000

                Greece 10yr bond, % of par (left)    Euro Stoxx Bank index (right)                    Euro Stoxx bank index, market cap less book value        implied recapitalization, EUR mn

Source: Bloomberg, CEIC, KBank                                                              Source: Bloomberg, CEIC, KBank




What is the European immediate response, attempting to contain the crisis? Four little
letters: EFSF with a big task. EFSF is short for “European Financial Stability Facility”.
EFSF is similar in concept to our FIDF (Financial Institution Development Fund). During
the 1997 crisis, the FIDF attempt to assuage bank runs on deposits. But when the dust
settled, some 56 finance companies had to close and a handful of banks had to be
nationalized to avert calamity.

Recently, the EU authorities are pushing to expand the war chest of the EFSF, from
EUR440bn to around EUR780bn, which represents the guaranteed commitments by
countries within the Eurozone. The idea being, the EFSF would raise funding in the
market, which it has so far sold 3 tranches for a total of EUR13bn, and on-lend to entities
it deems needed financial assistance. However in the event that the EFSF could not
honor its own financial obligations, the countries as shown in fig 8, would have to honor
the EFSF on its behalf. Imagine a case where if the EFSF lent money to France. France
was unable to pay back the EFSF and causing the EFSF to be unable to pay back its
creditors. The creditors can then demand payments from say, Germany. The unfortunate
thing is that most of these countries pledging to back the EFSF are not in a healthy fiscal
position to back up their commitments in the first place. Even the market perceived
mighty economy of Germany already has a debt / GDP ratio of 83%, well above the
Maastricht Treaty limit of 60%. This questions the viability of the EFSF as it is really the
weak nations trying to save themselves. It would stand a higher probability of success if
Asian investors / central banks / sovereign wealth funds are lured into buying the EFSF
bonds despite the fact that it is backed by near bankrupt nations.




99

9
Fig 8. EFSF guarantors and their budget / GDP & debt / GDP ratios

 Country                                  Guarantee commitments, EUR mn   budget / GDP, %        public debt/ GDP, %
 Kingdom of Belgium                                    27,032                   -4.1                     96.8
 Federal Republic of Germany                          211,046                   -3.3                      83.2
 Ireland                                               12,378                  -32.4                     96.2
 Kingdom of Spain                                      92,544                   -9.2                      60.1
 French Republic                                      158,488                   -7.0                     81.7
 Italian Republic                                     139,268                   -4.6                     119.0
 Republic of Cyprus                                    1,526                    -5.3                     60.8
 Grand Duchy of Luxembourg                              1,947                   -1.7                      18.4
 Republic of Malta                                       704                    -3.6                     68.0
 Kingdom of the Netherlands                            44,446                   -5.4                      62.7
 Republic of Austria                                   21,639                   -4.6                     72.3
 Portuguese Republic                                   19,507                   -9.1                      93.0
 Republic of Slovenia                                   3,664                   -5.6                     38.0
 Slovak Republic                                        7,728                   -7.9                      41.0
 Republic of Finland                                   13,974                   -2.5                     48.4
 Hellenic Republic                                     21,898                  -10.5                     142.8
 Republic of Estonia                                    1,995                   0.1                       6.6
 Total Guarantee Commitments                          779,783
Source: http://www.efsf.europa.eu/about/index.htm




This hence leads to the lingering-in- the-back-of- market’s mind, will the euro survive. In
his last ECB meeting, Jean Claude Trichet said that the euro will still be around in 10
years time. But what if it isn’t and the market has to go back to the US dollar, despite all
of its imperfections? As the EUR arrived on the FX scene Asian central banks which had
the Deutschemark as one of its reserve currency had to trade it in for the Euro. At the
time of fixing, it was 1.95583 DEM to 1 EUR. Fig 10 shows that EUR’s market share rose
from 18% to 26%+ at the expense of a lower USD market share slipping from 72% to
60%.

Fig 9. Market share of fiat FX currency reserves                             Fig 10. USD, EUR market share in FX reserves
                                    GBP     Other                                                          World's breakdown of reserve currency
                               CHF 4.2%     4.9%                                 74                                                                                    30
                               0.1%                                              72                                                                                    28
                        JPY
                       3.9%                                                      70                                                                                    26
                                                                                 68                                                                                    24
                                                                                 66                                                                                    22
                        EUR
                       26.7%                                                     64                                                                                    20
                                                       USD
                                                      60.2%                      62                                                                                    18
                                                                                 60                                                                16
                                                                                   1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

                                                                                             % holding in USD (left axis)              % holding in EUR (right axis)

Source: Bloomberg, CEIC, KBank                                               Source: Bloomberg, CEIC, KBank




1010

10
Operation Twist is another factor which had reversed the bearishness of the USD
towards a bullish swing. The September 21st FOMC statement was US dollar bullish as:

              To support a stronger economic recovery and to help ensure that inflation, over
              time, is at levels consistent with the dual mandate, the Committee decided today
              to extend the average maturity of its holdings of securities. The Committee
              intends to purchase, by the end of June 2012, $400 billion of Treasury
              securities with remaining maturities of 6 years to 30 years and to sell an
              equal amount of Treasury securities with remaining maturities of 3 years or
              less. This program should put downward pressure on longer-term interest rates
              and help make broader financial conditions more accommodative. The
              Committee will regularly review the size and composition of its securities holdings
              and is prepared to adjust those holdings as appropriate.

The buying and selling of equal amounts equates to no significant expansion in the Fed’s
balance sheet. Hence the exercise is merely a sector rotation, from the short end of the
curve to the long end of the curve. This is a means of reducing the gapping as to force
commercial banks to switch from making money from taking duration risk and toward
taking credit risk. Operation Twist is to crowd out the non-private sector simulative
activities i.e. borrowing from the Fed and lending to the US Treasury instead of lending to
the private sector. Fig 11 shows that Fed Funds rate and the shape of the yield curve
move in opposite directions, that is, as Fed Funds rises, the yield curve steepens.
Whereas when the Fed Funds falls, the curve flattens. The Fed has flagged its intention
to keep short rates where they are i.e. low. Hence to flatten the yield curve to encourage
banks to take credit risk, the Fed has to buy longer dated maturity treasuries.

Fig 11. Fed Funds rate, shape of the US yield curve                                                 Fig 12. US bank’s loans and leases, stagnating
    bps                                                                                     %           8,000
    350                                                                                         7
                                                                                                        7,000
    300              correlation is -93%
                                                                                                6       6,000
    250
                                                                                                5       5,000
    200
    150                                                                                         4       4,000
    100                                                                                         3       3,000
     50                                                                                                 2,000
                                                                                                2
      0
                                                                                                1       1,000
     -50 00    01   02      03      04      05      06        07    08     09     10   11
                                                                                                          -
    -100                                                                                        0
                                                                                                                73 75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11
                         US 10yr yield less 2yr yield, left        Fed Funds, right                                                  Loans and leases, USD bn

Source: Bloomberg, CEIC, KBank                                                                      Source: Bloomberg, CEIC, KBank




1111

11
This, in it of itself, highlight that the Fed is in no urgency to print more money. Hence it
reduces the bearish cue for USD/THB.

Fig 13. y = f(x), USD M1 money supply as a function of                                         Fig 14. y = f(x), USD/THB as a function of USD M1
Fed’s balance sheet                                                                            money supply
  USD M1 money supply, USD bn
   2200                                                                                          USD/THB
                                                                                                  48
    2100                                                                                          46
    2000                                                                                          44
                                                                                                                                              y = -0.0188x + 65.37
                                        2
                             y = 0.0002x - 0.4615x + 1711.7                                       42
    1900                                                                                                                                             2
                                                                                                                                                   R = 0.9398
                                        2                                                         40
                                      R = 0.8832
    1800                                                                                          38
    1700                                                                                          36
                                                                                                  34
    1600                                                                                          32
                                                                                                         without Sept 2006 to Dec 2008 period
    1500                                                                                          30                                                                    2108.8
    1400                                                                                          28
                                                                                                  26
           800   1000 1200   1400 1600      1800 2000     2200   2400 2600 2800 3000
                                                                 Fed's balance sheet, USD bn        1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100 2200
                                                                                                                                                                   USD M1, bn


Source: Bloomberg, CEIC, KBank                                                                 Source: Bloomberg, CEIC, KBank


Thailand’s Katrina / 3-11 or our 10-11
The current unfolding events regarding the floods that have devastated about 59
provinces out of 77 province is similar to how Katrina impacted the US Gulf coast areas
or what Japan faced following the 3-11 earthquake / tsunami.

Economic and social losses are at the moment are difficult to estimate. Finance Minister
Thirachai Phuvanatnaranubala has put losses at about THB 60bn while the National
Economic and Social Development Board (NESDB) have estimates the losses at THB80-
90 bn. As the Bank of Thailand is located at the banks of the Chao Prahya river, the
Central Bank is to have a great sense of urgency to adopt a wait and see stance as both
internal and external environment are in an extreme state of flux. This means that carry
trades by shorting the US dollar and a long position in Thai baht is less attractive in
comparison to expectations of a hawkish Bank of Thailand and a dovish Fed. The Venice
of the East (Bangkok is to face the most critical periods of flooding during October 16th to
   th
18 ) given the convergence of a high tide, more run off from the dams up North and
possibly more rainfall from new depression systems.




