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.Mean S Multi Asset Strategies
 KBank                                                                                           Strategies
                                                                                                 Macro / Multi Asset
 USD/Asia: cyclically constructive, structurally destructive                                     February 2011
                                                                                                 Volume 45

      As we are in the year of the Rabbit, the markets will tend to be
      jumpy…with events in Tunisia and Egypt along with fear that
                                                                                                 Kobsidthi Silpachai, CFA –Kasikornbank
      Asia is behind the curve on fighting inflation is again highlighting                       kobsidthi.s@kasikornbank.com
      USD perceived safe haven stature and risk in EM assets
                                                                                                 Susheel Narula – KSecurities
      Our main theme for USD/THB downside remains unchanged…but                                  susheel.n@kasikornsecurities.com
      our 4Q11 USD/THB target is scaled back to 29.00 from 28.00                                 Kavee Chukitkasem – KSecurities
                                                                                                 kavee.c@kasikornsecurities.com
      Indications from the central bank along with its perceived
      preference for a less stronger baht coupled with rising                                    KResearch
                                                                                                 kr.bd@kasikornresearch.com
      commodity prices prompts us to revise up our 4Q11 BOT repo
      target to 3.25% from 2.75%
      Our full-year 2011 GDP forecast remains unchanged at 4.5% YoY
                                                                                                   Disclaimer: This report
      but some components have been revised to better accommodate                                  must be read with the
      higher oil price risks                                                                       Disclaimer on page 47
      The divergence of economic cycles between EM and Developed                                   that forms part of it

      economies calls for a sector re-allocation towards ‘Services’ and
      ‘Commodities’


 Strategic Thesis                                                                                  “KBank Multi Asset
 It looks like the US dollar can do no wrong…that seems to be what the market is                   Strategies”
 thinking for the time being. But markets have rather short memories and gives more                can now be accessed on
 weight to cyclical / shorter horizon factors. US data points continue to show recovery in         Bloomberg: KBCM <GO>
 the business sector. The labor market seems mixed but attention is being paid to the
 falling unemployment rate. Structurally, the verdict might not be utterly convincing since
 more people are leaving the labor force than more people getting jobs. Another
 structural impediment is with the spiraling debt levels in the US federal government
 which is seen to reach 140% in the not too distant future since Uncle Sam is spending
 money it does not have…not to mention the 50 states. The events in Tunisia and Egypt
 have turned on the risk switch of EM assets, that is political risk and inflation risks and
 hence favoring the US dollar. Inflation can be thought as the depreciation rate of money
 or the rate at which all people become poor. So countries that look to be “behind the
 curve” will be shunned by investors. China’s move on interest rate again is an admission
 that controlling money supply alone is not as effective as is hoped. Sooner or later, it will
 have to look to letting the yuan flow its fundamental course , that is to strengthen. Until
 then, USD/Asia will remain volatile as seen by the jump in USD/THB vols. But the
 textbook response is on the wall: higher inflation, higher interest rates. Hence, we can
 still see the Thai yield curve bias towards a bear flattener. On equities, the continued
 rally we called last month did not happen and the market fell to 950, also below what we
 predicted to be the support level at 980. The market psychology has changed and we
 now no longer expect a sharp directional trade. The SET is shifting pace and will
 become sideways. We recommend a sector re-allocation towards ‘Services’ and
 ‘Commodities’. We are Overweight on energy, agricultural, media, hotel, hospital,
 commerce, contractor and industrial estate.