1212

12
Fig 15. The BOT is located on the banks of the Chao                      Fig 16. Chao Phraya River System, highlighting
Phraya river                                                             impacted areas




Source: Google Maps                                                      Source: wikipedia




Fig 17. Policy rates, TH vs. US                                          Fig 18. Implied forward rates, 1yr rate, 1yr from now

                                                                                                    % change : 1yr rate, 1yr from now
    7
                                                                              0.50
    6                                                                         0.40
    5                                                                         0.30
    4                                                                         0.20
    3                                                                         0.10
                                                                              0.00
    2
                                                                             -0.10    US     CH     ID        MY        UK       KR           EU   SG   TH
    1
                                                                             -0.20
    0
                                                                             -0.30
        00   01   02   03    04    05   06   07      08   09   10   11
                                                                                                          % change : 1yr rate, 1yr from now
                             BOT repo    Fed Funds

Source: Bloomberg, CEIC, KBank                                           Source: Bloomberg, CEIC, KBank




1313

13
USD/THB is declining… because?
The first Friday is one that is most followed by the markets since it is Jobs Friday. The US
labor department reported that September created about 103k jobs which were higher
than what economists had penciled in at 60k. The market seems to be contented with the
report with 10yr bond yields climbing about 2% post the Fed’s announcement of
Operation Twist. Still this is hardly something to celebrate about since while the US
economy might have recovered, but the jobs market (one of the two Fed mandates) is
hardly in equilibrium. At the peak of the US economic boom, the total number of
Americans working excluding the agricultural sector was 137,996k whilst September’s
reading is 131,334k.

Fig 19. US non-farm payrolls change vs. consensus                                                    Fig 20. Total non-farm payrolls

                                                                                                         140,000
      '000
      800
                                                                                                         138,000
      600
      400                                                                                                136,000
      200
                                                                                                         134,000
         0
     -200                                                                                                132,000
     -400
     -600                                                                                                130,000
     -800
                                                                                                         128,000
    -1000
                                                                                                                   00     01    02    03     04       05     06       07      08     09     10    11
          Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11
                                                                                                                                                  non-farm payrolls, k
                               non farm payroll - actual               survey

Source: Bloomberg, CEIC, KBank                                                                       Source: Bloomberg, CEIC, KBank




Hence, there is no double dip for the US jobs market, since it had never recovered. Many
considered that this recent recovery was a “jobless” recovery, which is rather
unsustainable since the US economy is largely driven by consumption. No jobs = no
wages = no income = no spending = no growth. Therefore, it can not be stressed enough
that the economy has to grow in order to accommodate the jobs market. Fig 21 maps the
change in non-farm payrolls as a function of change in nominal GDP, which suggests that
the US economy needs to grow at least 1% just to keep non-farm payrolls at a zero
change. Unfortunately, stimulus via expansionary fiscal policy is no longer an option as
the Eurozone crisis will attest to or else we will hear about the US sovereign debt
crisis…again.

Fig 21. y= f(x), change in non-farm payrolls as a
                                                                                                     Fig 22. US debt to GDP ratio, IMF estimates
function of change in US nominal GDP

                            change in non-farm payrolls                                                  120
                                  1.0%                                                                   110
                                                                                                         100
                                                                                                          90
                                  0.5%                                                                    80
                                                                                                          70
                                0.0%                                                                      60
    -2.5% -2.0% -1.5% -1.0% -0.5% 0.0%         0.5%        1.0%   1.5%       2.0% 2.5% 3.0%               50
                               -0.5%                                                                      40
                                                                             change in nominal GDP        30
                                                                                                          20
                                 -1.0%                                                                    10
                                                                  y = 0.5025x - 0.0048
                                                                         2                                 0
                                 -1.5%                                R = 0.6318
                                                                                                               2006     2007   2008   2009   2010     2011     2012        2013    2014   2015   2016
                                                                         since 2000
                                 -2.0%                                                                                                     US GDP %        IMF projections


Source: Bloomberg, CEIC, KBank                                                                       Source: IMF




1414

14
Beside cheap money with respect to time i.e. interest rates, one way the US can hope to
recover is with cheap money with respect to other currencies i.e. foreign exchange rate.
Fig 23 states our case, mapping the US dollar on a trade weighted basis versus the US
GDP (chain weighted, real). The map suggests that as dollar weakens it will be
supportive of US economic growth. For every point reduction in the US dollar, it should
generate real economic growth of USD 54 bn, vice versa.

This is why the legislative branch of the US government is looking towards a very
precarious maneuver by drafting the “anti China currency bill” which is likely to spark a
trade war. One bitter lesson from the Great Depression was that protectionism and trade
barriers made matters worse and sank the global economy ever further. Fig 24 states the
case for the currency bill, which shows that as the US sinks further into a trade deficit
with China, the number of non-farm payrolls in the manufacturing also falls.

Fig 23. y= f(x), US GDP as a function of trade weight                                                      Fig 24. US trade balance with China & US non-farm
dollar                                                                                                     payrolls – manufacturing sector

  US chain weighted real GDP, US bn                                                                              0                                                                                   19.0
    13500                                                                                                       -50                                                                                  18.0
                                                                                                               -100                                                                                  17.0
    13000                                                                 y = -49.137x + 16851                                                                                                       16.0
                 74, 13,272                                                      2                             -150
    12500                                                                      R = 0.8366                                                                                                            15.0
                                                                                                               -200
                                                                                                                                                                                                     14.0
    12000                                                                                                      -250                                                                                  13.0
                                                                                                                                                          ρ = 92%
                                                                                                               -300                                                                                  12.0
    11500
                                                                                                               -350                                                                                  11.0
    11000                                                                                                             94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11

    10500                                                                                                                   US trade balance with China, 12mth moving sum, USD bn (left axis)
            60            70        80            90            100            110       120         130                    US non-farm payrolls, manufacturing, mn (right axis)
                                                                                DXY, US dollar index

Source: Bloomberg, CEIC, KBank                                                                             Source: Bloomberg, CEIC, KBank


The market expectation is for further downside for the USD/CNY is still tepid since the
spot and the 12mth NDF (non-deliverable forward) is about the same levels. Therefore if
this bill truly picks up momentum, such expectations are likely to change for further
downside for USD/CNY as well as USD/THB as shown by the mappings on fig.26

Fig 25. USD/CNY 12mth NDF, USD/THB                                                                         Fig 26. USD/CNY 12mth NDF, USD/THB mapping

                                                                                                             USD/THB spot
                                                                                                              48
    7.4                                                                                               37
                                                                                                              46
    7.2                                                                                               36                                y = 6.3239x - 9.664
                                                                 correlation coefficient = 0.93               44                              2
                                                                                                      35                                    R = 0.9411
    7.0                                                                                                       42
                                                                                                      34      40
    6.8
                                                                                                      33      38
    6.6                                                                                                       36
                                                                                                      32
    6.4                                                                                               31      34
    6.2                                                                                                       32
                                                                                                      30                       6.348, 30.88
                                                                                                              30
    6.0                                                                                               29
                                                                                                              28
      Jan-08        Jul-08     Jan-09    Jul-09        Jan-10         Jul-10     Jan-11      Jul-11
                                                                                                                 6.0            6.5               7.0          7.5            8.0          8.5        9.0
                                                                                                                                                                                             USD/CNY NDF
                       USD/CNY 12mth NDF (left axis)                  USD/THB spot (right axis)

Source: Bloomberg, CEIC, KBank                                                                             Source: Bloomberg, CEIC, KBank




1515

15
A   Japanization: are we going to see a lost decade in US/EU?

       The experience of Japan during the 1990s when the economy
       remained stagnant is one of the major examples the US and the
       eurozone might try to avoid
       The US and the eurozone had better take a serious measure to
       solve their economies unless they will end up like Japan which its
       government was reluctant to do anything except printing more
       money
       The US could employ fiscal policy and reform its economy to lean
       toward more exports; meanwhile, debasing the dollar is also an
       important tool to lower its debt obligation
       The tangible solution for the eurozone is to take a painful but
       meaningful step; default is already out of the question as Greece is
       seen unable to pay off debt without restructuring the payments
       with its creditors
       The conflict between the US and China over the yuan appreciation
       will remain on-going and will be a part of the global economic
       volatility for the following year


Don’t learn from the Japanese model
The experience of Japan during the 1990s when the economy remained stagnant, called
lost decade, is one of the major examples the US and the eurozone might try to avoid.
The cause of the economic crisis in the US and Japan was similar: the burst of asset
prices. The stock market clashed in 1990 in Japan while the housing prices burst in 2008
in the US. Both the events led to banking crises. The governments took part in stabilizing
the financial market by injecting a great deal of money to keep banks alive. However,
loosening monetary policy led to an increase in money supply and a lower interest rate.
Liquidity trap was a major challenge in economic recovery as borrowers were reluctant to
invest depite low interest rate. Bond issuance caused an increase in public debt, which
led to a question on fiscal sustainability. Consequently, both the US and Japan’s
governments were downgraded. How about the eurozone? The cause of the upcoming
crisis was from an increase in public participation in solving financial crisis in 2008 when
banks were unwilling to lend to another bank for fear of bankrupcy as seen in Lehman
Brothers. Governments in the eurozone stimulated the economies by injecting money to
the system, which subsequently was developed into another form of crisis: sovereign
debt crisis. When the public becomes the problem the economies have no one left to
rescue them. Japan, US and the eurozone have something in common which is the
problem of huge public debt. How can the US and the eurozone avoid following the
Japan’s foot step that caused the economy to stay stagnant for a decade?

Actually, the way the US and the eurozone have been solving their economies is
resemble to what Japan did two decades ago, which is by procrastinating the problem.
No one has been taking a problem seriously. We have not yet seen a critical reform in
any of these economies. Economic structure has remained the same prior to the crises.
American consumers still enjoy incuring consumer’s debt while exports are discouraged




1616

16
by recent rise of the dollar. Greece and other PIIGS were reluctant to take a painful way
of the austerity measures. They could not meet the target that they promised earlier.
German and France have kept bailing out these countries for fear if these governments
declare default. German and French banks would be in trouble as they hold a great deal
of sovereign bonds. Therefore, the solution in the past is very simple: let’s hope there will
be a mirable! Of course, there is no economic miracle to solve the sovereign debt
problem in PIIGS. The longer they wait, the more painful creditors will encounter when
facing with hair cut as the size of the loan has grown bigger due to series of bail-out. The
US and the eurozone had better take a serious measure to solve their economies unless
they will end up like Japan which its government was reluctant to do anything except
printing more money. Don’t forget that Japan was in a better position than the US and
perhaps the eurozone on the ground that Japanese are net savers and exports from
Japan are more competitive.

Fig 27. Growth of money supply in Japan                                               Fig 28. Growth of money supply in the US
    % yoy                           Japan money supply                                         % yoy              US money supply
    35                                                                                    25
    30
                                                                                          20
    25
    20                                                                                    15
    15                                                                                    10
    10
     5                                                                                     5
     0                                                                                     0
    -5
                                                                                          -5
     May-01   May-02       May-03    May-04     May-05     May-06   May-07   May-08
                                                                                           Aug-06       Aug-07   Aug-08         Aug-09   Aug-10   Aug-11
                                    Growth of M1 (% yoy)                                                         Growth of M1 (% yoy)

Source: Bloomberg, KBank                                                              Source: Bloomberg, KBank




Is there a way out?
Yes, of course. There are solutions to solve economic problems in the US and the
eurozone. For the US, monetary policy is doomed. Liquidity trap of low interest rate is
apparent. Therefore, the remaining tool is the fiscal policy. It is still hard to imagine that
this is a solution, especially after the political tension between the Democrats and the
Republicans over raising the debt ceiling and cutting budget deficit. However, the US still
has room to increase government spending to create jobs and private consumption.
Without political competition, the US government still has one powerful tool left. By doing
so, it is important that the US continue reforming its economy to lean toward more
exports. Meanwhile, debasing the dollar is also an important tool to lower its debt
obligation.

How about the eurozone? Politicians in the eurozone have been denying the truth that
they cannot rescue PIIGS. If they continue injecting more money to rescue Greece and
others, they will end up transfering money to PIIGS or bailing out their own banks. Even
they continue pumping more money, it will end up hurting PIIGS more. It is noted that a
country with larger debt obligation is likely to grow at a slower pace than before.
There is a negative relationship between debt burden and growth. When public debt rises
sharply, investors are likely to be worried about fiscal sustainability, which eventually
leads to banking crisis. Banks can be punished from buying government bonds. Higher
public debt leads to higher bond payments, which take a bigger portion of government
budget. The government is seen to have fewer resources to invest. Consequently, a slow
growth of capital stock is unable to induce higher labor productivity, which leads to slower
pace of economic production. The tangible solution for the eurozone is to take a painful
but meaningful step. Default is already out of the question as Greece is seen unable to




1717

17
pay off debt without restructuring the payments with its creditors. Creditors, including
taxpayers, will need to accept losses. The remaining questions are whether other
members of PIIGS will default and how much banks will need to recapitalize. Answers for
these questions remain unknown as it depends on how much investors would continue
selling stocks and depositors could be panic and start to withdraw money from banks that
have high exposure to PIIGS’s debt. It is unavoidable that banks in the eurozone will end
up being downgraded if they fail to recapitalize or prevent the bank run.

                                                            Fig 30. Claims on PIIGS’s public debt by French and
Fig 29. Japanization in the US and the eurozone
                                                            German banks
                                                               USD bn                      Foreign claims on public debt by nationality of reporting banks
                                                                250,000

                                                                200,000

                                                                150,000

                                                                100,000

                                                                 50,000

                                                                        0
                                                                              Dec-11              Mar-11          Dec-11             Mar-11         Dec-11         Mar-11
                                                                            French banks                      German banks                       Other banks

                                                                                       Portugal            Ireland           Italy            Greece           Spain


Source: The Economist, July 30, 2011                        Source: Bloomberg, KBank




Dexia and more to come
Dexia could be viewed as a sign of an early stage of banking crisis in the eurozone.
Dexia is a Franco-Belgian bank that is being in trouble for its high exposure to Greece’s
debt. Dexia used short-term funding to finance long-term lending; hence, credit dried up
during the eurozone debt crisis. Investors are concerned about the bank’s financial health
that has led to a sharp decline in bank’s capital. French-Belgian governments tried to
rescue Dexia either by injecting capital through the EFSF and ECB similarly to the US’
TARP in 2008, yet the plan was dropped as it would deplete resources from EFSF which
should be used as the last resort. France and Belgium helped bail out Dexia, yet failed to
separate bad bank. Subsequently, Dexia was agreed to the nationalization of its Belgian
banking division, which was followed by a warning by Moody’s that the Belgium’s Aa1
government bond ratings could fall with this bail out plan. Based on this example, we will
see larger public intervention on bailing out troubled banks, either by nationalizing banks
or injecting more capital to prevent bank run. If banks collapse, financial turmoil in the
eurozone will prevail. It is likely to see slower growth in the eurozone for the next few
years until banks have successfully recapitalized to gain financial health. In addition,
fiscal reform is necessary to allow the governments to reduce public debt for fear of
disrupting economic growth in the future.

BRICS and world economic recovery
BRICS, namely Brazil, Russia, India, China and South Africa, are emerging economies
that have been enjoying high economic growth. During the economic crisis in 2008,
BRICS’s economies grew remarkably despite a fall of the global demand. Major factors
are that they relied on their domestic consumption and investment to generate growth.
Can they revive the ailing global economy again if we all fall into trouble? This time the
answer is full of uncertainty. After the sub-prime crisis, the Fed introduced QE1 and QE2,
which caused rapid capital flows to BRICS and other regions. Capital flows has led to an
increase in the demand for local currencies, causing stronger exchange rate versus the
US dollar. In order to maintain competitiveness in exports, several central banks




1818

18
intervened the market by accumulating more foreign reserve so as to slow down the pace
of local currency appreciation. This attempt has drawn attention to currency war where
one country has tried to make its exchange rate under-valued so as to gain greater
competitiveness against others. The US is seen hostile to China for making the yuan
artificially under-valued, threatening to pass a currency bill to punish China. The US
claimed that it could generate more jobs if the yuan has been more appreciated.
However, China warned the US that the currency war could lead to a trade war. This
conflict will remain on-going and will be a part of the global economic volatility for the
following year.




1919

19
Pricing in economic slowdown and policy rate pause

          We revised down our target for the policy rate to 3.50% for the end
          of this year, noting the BoT’s proposed change of inflation target as
          well as the worsening global conditions due to Europe’s debt crisis
          Given the new policy target and the BoT’s forecast of decelerating
          headline inflation rate, there should be less pressure to call for
          further hikes
          Bond yields had a volatile third quarter but basically the yield curve
          remained flat
          Foreign investors turned net-sellers of Thai bonds for the first time
          in months and risks of further sell-offs continue although we do not
          expect such an outcome unless European debt crisis turned into a
          global financial crisis of similar impact as the crisis in 2008
          Q1 bond supply capped by delays in fiscal budget, high treasury
          cash balance, and P/N substitution
          FY2012 bond supply plan changed slightly : more long-term bonds,
          lower 3-year bonds
          We continue to see a flat yield curve going forward but the
          uncertainties in global financial markets could lead to lower
          appetite for duration in emerging market bonds: stay short duration



 Market update – September and October interest rate movements
 During the past 3 weeks or so, the situation in Europe with regards to Greece’s debt
 crisis had worsened drastically, driving local bond yields and the IRS rates into different
 directions. The government yield curve shifted upwards as a result of foreign investors’
 sell-off in emerging market assets while the IRS rates fell, following the short-dated
 THBFIX rates on the back of USD liquidity concern in the global markets. During the first
 week of October, such trends started to revert: bond yields started to fall slightly while
 IRS rates saw less downward pressure from the declines in swap points.

Fig 1. Government bond yield curve rebounded                                                       Fig 2. Movements of IRS rates
   %                                Government bond yield curve                                       %
   4.00                                                                               3.83            5.0
                                                                      3.81   3.82
                                                              3.77
   3.80                                                3.69                                           4.5
                   3.63      3.61           3.62
          3.56                      3.58                              3.67   3.69
                                                              3.64                    3.64            4.0
   3.60   3.55     3.55      3.53           3.53       3.53
                                    3.48                                                              3.5
   3.40
          3.45                                                                                        3.0
                                                              3.38    3.41   3.41     3.4
                   3.36                     3.33       3.35
   3.20                      3.32   3.31                                                              2.5

   3.00                                                                                               2.0
           1y      2y        3y      4y      5y        6y     7y      8y         9y   10y               Mar-11     Apr-11     May-11     Jun-11   Jul-11      Aug-11   Sep-11      Oct-11

                 07-Oct-11                 22-Aug-11                 26-Sep-11               TTM                 IRS 2Y                IRS 5Y              IRS 10Y              repo

Source: Bloomberg, KBank                                                                           Source: Bloomberg, KBank




 2020

 20
In any case, we expect that the short-term swap rates would remain capped at low levels
 (way below policy rate) for up to the end of December, given the market’s expectation
 that the Bank of Thailand (BoT) would not increase the policy rate further and the
 ongoing concerns about USD liquidity amid the tightness of USD funding conditions in
 Europe. Hence, we iterated our view last month that it is still a good time for the corporate
 sector to hedge borrowing costs but there is no hurry in doing so.