11

1                                                                                       WWW.KASIKORNBANKGROUP.COM
Key Parameters & Forecasts at Year-end
                                                           2003                  2004              2005                2006                2007                 2008                2009                 2010E                            2011E
 GDP, % YoY                                                       7.1                6.3                4.6                     5.2                  4.9                2.5                -2.3                       7.6                           4.5
 Consumption, % YoY                                               6.5                6.2                    4.6                 3.0                  1.6                2.7                -1.1                       4.0                           3.7
 Investment Spending, % YoY                                     12.1               13.2               10.5                      3.9                  1.3                1.2                -9.2                       9.5                           8.8
 Govt Budget / GDP %                                             -0.2               -0.2                    0.3                 -0.7                -1.5               -1.0                -5.6                       -3.2                          -3.8
 Export, % YoY                                                  18.2               21.6               15.2                  17.0                    17.3               15.9               -14.0                   27.0                          10.0
 Import, % YoY                                                  17.4               25.7               25.8                      7.9                  9.1               26.5               -25.2                   35.0                          15.0
 Current Account (USD bn)                                       4.78               2.77                -7.6                     2.3                 14.1                1.6                21.9                   14.2                              7.5
 CPI % YoY, average                                               1.8                2.8                    4.5                 4.6                  2.3                5.5                -0.9                       3.3                           3.3
 USD/THB                                                        39.6               38.9               41.0                  36.1                    33.7               34.8                33.3                   31.4                          29.0
 Fed Funds, % year-end                                          1.00               2.25               4.25                  5.25                    4.25               0.25                0.25                   0.25                          0.25
 BOT repo, % year-end                                           1.25               2.00               4.00                  5.00                    3.25               2.75                1.25                   2.00                          3.25
 Bond Yields
   2yr, % year-end                                              1.73               2.78               4.94                  5.02                    3.91               1.98                2.17                   2.35                          3.75
     5yr, % year-end                                              2.8                4.0                    5.3                 5.1                  4.5                2.2                 3.6                   2.75                          4.00
     10yr, % year-end                                             4.9                4.9                    5.5                 5.4                  4.9                2.7                 4.3                   3.25                          4.25
 USD/JPY                                                       107.5             102.5              118.0                119.1                111.8                    90.7                93.0                   82.0                          89.0
 EUR/USD                                                        1.26               1.36               1.18                  1.32                    1.46               1.40                1.43                   1.40                          1.30
 SET Index                                                     772.2             668.1              713.7                679.8                858.1                450.0                  734.5                  1040                          1220


 Source: Bloomberg, CEIC, KBank, KResearch, KSecurities


KBank Thai Government Bond Rich / Cheap model


        30.00


        20.00


        10.00


          0.00


       -10.00


       -20.00
                                                                                                                                                                                                                                 3 mth avg
                                                                                                                                                                                                                                 Now
       -30.00
                                                                                                                                                                                                                                 LB296A
                  LB113A

                           LB116A
                                    LB11NA

                                             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
                                                                                                                                                               KBank USD/THB model
    Jan 1995 = 100               KBank THB Trade Weighted Index                                                              48
    110                                                                                                                      46
                                                                                                                             44
                                                                                                                             42
    100                                                                                                                      40
                                                   + 1 std
                                                                                                                             38
                                                     d
                                                                                                                             36
     90                                                                                                                      34
                                                   average
                                                                                                                             32
     80                                                                                                                      30
                                                                            -1 std dev
                                                                                                                             28
                                                                                                                                     01    02    03   04       05        06        07       08        09         10         11     12
     70
          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 = -7.6277Ln(x) + 69.875
  44                                               2                                                                        45
  42                                             R = 0.872
  40                                                                                                                        40
  38
  36                                                                                                                        35                                                                              y = 27.699Ln(x) - 86.289
  34                                                                                                                                                                                                                   2
                                                                                                                                                                                                                      R = 0.756
  32                                                                                                                        30
  30
  28                                                                                                                        25
  26
                                                                                                                                  70            80             90                 100                 110                   120          130
      25             50         75         100              125          150             175          200           225
                                                                                                                                                                                                                                        DXY
                                                                                               FX reserves, USD bn                                    DXY to USD/THB mapping                           current
    FX reserves to USD/THB mapping         current          2011 forecast