Fig 3. 6m swap points and 6m THBFIX rate                                                    Fig 4. Bond-swap spreads picked up slightly
   satangs                                                                           %        bps
   50                                                                                3.75      80
                                                                                               60
   45                                                                                3.50
                                                                                               40
   40                                                                                3.25      20
   35                                                                                3.00       0
                                                                                              -20
   30                                                                                2.75
                                                                                              -40
   25                                                                                2.50     -60
   20                                                                                2.25     -80
    Jun-11           Jul-11             Aug-11              Sep-11          Oct-11              Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11               Jul-11       Aug-11 Sep-11      Oct-11

                  USD/THB 6m forward point                      6M THBFIX                            2Y bond-swap spread            5Y bond-swap spread                10Y bond-swap spread

Source: Bloomberg, KBank                                                                    Source: Bloomberg, KBank




 Foreign investors had turned net-sellers of local THB fixed income securities for the first
 time in more than a year during September. During the same month, foreigners also
 pulled out of the local stock market (net-sell USD 541.5mn) and the USD/THB turned
 4.01% weaker in the month of September before rebounding by nearly 1.0% in October.
 Expectations that the Thai baht would not perform in the near-term also reduce
 foreigners’ reinvestment into short-dated debt. As a result, foreign investors’ net holding
 of THB fixed income securities fell from THB 438.6bn at end August to THB 434.2bn at
 end September and further to THB 425.6bn as of October 7th. Furthermore, we note as
 well that foreigners’ holding of THB bonds had climbed by THB 300bn in a short 12
 month period from THB 150bn back in September 2010. This reflects substantial risk of
 sudden capital outflow should foreign funds liquidate THB bonds in the face of another
 outbreak of global financial crisis. If that worst case scenario does not happen, we expect
 that emerging market bonds would continued to see positive demand, given their rising
 significance in the global markets and the stronger fiscal positions of emerging market
 economies.

Fig 5. Foreign holding position declined                                                    Fig 6. Foreign outright trade (net-purchase, monthly)
 Bt bn                                                                                        THB bn
 500                                                                                          180                                              163
 450                                                                                          160
 400                                                                                          140                           127                                      128
 350                                                                                          120
 300                                                                                          100                                 84
                                                                                                     73                71                79                                            up till
 250                                                                                            80
 200                                                                                                                                                                       45          Oct 7th
                                                                                                60        40
 150                                                                                                                                                         28
                                                                                                40             16                                     19
 100
    50                                                                                          20                                                                                      3.7
  -                                                                                              0
                                                                                               -20                                                                              -1.5
      Jan-10 Mar-10 May-10 Jul-10 Sep-10 Nov-10 Jan-11 Mar-11 May-11 Jul-11 Sep-11
                                                                                                    Sep        Nov          Jan         Mar          May             Jul        Sep
                           foreign holding in Thai fixed income, THB bn
                                                                                                                       foreign net-buy in THB bonds (billion baht)

Source: PDMO, KBank                                                                         Source: PDMO, KBank




 2121

 21
During the sell-off, we did notice two factors. First of all, the yield curve had not
 steepened very much, which could be implying that demand for the long-term bonds
 remained and could be similar to the mid-curve bonds. In fact the flattening of the yield
 curve at the end of August, with 2-10 spread at 1bp, had been too abrupt and somewhat
 an overreaction of the market to the flattening of the U.S. yield curve. The sell-off in
 September thus helped to correct this spread back to around 20bp before declining
 towards 9bp on October 7th. This is in line with our expectation that insurance companies
 and pension funds continued to have high demand of bonds going forward. At the same
 time, the government’s bond supply plan does not overweight long-term bonds, as the
 PDMO is careful to push up long-term borrowing costs. Secondly, Fig 8. shows that local
 asset management companies continued to buy into the bond market, with the outright
 net-purchase position increasing for second straight month in September.

Fig 7. Foreigners continued to trade in securities with
                                                                        Fig 8. Asset management (net-purchase, monthly)
maturities <1Yr
                      Composition of bond traded by Non-resident          THB bn
   %
  100                                                                     600

   80                                                                     500

                                                                          400
   60
                                                                          300                                                                          up till
   40
                                                                          200                                                                          Oct 7th
   20
                                                                          100
    0
                                                                            0
        Jul- Aug Sep Oct Nov Dec Jan- Feb Mar Apr May Jun Jul Aug Sep
                                                                                Sep Oct Nov Dec Jan Feb Mar          Apr May Jun         Jul    Aug Sep Oct
         10                       11
                    0-1 Y   1-3 Y     3-5 Y   5-10 Y    > 10 Y                                Mutual fund net-buy in THB bonds (billion baht)

Source: PDMO, KBank                                                     Source: PDMO, KBank




 BoT’s to pause in the face of worsening global conditions
 We have revised down our target for the policy rate this year to 3.50%, from earlier
 expectation of two more rate hikes that could bring the policy rate to 4.00% at year-end.
 For the year 2012, we think that that BoT will continue to stay pat, given that inflationary
 pressure would be reduced by the decelerating growth momentum. As for the MLR
 (minimum lending rate), we do expect it to stay at current level of 7.25% (average of 4
 large banks) following the pausing of the policy rate. At the same time, we do expect that
 the fixed deposit rates would likely pause as well, or edge up very slightly due to banks’
 competition to amass deposits. As a result, we expect that the real policy rate and real
 1-year deposit rate would remain in the negative zone for the next two quarters, with the
 assumption that headline consumer price index climbs by an average of 0.23% each
 month the next three quarters (average monthly change since 2011). Such a condition
 means that monetary conditions remained somewhat accommodative to growth should
 the Thai economy decelerate in accordance to the slowdown in the advanced economies.




 2222

 22
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
KBank Multi Asset Strategies oct 2011 (English)
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KBank Multi Asset Strategies oct 2011 (English)
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KBank Multi Asset Strategies oct 2011 (English)

  • 1. .Mean S Multi Asset Strategies KBank Strategies Macro / Multi Asset Are we falling into the lull of optimism? October 2011 Volume 42 Consensus appears to be hoping for the best and not preparing for the worst. It seems that the bitter lessons of 2008/9 have all Kobsidthi Silpachai, CFA –Kasikornbank kobsidthi.s@kasikornbank.com been but forgotten Susheel Narula – KSecurities Calling the USD/THB direction has now become analogous to a susheel.n@kasikornsecurities.com coin toss…and here we provide two sides of the arguments Kavee Chukitkasem – KSecurities USD/THB options are probably the best bet for the next 1 to 2 kavee.c@kasikornsecurities.com months amidst lack of economic clarity compounded by external KResearch political and social abnormality kr.bd@kasikornresearch.com We revised down our target for the policy rate to 3.50% for the end of this year, noting the BoT’s proposed change of inflation target as well as the worsening global conditions due to Disclaimer: This report must be read with the Europe’s debt crisis Disclaimer on page 44 On equities we advise reducing portfolio at current levels. Aim to that forms part of it accumulate shares as we get below 850 but stick to sectors with business oriented towards domestic consumption Strategic Thesis “KBank Multi Asset The experience of Japan during the 1990s when the economy remained stagnant is one Strategies” of the major examples the US and the Eurozone might try to avoid. Still, consensus can now be accessed on wishes for a recovery but the markets might be saying something else. Of late, calling Bloomberg: KBCM <GO> the direction of the USD/THB is likened to a coin toss. Analyzing the economics is already an arduous task in it of itself. Now the political and social dynamics complicate the direction even further: will Greece be the Achilles’’ heel of the euro? Will Troika withhold the next tranche of financial infusion? In light of lack of direction signals, USD/THB options seem to be the best bet amidst a dearth of clarity. We provide thoughts why USD/THB could cut both ways: up or down. We revised down our target for the policy rate to 3.50% for the end of this year, noting the BoT’s proposed change of inflation target as well as the worsening global conditions due to Europe’s debt crisis. The yield curve should continue to stay flat but the uncertainties in global financial markets could lead to lower appetite for duration in emerging market bonds: stay short th duration prior to MPC meeting on Oct 19 . As with other asset classes, volatility in the equity markets will continue. We have set ourselves a one-month window ending in early November before considering the need to change fundamental macro assumptions which will change market outlook. There is a downside risk to our view presently, but we see SET index at 812 to provide strong support. This is based on PBV at 1.5x (fundamentally) and peak-to-trough correction of 30% (technically) – both historically well-tested. Our worst-case has SET index at 730, arrived through stress- testing assumptions on 2012 GDP growth at 1.9% from 5% with increased required risk premium. This worst-case scenario is comparatively better than the worst-case saw in the US sub prime crisis of 2008-9 when the SET went below 400. 11 1 WWW.KASIKORNBANKGROUP.COM
  • 2. Key Parameters & Forecasts at Year-end 2004 2005 2006 2007 2008 2009 2010 2011E 2012E GDP, % YoY 6.3 4.6 5.2 4.9 2.5 -2.3 7.8 3.8 4.5 Consumption, % YoY 6.2 4.6 3.0 1.6 2.7 -1.1 4.8 3.6 3.8 Investment Spending, % YoY 13.2 10.5 3.9 1.3 1.2 -9.2 9.4 6.3 5.8 Govt Budget / GDP % -0.2 0.3 -0.7 -1.5 -1.0 -5.6 -3.2 -4.0 -4.5 Export, % YoY 21.6 15.2 17.0 17.3 15.9 -14.0 28.5 20.0 10.0 Import, % YoY 25.7 25.8 7.9 9.1 26.5 -25.2 36.8 24.0 12.0 Current Account (USD bn) 2.77 -7.6 2.3 14.1 1.6 21.9 14.8 12.9 8.1 CPI % YoY, average 2.8 4.5 4.6 2.3 5.5 -0.9 3.3 3.8 3.7 USD/THB 38.9 41.0 36.1 33.7 34.8 33.3 31.4 29.0 28.0 Fed Funds, % year-end 2.25 4.25 5.25 4.25 0.25 0.25 0.25 0.25 0.25 BOT repo, % year-end 2.00 4.00 5.00 3.25 2.75 1.25 2.00 3.50 3.50 Bond Yields 2yr, % year-end 2.78 4.94 5.02 3.91 1.98 2.17 2.35 3.60 3.60 5yr, % year-end 4.0 5.3 5.1 4.5 2.2 3.6 2.75 3.65 3.65 10yr, % year-end 4.9 5.5 5.4 4.9 2.7 4.3 3.25 3.80 3.80 USD/JPY 102.5 118.0 119.1 111.8 90.7 93.0 82.0 77 81 EUR/USD 1.36 1.18 1.32 1.46 1.40 1.43 1.40 1.35 1.40 SET Index 668.1 713.7 679.8 858.1 450.0 734.5 1040 812 1320 Source: Bloomberg, CEIC, KBank, KResearch, KSecurities KBank Thai Government Bond Rich / Cheap model Bps (actual YTM vs. model) 20.00 15.00 10.00 5.00 0.00 -5.00 -10.00 -15.00 3 mth avg Now -20.00 LB296A LB123A LB133A LB137A LB145B LB14DA LB155A LB15DA LB167A LB16NA LB175A LB183B LB191A LB196A LB198A LB19DA LB213A LB24DA LB267A LB283A LB396A Source: Bloomberg, KBank 22 2
  • 3. KBank THB NEER Index KBank USD/THB – FX Reserves / USD Majors model Jan 1995 = 100 KBank THB Trade Weighted Index KBank USD/THB model 48 105 46 44 100 + 1 std 42 d 40 95 38 36 90 average 34 32 85 30 80 -1 std dev 28 01 02 03 04 05 06 07 08 09 10 11 12 75 00 01 02 03 04 05 06 07 08 09 10 11 actual model Source: Bloomberg, KBank Source: Bloomberg, KBank FX reserves – USD/THB model DXY – USD/THB model USD/THB USD/THB since 2001 48 50 46 y = -7.4157Ln(x) + 69.035 44 2 45 42 R = 0.8878 40 40 38 36 35 y = 29.695Ln(x) - 95.504 2 34 R = 0.7685 32 30 30 28 25 26 70 75 80 85 90 95 100 105 110 115 120 125 25 50 75 100 125 150 175 200 225 250 DXY FX reserves to USD/THB mapping current 2011 forecast FX reserves, USD bn DXY to USD/THB mapping current Source: Bloomberg, KBank Source: Bloomberg, KBank KBank BOT repo model SET forward dividend yield vs. 10yr bond yield % % 5.5 9 5.0 8 4.5 7 4.0 6 3.5 5 3.0 4 2.5 2.0 3 1.5 2 1.0 1 0.5 0 0.0 00 01 02 03 04 05 06 07 08 09 10 11 01 02 03 04 05 06 07 08 09 10 11 12 13 actual model 10yr yields SET forward dividend yields Source: Bloomberg, KBank Source: Bloomberg, KBank 33 3
  • 4. Thai inflation parameters Thai contribution to GDP growth CPI yoy PPI yoy Core CPI yoy % yoy 25% 15 20% 10 15% 5 10% 0 5% -5 0% -10 -5% -15 -10% 1Q09 3Q09 1Q10 3Q10 1Q11 -15% Private consumption Government Consumption Gross fixed capital formation 05 06 07 08 09 10 11 Inventory change Net exports GDP yoy Source: CEIC, KBank Source: NESDB, KBank Implied forward curve: swaps Implied forward curve: TGBs % Implied forward rate shifts (IRS) % Bond yields implied curve shifts 3.90 4.25 3.70 4.00 3.50 3.30 3.75 3.10 2.90 3.50 2.70 tenor (yrs) tenor (yrs) 2.50 3.25 0 1 2 3 4 5 6 7 8 9 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Oct-11 Jan-12 Apr-12 Oct-12 Oct-11 Jan-12 Apr-12 Oct-12 Source: Bloomberg, KBank Source: Bloomberg, KBank US 2yr yields and implied forward US 5yr yields and implied forward 7.0 8 6.0 7 5.0 6 5 4.0 4 3.0 3 2.0 2 1.0 1 0.0 0 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 2yr yields, % implied forwards 5yr yields, % implied forwards Source: Bloomberg, KBank Source: Bloomberg, KBank 44 4
  • 5. KBank EUR/THB model KBank JPY/THB model EUR/THB JPY/THB 43.0 56.0 54.0 41.0 52.0 39.0 50.0 37.0 48.0 46.0 35.0 44.0 33.0 42.0 31.0 40.0 29.0 38.0 36.0 27.0 34.0 25.0 01 02 03 04 05 06 07 08 09 10 11 12 01 02 03 04 05 06 07 08 09 10 11 12 actual model actual model Source: Bloomberg, KBank Source: Bloomberg, KBank KBank GBP/THB model KBank CNY/THB model GBP/THB CNY/THB 5.8 78.0 5.6 73.0 5.4 68.0 5.2 63.0 5.0 58.0 4.8 4.6 53.0 4.4 48.0 4.2 43.0 4.0 01 02 03 04 05 06 07 08 09 10 11 12 01 02 03 04 05 06 07 08 09 10 11 12 actual model actual model Source: Bloomberg, KBank Source: Bloomberg, KBank KBank THB/VND model KBank AUD/THB model THB/VND AUD/THB 800 35.0 750 700 33.0 650 31.0 600 29.0 550 500 27.0 450 25.0 400 350 23.0 300 21.0 01 02 03 04 05 06 07 08 09 10 11 12 01 02 03 04 05 06 07 08 09 10 11 12 actual model actual model Source: Bloomberg, KBank Source: Bloomberg, KBank 55 5
  • 6. This page has been left blank intentionally 66 6
  • 7. Are we falling into the lull of optimism? Kobsidthi Silpachai, CFA - Kasikornbank If we look at consensus forecasts for 2011 and especially 2012, economists are not kobsidthi.s@kasikornbank.com paying heed to Michel de Notradamus’s prediction that the world as we know it will no longer exist post December 21st, 2012. According to the IMF’s latest forecasts, the global Nalin Chutchotitham – Kasikornbank nalin.c@kasikornbank.com economy is to expand close to 4% for 2012 while Thailand is see a 4.8% pick up in economic activities. Amonthep Chawla, Ph.D. – Kasikornbank amonthep.c@kasikornbank.com An argument against such optimism is gaining momentum as financial market conditions looks and feels more and more of a de javu of 2008. Prior to 2008, the US yield curve was flat and or inverted most of 2006 and 2007. In early 2008, Bear Stearns a global investment bank which had a peak market capitalization of USD 24.88bn collapsed and was bought by JP Morgan. On the macro front, non-farm payrolls had peaked in January 2008 (138 million) and were on a substantial decline leading to a surge on mortgage delinquencies. Fig 1. IMF forecast for global economic growth... Fig 2. IMF forecast for Thai economic growth 6 9 8 5 7 4 6 5 3 4 3 2 2 1 1 0 0 -1 -2 -1 -3 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 World economic growth, % IMF projections, % Thai economic growth, % IMF projections, % Source: IMF Source: IMF Beside these ominous sign posts, one barometer of a prelude towards a full blown financial crisis is proxies of credit spreads. Here we are referring to LIBOR OIS spreads. These LIBOR OIS spreads (short for Overnight Index Swaps) are the difference between inter-bank funding benchmarks such as 3mth LIBOR minus a geometric estimate of central bank funding rates. The rule of thumb is, the higher the spread, the tighter the credit conditions in the inter-bank market Fig 3. US Libor OIS Fig 4. EU Libor OIS 400 200 350 180 160 300 140 250 120 200 100 150 80 60 100 40 50 20 0 0 02 03 04 05 06 07 08 09 10 11 02 03 04 05 06 07 08 09 10 11 US LIBOR OIS (Overnight Index Swap), bps Euro LIBOR OIS (Overnight Index Swap), bps Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 77 7
  • 8. USD/THB, it cuts both ways In the following, we ponder both cases for further USD/THB downside and upside and summarized in fig 5. Fig 5. USD/THB, it cuts both ways The case for lower USD/THB The case for higher USD/THB The US economy is still floundering. With unemployment very Bureaucracy of the EU system limits the speed of how elevated at 9%+, economic stimulus no doubt is needed European authorities can effectively respond and resolve the Fiscal constraints means that stimulus in the form of crisis and allows the Eurozone to implode into a full fledge expansionary fiscal policy is not an option sovereign domino defaults and bank runs / closures …hence QE3, 4, …. is still needed…..meaning the Fed will Risk aversion kicks in and investors further reduced printing more US dollars to monetize and reduce their investment positions in all sorts of risk asset classes indebtedness including emerging markets equities and bonds The European authorities, despite having demonstrated Higher risk perception of the EUR will prompt a shift of shortcoming of leadership, solidarity and efficiency in dealing reserves away from the 17 nation currency (market share of with the sovereign debt / banking crisis, is able to prevent or 27%) and towards the US dollar (market share of 60%) postpone a full blown crisis The Fed is contented with just the 2011 version of “Operation Thailand is seen to post current account surpluses, meaning Twist”. This means that the Fed will not expand its balance sellers of USD/THB outnumber buyers of USD/THB at the sheet and slows down the pace of US dollar printing i.e. M1 current level money supply China proceeds with CNY appreciation. This allows regional The Bank of Thailand adopts a wait and see stance on currencies including the Thai baht to appreciate as well monetary policy amidst lack clarity on the global economic without significant implications on competitiveness front. This reduces support for the baht as policy rates stay Thai baht remains undervalued e.g. the Economist Big Mac at 3.50% index estimates Thai baht is 42.3% undervalued relative to the US dollar. Source: KBank Source: KBank USD/THB elevating higher… because? In May 2010 and onwards, Greece, Ireland and Portugal sought financial bailout packages from other Eurozone countries and the International Monetary Fund (IMF). More than a year afterwards, much of the pledges of austerity, especially for the case of Greece were empty promises. With cross holdings of various Eurozone government bonds by various Eurozone commercial banks, the deterioration in fiscal health of government inadvertently meant the demise of commercial banks. If one was to make an analogy what CDOs (collateralized debt obligations) did to American and other banks worldwide post 2008 to now, it would be the toxic bonds of the weaker links (such as the PIIGS group) in the EU. Fig 6 shows that as Greek bond prices fall, it will take the Euro Stoxx bank index with it. The Euro Stoxx bank index comprises of 32 European banks with a cumulative total asset of EUR 5 trillion versus the Eurozone GDP of EUR 2.9 trillion. As the market value of these banks equity falls below their book value, it provides a estimate of how much recapitalization is needed. On figure 7, the implied recapitalization needs of these 32 banks are about EUR 367bn, currently. This is a moving target, as market expectations changes. Another point that can be taken from this is that, investors of banks have more or less have withdrawn their money in the form of equity. The question now is whether other sources of funds will withdraw their deposits i.e. bank runs. 88 8
  • 9. Fig 6. Greece 10yr bond price, Euro Stoxx bank index Fig 7. Implied recapitalization of Euro Stoxx banks 110 260 600,000 100 240 90 400,000 220 80 200 200,000 70 180 60 0 160 50 00 01 02 03 04 05 06 07 08 09 10 11 40 140 -200,000 30 120 -400,000 20 100 Mar-10 Jun-10 Sep-10 Dec-10 Mar-11 Jun-11 Sep-11 -600,000 Greece 10yr bond, % of par (left) Euro Stoxx Bank index (right) Euro Stoxx bank index, market cap less book value implied recapitalization, EUR mn Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank What is the European immediate response, attempting to contain the crisis? Four little letters: EFSF with a big task. EFSF is short for “European Financial Stability Facility”. EFSF is similar in concept to our FIDF (Financial Institution Development Fund). During the 1997 crisis, the FIDF attempt to assuage bank runs on deposits. But when the dust settled, some 56 finance companies had to close and a handful of banks had to be nationalized to avert calamity. Recently, the EU authorities are pushing to expand the war chest of the EFSF, from EUR440bn to around EUR780bn, which represents the guaranteed commitments by countries within the Eurozone. The idea being, the EFSF would raise funding in the market, which it has so far sold 3 tranches for a total of EUR13bn, and on-lend to entities it deems needed financial assistance. However in the event that the EFSF could not honor its own financial obligations, the countries as shown in fig 8, would have to honor the EFSF on its behalf. Imagine a case where if the EFSF lent money to France. France was unable to pay back the EFSF and causing the EFSF to be unable to pay back its creditors. The creditors can then demand payments from say, Germany. The unfortunate thing is that most of these countries pledging to back the EFSF are not in a healthy fiscal position to back up their commitments in the first place. Even the market perceived mighty economy of Germany already has a debt / GDP ratio of 83%, well above the Maastricht Treaty limit of 60%. This questions the viability of the EFSF as it is really the weak nations trying to save themselves. It would stand a higher probability of success if Asian investors / central banks / sovereign wealth funds are lured into buying the EFSF bonds despite the fact that it is backed by near bankrupt nations. 99 9
  • 10. Fig 8. EFSF guarantors and their budget / GDP & debt / GDP ratios Country Guarantee commitments, EUR mn budget / GDP, % public debt/ GDP, % Kingdom of Belgium 27,032 -4.1 96.8 Federal Republic of Germany 211,046 -3.3 83.2 Ireland 12,378 -32.4 96.2 Kingdom of Spain 92,544 -9.2 60.1 French Republic 158,488 -7.0 81.7 Italian Republic 139,268 -4.6 119.0 Republic of Cyprus 1,526 -5.3 60.8 Grand Duchy of Luxembourg 1,947 -1.7 18.4 Republic of Malta 704 -3.6 68.0 Kingdom of the Netherlands 44,446 -5.4 62.7 Republic of Austria 21,639 -4.6 72.3 Portuguese Republic 19,507 -9.1 93.0 Republic of Slovenia 3,664 -5.6 38.0 Slovak Republic 7,728 -7.9 41.0 Republic of Finland 13,974 -2.5 48.4 Hellenic Republic 21,898 -10.5 142.8 Republic of Estonia 1,995 0.1 6.6 Total Guarantee Commitments 779,783 Source: http://www.efsf.europa.eu/about/index.htm This hence leads to the lingering-in- the-back-of- market’s mind, will the euro survive. In his last ECB meeting, Jean Claude Trichet said that the euro will still be around in 10 years time. But what if it isn’t and the market has to go back to the US dollar, despite all of its imperfections? As the EUR arrived on the FX scene Asian central banks which had the Deutschemark as one of its reserve currency had to trade it in for the Euro. At the time of fixing, it was 1.95583 DEM to 1 EUR. Fig 10 shows that EUR’s market share rose from 18% to 26%+ at the expense of a lower USD market share slipping from 72% to 60%. Fig 9. Market share of fiat FX currency reserves Fig 10. USD, EUR market share in FX reserves GBP Other World's breakdown of reserve currency CHF 4.2% 4.9% 74 30 0.1% 72 28 JPY 3.9% 70 26 68 24 66 22 EUR 26.7% 64 20 USD 60.2% 62 18 60 16 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 % holding in USD (left axis) % holding in EUR (right axis) Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 1010 10
  • 11. Operation Twist is another factor which had reversed the bearishness of the USD towards a bullish swing. The September 21st FOMC statement was US dollar bullish as: To support a stronger economic recovery and to help ensure that inflation, over time, is at levels consistent with the dual mandate, the Committee decided today to extend the average maturity of its holdings of securities. The Committee intends to purchase, by the end of June 2012, $400 billion of Treasury securities with remaining maturities of 6 years to 30 years and to sell an equal amount of Treasury securities with remaining maturities of 3 years or less. This program should put downward pressure on longer-term interest rates and help make broader financial conditions more accommodative. The Committee will regularly review the size and composition of its securities holdings and is prepared to adjust those holdings as appropriate. The buying and selling of equal amounts equates to no significant expansion in the Fed’s balance sheet. Hence the exercise is merely a sector rotation, from the short end of the curve to the long end of the curve. This is a means of reducing the gapping as to force commercial banks to switch from making money from taking duration risk and toward taking credit risk. Operation Twist is to crowd out the non-private sector simulative activities i.e. borrowing from the Fed and lending to the US Treasury instead of lending to the private sector. Fig 11 shows that Fed Funds rate and the shape of the yield curve move in opposite directions, that is, as Fed Funds rises, the yield curve steepens. Whereas when the Fed Funds falls, the curve flattens. The Fed has flagged its intention to keep short rates where they are i.e. low. Hence to flatten the yield curve to encourage banks to take credit risk, the Fed has to buy longer dated maturity treasuries. Fig 11. Fed Funds rate, shape of the US yield curve Fig 12. US bank’s loans and leases, stagnating bps % 8,000 350 7 7,000 300 correlation is -93% 6 6,000 250 5 5,000 200 150 4 4,000 100 3 3,000 50 2,000 2 0 1 1,000 -50 00 01 02 03 04 05 06 07 08 09 10 11 - -100 0 73 75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 US 10yr yield less 2yr yield, left Fed Funds, right Loans and leases, USD bn Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 1111 11
  • 12. This, in it of itself, highlight that the Fed is in no urgency to print more money. Hence it reduces the bearish cue for USD/THB. Fig 13. y = f(x), USD M1 money supply as a function of Fig 14. y = f(x), USD/THB as a function of USD M1 Fed’s balance sheet money supply USD M1 money supply, USD bn 2200 USD/THB 48 2100 46 2000 44 y = -0.0188x + 65.37 2 y = 0.0002x - 0.4615x + 1711.7 42 1900 2 R = 0.9398 2 40 R = 0.8832 1800 38 1700 36 34 1600 32 without Sept 2006 to Dec 2008 period 1500 30 2108.8 1400 28 26 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 Fed's balance sheet, USD bn 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000 2100 2200 USD M1, bn Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank Thailand’s Katrina / 3-11 or our 10-11 The current unfolding events regarding the floods that have devastated about 59 provinces out of 77 province is similar to how Katrina impacted the US Gulf coast areas or what Japan faced following the 3-11 earthquake / tsunami. Economic and social losses are at the moment are difficult to estimate. Finance Minister Thirachai Phuvanatnaranubala has put losses at about THB 60bn while the National Economic and Social Development Board (NESDB) have estimates the losses at THB80- 90 bn. As the Bank of Thailand is located at the banks of the Chao Prahya river, the Central Bank is to have a great sense of urgency to adopt a wait and see stance as both internal and external environment are in an extreme state of flux. This means that carry trades by shorting the US dollar and a long position in Thai baht is less attractive in comparison to expectations of a hawkish Bank of Thailand and a dovish Fed. The Venice of the East (Bangkok is to face the most critical periods of flooding during October 16th to th 18 ) given the convergence of a high tide, more run off from the dams up North and possibly more rainfall from new depression systems. 1212 12
  • 13. Fig 15. The BOT is located on the banks of the Chao Fig 16. Chao Phraya River System, highlighting Phraya river impacted areas Source: Google Maps Source: wikipedia Fig 17. Policy rates, TH vs. US Fig 18. Implied forward rates, 1yr rate, 1yr from now % change : 1yr rate, 1yr from now 7 0.50 6 0.40 5 0.30 4 0.20 3 0.10 0.00 2 -0.10 US CH ID MY UK KR EU SG TH 1 -0.20 0 -0.30 00 01 02 03 04 05 06 07 08 09 10 11 % change : 1yr rate, 1yr from now BOT repo Fed Funds Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 1313 13
  • 14. USD/THB is declining… because? The first Friday is one that is most followed by the markets since it is Jobs Friday. The US labor department reported that September created about 103k jobs which were higher than what economists had penciled in at 60k. The market seems to be contented with the report with 10yr bond yields climbing about 2% post the Fed’s announcement of Operation Twist. Still this is hardly something to celebrate about since while the US economy might have recovered, but the jobs market (one of the two Fed mandates) is hardly in equilibrium. At the peak of the US economic boom, the total number of Americans working excluding the agricultural sector was 137,996k whilst September’s reading is 131,334k. Fig 19. US non-farm payrolls change vs. consensus Fig 20. Total non-farm payrolls 140,000 '000 800 138,000 600 400 136,000 200 134,000 0 -200 132,000 -400 -600 130,000 -800 128,000 -1000 00 01 02 03 04 05 06 07 08 09 10 11 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 non-farm payrolls, k non farm payroll - actual survey Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank Hence, there is no double dip for the US jobs market, since it had never recovered. Many considered that this recent recovery was a “jobless” recovery, which is rather unsustainable since the US economy is largely driven by consumption. No jobs = no wages = no income = no spending = no growth. Therefore, it can not be stressed enough that the economy has to grow in order to accommodate the jobs market. Fig 21 maps the change in non-farm payrolls as a function of change in nominal GDP, which suggests that the US economy needs to grow at least 1% just to keep non-farm payrolls at a zero change. Unfortunately, stimulus via expansionary fiscal policy is no longer an option as the Eurozone crisis will attest to or else we will hear about the US sovereign debt crisis…again. Fig 21. y= f(x), change in non-farm payrolls as a Fig 22. US debt to GDP ratio, IMF estimates function of change in US nominal GDP change in non-farm payrolls 120 1.0% 110 100 90 0.5% 80 70 0.0% 60 -2.5% -2.0% -1.5% -1.0% -0.5% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 50 -0.5% 40 change in nominal GDP 30 20 -1.0% 10 y = 0.5025x - 0.0048 2 0 -1.5% R = 0.6318 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 since 2000 -2.0% US GDP % IMF projections Source: Bloomberg, CEIC, KBank Source: IMF 1414 14
  • 15. Beside cheap money with respect to time i.e. interest rates, one way the US can hope to recover is with cheap money with respect to other currencies i.e. foreign exchange rate. Fig 23 states our case, mapping the US dollar on a trade weighted basis versus the US GDP (chain weighted, real). The map suggests that as dollar weakens it will be supportive of US economic growth. For every point reduction in the US dollar, it should generate real economic growth of USD 54 bn, vice versa. This is why the legislative branch of the US government is looking towards a very precarious maneuver by drafting the “anti China currency bill” which is likely to spark a trade war. One bitter lesson from the Great Depression was that protectionism and trade barriers made matters worse and sank the global economy ever further. Fig 24 states the case for the currency bill, which shows that as the US sinks further into a trade deficit with China, the number of non-farm payrolls in the manufacturing also falls. Fig 23. y= f(x), US GDP as a function of trade weight Fig 24. US trade balance with China & US non-farm dollar payrolls – manufacturing sector US chain weighted real GDP, US bn 0 19.0 13500 -50 18.0 -100 17.0 13000 y = -49.137x + 16851 16.0 74, 13,272 2 -150 12500 R = 0.8366 15.0 -200 14.0 12000 -250 13.0 ρ = 92% -300 12.0 11500 -350 11.0 11000 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 10500 US trade balance with China, 12mth moving sum, USD bn (left axis) 60 70 80 90 100 110 120 130 US non-farm payrolls, manufacturing, mn (right axis) DXY, US dollar index Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank The market expectation is for further downside for the USD/CNY is still tepid since the spot and the 12mth NDF (non-deliverable forward) is about the same levels. Therefore if this bill truly picks up momentum, such expectations are likely to change for further downside for USD/CNY as well as USD/THB as shown by the mappings on fig.26 Fig 25. USD/CNY 12mth NDF, USD/THB Fig 26. USD/CNY 12mth NDF, USD/THB mapping USD/THB spot 48 7.4 37 46 7.2 36 y = 6.3239x - 9.664 correlation coefficient = 0.93 44 2 35 R = 0.9411 7.0 42 34 40 6.8 33 38 6.6 36 32 6.4 31 34 6.2 32 30 6.348, 30.88 30 6.0 29 28 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 6.0 6.5 7.0 7.5 8.0 8.5 9.0 USD/CNY NDF USD/CNY 12mth NDF (left axis) USD/THB spot (right axis) Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 1515 15
  • 16. A Japanization: are we going to see a lost decade in US/EU? The experience of Japan during the 1990s when the economy remained stagnant is one of the major examples the US and the eurozone might try to avoid The US and the eurozone had better take a serious measure to solve their economies unless they will end up like Japan which its government was reluctant to do anything except printing more money The US could employ fiscal policy and reform its economy to lean toward more exports; meanwhile, debasing the dollar is also an important tool to lower its debt obligation The tangible solution for the eurozone is to take a painful but meaningful step; default is already out of the question as Greece is seen unable to pay off debt without restructuring the payments with its creditors The conflict between the US and China over the yuan appreciation will remain on-going and will be a part of the global economic volatility for the following year Don’t learn from the Japanese model The experience of Japan during the 1990s when the economy remained stagnant, called lost decade, is one of the major examples the US and the eurozone might try to avoid. The cause of the economic crisis in the US and Japan was similar: the burst of asset prices. The stock market clashed in 1990 in Japan while the housing prices burst in 2008 in the US. Both the events led to banking crises. The governments took part in stabilizing the financial market by injecting a great deal of money to keep banks alive. However, loosening monetary policy led to an increase in money supply and a lower interest rate. Liquidity trap was a major challenge in economic recovery as borrowers were reluctant to invest depite low interest rate. Bond issuance caused an increase in public debt, which led to a question on fiscal sustainability. Consequently, both the US and Japan’s governments were downgraded. How about the eurozone? The cause of the upcoming crisis was from an increase in public participation in solving financial crisis in 2008 when banks were unwilling to lend to another bank for fear of bankrupcy as seen in Lehman Brothers. Governments in the eurozone stimulated the economies by injecting money to the system, which subsequently was developed into another form of crisis: sovereign debt crisis. When the public becomes the problem the economies have no one left to rescue them. Japan, US and the eurozone have something in common which is the problem of huge public debt. How can the US and the eurozone avoid following the Japan’s foot step that caused the economy to stay stagnant for a decade? Actually, the way the US and the eurozone have been solving their economies is resemble to what Japan did two decades ago, which is by procrastinating the problem. No one has been taking a problem seriously. We have not yet seen a critical reform in any of these economies. Economic structure has remained the same prior to the crises. American consumers still enjoy incuring consumer’s debt while exports are discouraged 1616 16
  • 17. by recent rise of the dollar. Greece and other PIIGS were reluctant to take a painful way of the austerity measures. They could not meet the target that they promised earlier. German and France have kept bailing out these countries for fear if these governments declare default. German and French banks would be in trouble as they hold a great deal of sovereign bonds. Therefore, the solution in the past is very simple: let’s hope there will be a mirable! Of course, there is no economic miracle to solve the sovereign debt problem in PIIGS. The longer they wait, the more painful creditors will encounter when facing with hair cut as the size of the loan has grown bigger due to series of bail-out. The US and the eurozone had better take a serious measure to solve their economies unless they will end up like Japan which its government was reluctant to do anything except printing more money. Don’t forget that Japan was in a better position than the US and perhaps the eurozone on the ground that Japanese are net savers and exports from Japan are more competitive. Fig 27. Growth of money supply in Japan Fig 28. Growth of money supply in the US % yoy Japan money supply % yoy US money supply 35 25 30 20 25 20 15 15 10 10 5 5 0 0 -5 -5 May-01 May-02 May-03 May-04 May-05 May-06 May-07 May-08 Aug-06 Aug-07 Aug-08 Aug-09 Aug-10 Aug-11 Growth of M1 (% yoy) Growth of M1 (% yoy) Source: Bloomberg, KBank Source: Bloomberg, KBank Is there a way out? Yes, of course. There are solutions to solve economic problems in the US and the eurozone. For the US, monetary policy is doomed. Liquidity trap of low interest rate is apparent. Therefore, the remaining tool is the fiscal policy. It is still hard to imagine that this is a solution, especially after the political tension between the Democrats and the Republicans over raising the debt ceiling and cutting budget deficit. However, the US still has room to increase government spending to create jobs and private consumption. Without political competition, the US government still has one powerful tool left. By doing so, it is important that the US continue reforming its economy to lean toward more exports. Meanwhile, debasing the dollar is also an important tool to lower its debt obligation. How about the eurozone? Politicians in the eurozone have been denying the truth that they cannot rescue PIIGS. If they continue injecting more money to rescue Greece and others, they will end up transfering money to PIIGS or bailing out their own banks. Even they continue pumping more money, it will end up hurting PIIGS more. It is noted that a country with larger debt obligation is likely to grow at a slower pace than before. There is a negative relationship between debt burden and growth. When public debt rises sharply, investors are likely to be worried about fiscal sustainability, which eventually leads to banking crisis. Banks can be punished from buying government bonds. Higher public debt leads to higher bond payments, which take a bigger portion of government budget. The government is seen to have fewer resources to invest. Consequently, a slow growth of capital stock is unable to induce higher labor productivity, which leads to slower pace of economic production. The tangible solution for the eurozone is to take a painful but meaningful step. Default is already out of the question as Greece is seen unable to 1717 17
  • 18. pay off debt without restructuring the payments with its creditors. Creditors, including taxpayers, will need to accept losses. The remaining questions are whether other members of PIIGS will default and how much banks will need to recapitalize. Answers for these questions remain unknown as it depends on how much investors would continue selling stocks and depositors could be panic and start to withdraw money from banks that have high exposure to PIIGS’s debt. It is unavoidable that banks in the eurozone will end up being downgraded if they fail to recapitalize or prevent the bank run. Fig 30. Claims on PIIGS’s public debt by French and Fig 29. Japanization in the US and the eurozone German banks USD bn Foreign claims on public debt by nationality of reporting banks 250,000 200,000 150,000 100,000 50,000 0 Dec-11 Mar-11 Dec-11 Mar-11 Dec-11 Mar-11 French banks German banks Other banks Portugal Ireland Italy Greece Spain Source: The Economist, July 30, 2011 Source: Bloomberg, KBank Dexia and more to come Dexia could be viewed as a sign of an early stage of banking crisis in the eurozone. Dexia is a Franco-Belgian bank that is being in trouble for its high exposure to Greece’s debt. Dexia used short-term funding to finance long-term lending; hence, credit dried up during the eurozone debt crisis. Investors are concerned about the bank’s financial health that has led to a sharp decline in bank’s capital. French-Belgian governments tried to rescue Dexia either by injecting capital through the EFSF and ECB similarly to the US’ TARP in 2008, yet the plan was dropped as it would deplete resources from EFSF which should be used as the last resort. France and Belgium helped bail out Dexia, yet failed to separate bad bank. Subsequently, Dexia was agreed to the nationalization of its Belgian banking division, which was followed by a warning by Moody’s that the Belgium’s Aa1 government bond ratings could fall with this bail out plan. Based on this example, we will see larger public intervention on bailing out troubled banks, either by nationalizing banks or injecting more capital to prevent bank run. If banks collapse, financial turmoil in the eurozone will prevail. It is likely to see slower growth in the eurozone for the next few years until banks have successfully recapitalized to gain financial health. In addition, fiscal reform is necessary to allow the governments to reduce public debt for fear of disrupting economic growth in the future. BRICS and world economic recovery BRICS, namely Brazil, Russia, India, China and South Africa, are emerging economies that have been enjoying high economic growth. During the economic crisis in 2008, BRICS’s economies grew remarkably despite a fall of the global demand. Major factors are that they relied on their domestic consumption and investment to generate growth. Can they revive the ailing global economy again if we all fall into trouble? This time the answer is full of uncertainty. After the sub-prime crisis, the Fed introduced QE1 and QE2, which caused rapid capital flows to BRICS and other regions. Capital flows has led to an increase in the demand for local currencies, causing stronger exchange rate versus the US dollar. In order to maintain competitiveness in exports, several central banks 1818 18
  • 19. intervened the market by accumulating more foreign reserve so as to slow down the pace of local currency appreciation. This attempt has drawn attention to currency war where one country has tried to make its exchange rate under-valued so as to gain greater competitiveness against others. The US is seen hostile to China for making the yuan artificially under-valued, threatening to pass a currency bill to punish China. The US claimed that it could generate more jobs if the yuan has been more appreciated. However, China warned the US that the currency war could lead to a trade war. This conflict will remain on-going and will be a part of the global economic volatility for the following year. 1919 19
  • 20. Pricing in economic slowdown and policy rate pause We revised down our target for the policy rate to 3.50% for the end of this year, noting the BoT’s proposed change of inflation target as well as the worsening global conditions due to Europe’s debt crisis Given the new policy target and the BoT’s forecast of decelerating headline inflation rate, there should be less pressure to call for further hikes Bond yields had a volatile third quarter but basically the yield curve remained flat Foreign investors turned net-sellers of Thai bonds for the first time in months and risks of further sell-offs continue although we do not expect such an outcome unless European debt crisis turned into a global financial crisis of similar impact as the crisis in 2008 Q1 bond supply capped by delays in fiscal budget, high treasury cash balance, and P/N substitution FY2012 bond supply plan changed slightly : more long-term bonds, lower 3-year bonds We continue to see a flat yield curve going forward but the uncertainties in global financial markets could lead to lower appetite for duration in emerging market bonds: stay short duration Market update – September and October interest rate movements During the past 3 weeks or so, the situation in Europe with regards to Greece’s debt crisis had worsened drastically, driving local bond yields and the IRS rates into different directions. The government yield curve shifted upwards as a result of foreign investors’ sell-off in emerging market assets while the IRS rates fell, following the short-dated THBFIX rates on the back of USD liquidity concern in the global markets. During the first week of October, such trends started to revert: bond yields started to fall slightly while IRS rates saw less downward pressure from the declines in swap points. Fig 1. Government bond yield curve rebounded Fig 2. Movements of IRS rates % Government bond yield curve % 4.00 3.83 5.0 3.81 3.82 3.77 3.80 3.69 4.5 3.63 3.61 3.62 3.56 3.58 3.67 3.69 3.64 3.64 4.0 3.60 3.55 3.55 3.53 3.53 3.53 3.48 3.5 3.40 3.45 3.0 3.38 3.41 3.41 3.4 3.36 3.33 3.35 3.20 3.32 3.31 2.5 3.00 2.0 1y 2y 3y 4y 5y 6y 7y 8y 9y 10y Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 07-Oct-11 22-Aug-11 26-Sep-11 TTM IRS 2Y IRS 5Y IRS 10Y repo Source: Bloomberg, KBank Source: Bloomberg, KBank 2020 20
  • 21. In any case, we expect that the short-term swap rates would remain capped at low levels (way below policy rate) for up to the end of December, given the market’s expectation that the Bank of Thailand (BoT) would not increase the policy rate further and the ongoing concerns about USD liquidity amid the tightness of USD funding conditions in Europe. Hence, we iterated our view last month that it is still a good time for the corporate sector to hedge borrowing costs but there is no hurry in doing so. Fig 3. 6m swap points and 6m THBFIX rate Fig 4. Bond-swap spreads picked up slightly satangs % bps 50 3.75 80 60 45 3.50 40 40 3.25 20 35 3.00 0 -20 30 2.75 -40 25 2.50 -60 20 2.25 -80 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 USD/THB 6m forward point 6M THBFIX 2Y bond-swap spread 5Y bond-swap spread 10Y bond-swap spread Source: Bloomberg, KBank Source: Bloomberg, KBank Foreign investors had turned net-sellers of local THB fixed income securities for the first time in more than a year during September. During the same month, foreigners also pulled out of the local stock market (net-sell USD 541.5mn) and the USD/THB turned 4.01% weaker in the month of September before rebounding by nearly 1.0% in October. Expectations that the Thai baht would not perform in the near-term also reduce foreigners’ reinvestment into short-dated debt. As a result, foreign investors’ net holding of THB fixed income securities fell from THB 438.6bn at end August to THB 434.2bn at end September and further to THB 425.6bn as of October 7th. Furthermore, we note as well that foreigners’ holding of THB bonds had climbed by THB 300bn in a short 12 month period from THB 150bn back in September 2010. This reflects substantial risk of sudden capital outflow should foreign funds liquidate THB bonds in the face of another outbreak of global financial crisis. If that worst case scenario does not happen, we expect that emerging market bonds would continued to see positive demand, given their rising significance in the global markets and the stronger fiscal positions of emerging market economies. Fig 5. Foreign holding position declined Fig 6. Foreign outright trade (net-purchase, monthly) Bt bn THB bn 500 180 163 450 160 400 140 127 128 350 120 300 100 84 73 71 79 up till 250 80 200 45 Oct 7th 60 40 150 28 40 16 19 100 50 20 3.7 - 0 -20 -1.5 Jan-10 Mar-10 May-10 Jul-10 Sep-10 Nov-10 Jan-11 Mar-11 May-11 Jul-11 Sep-11 Sep Nov Jan Mar May Jul Sep foreign holding in Thai fixed income, THB bn foreign net-buy in THB bonds (billion baht) Source: PDMO, KBank Source: PDMO, KBank 2121 21
  • 22. During the sell-off, we did notice two factors. First of all, the yield curve had not steepened very much, which could be implying that demand for the long-term bonds remained and could be similar to the mid-curve bonds. In fact the flattening of the yield curve at the end of August, with 2-10 spread at 1bp, had been too abrupt and somewhat an overreaction of the market to the flattening of the U.S. yield curve. The sell-off in September thus helped to correct this spread back to around 20bp before declining towards 9bp on October 7th. This is in line with our expectation that insurance companies and pension funds continued to have high demand of bonds going forward. At the same time, the government’s bond supply plan does not overweight long-term bonds, as the PDMO is careful to push up long-term borrowing costs. Secondly, Fig 8. shows that local asset management companies continued to buy into the bond market, with the outright net-purchase position increasing for second straight month in September. Fig 7. Foreigners continued to trade in securities with Fig 8. Asset management (net-purchase, monthly) maturities <1Yr Composition of bond traded by Non-resident THB bn % 100 600 80 500 400 60 300 up till 40 200 Oct 7th 20 100 0 0 Jul- Aug Sep Oct Nov Dec Jan- Feb Mar Apr May Jun Jul Aug Sep Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct 10 11 0-1 Y 1-3 Y 3-5 Y 5-10 Y > 10 Y Mutual fund net-buy in THB bonds (billion baht) Source: PDMO, KBank Source: PDMO, KBank BoT’s to pause in the face of worsening global conditions We have revised down our target for the policy rate this year to 3.50%, from earlier expectation of two more rate hikes that could bring the policy rate to 4.00% at year-end. For the year 2012, we think that that BoT will continue to stay pat, given that inflationary pressure would be reduced by the decelerating growth momentum. As for the MLR (minimum lending rate), we do expect it to stay at current level of 7.25% (average of 4 large banks) following the pausing of the policy rate. At the same time, we do expect that the fixed deposit rates would likely pause as well, or edge up very slightly due to banks’ competition to amass deposits. As a result, we expect that the real policy rate and real 1-year deposit rate would remain in the negative zone for the next two quarters, with the assumption that headline consumer price index climbs by an average of 0.23% each month the next three quarters (average monthly change since 2011). Such a condition means that monetary conditions remained somewhat accommodative to growth should the Thai economy decelerate in accordance to the slowdown in the advanced economies. 2222 22