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
    4.0                                                                                                                     7
    3.5                                                                                                                     6
    3.0                                                                                                                     5
    2.5
                                                                                                                            4
    2.0
    1.5                                                                                                                     3
    1.0                                                                                                                     2
    0.5                                                                                                                     1
    0.0
                                                                                                                            0
          01   02         03    04    05          06         07        08        09        10        11        12
                                                                                                                                00        01    02    03        04        05           06        07         08         09         10    11

                                                actual                 model                                                                               10yr yields            SET forward dividend yields

Source: Bloomberg, KBank                                                                                                  Source: Bloomberg, KBank




33

3
Thai inflation parameters                                                                                                   Thai contribution to GDP growth
                                                                                                                             % y oy                                                        Contribution to growth
 25%
                                                                                                                               15.0
 20%
                                                                                                                               10.0
 15%
                                                                                                                                   5.0
 10%
    5%                                                                                                                             0.0

    0%                                                                                                                         -5.0
  -5%                                                                                                                         -10.0
 -10%                                                                                                                         -15.0
 -15%                                                                                                                                        1Q08            2Q08    3Q08           4Q08    1Q09         2Q09         3Q09    4Q09      1Q10      2Q10         3Q10
           01        02      03         04           05        06          07     08            09           10        11
                                                                                                                                                      Priv ate consumption                       Gov ernment consumption                Gross fix ed capital
                                         CPI                        Core CPI                    PPI                                                   Change in inv entories                     Net ex ports                           GDP

Source: CEIC, KBank                                                                                                         Source: NESDB, KBank




Implied forward curve: swaps                                                                                                Implied forward curve: TGBs
     %
                                             Implied forward rate shifts (IRS)                                                  %                                                    Implied bond yield curve shifts
    5.00                                                                                                                       4.50
    4.50
    4.00                                                                                                                       4.00
    3.50
                                                                                                                               3.50
    3.00
    2.50                                                                                                                       3.00
    2.00
    1.50                                                                                                                       2.50
    1.00
                                                                                                                               2.00
    0.50
                                                                                                                                         -        1      2     3    4     5     6      7     8      9        10 11 12 13 14 15 16 17 18 19 20
            0         1        2         3         4            5         6           7           8         9        10
                           Feb-11               May-11                 Aug-11                  Jan-12    tenor (yrs)                                      Feb-11                May-11                       Aug-11               Feb-12                 tenor (yrs)

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
    4.0                                                                                                                        5
    3.0                                                                                                                        4
    2.0                                                                                                                        3
    1.0                                                                                                                        2
    0.0                                                                                                                        1
          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
    750
                                                                                      35.0
    700
                                                                                      33.0
    650
    600                                                                               31.0
    550                                                                               29.0
    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
The shortest distance between two points is a straight
 line

                                                                                                   Kobsidthi Silpachai, CFA - Kasikornbank
         …or so they say. Low USD liquidity is a cue for the rise in USD/THB                       kobsidthi.s@kasikornbank.com
         volatility
                                                                                                   Warunee Sithithaworn – Kasikornbank
         As we are in the year of the Rabbit, the markets will tend to be                          warunee.si@kasikornbank.com
         jumpy…with events in Tunisia and Egypt again highlighting USD                             Nalin Chutchotitham – Kasikornbank
         perceived safe haven stature and risk in EM assets                                        nalin.c@kasikornbank.com

         Resumption of political activities following end of emergency
         decree is giving a good excuse for foreign investors to take some
         money off the table
         …and reintroduces more uncertainty in the USD/THB picture
         Our main theme for USD/THB downside remains unchanged…but
         our 4Q11 USD/THB target is scaled back to 29.00 from 28.00
         Indications from the central bank along with its perceived
         preference for a less stronger baht coupled with rising commodity
         prices prompts us to revise up our 4Q11 BOT repo target to 3.25%
         from 2.75%
Yesterday’s darling might be today’s out of favor child
2010 was a great year for the Thai baht gaining about 11.07% against the USD. The
currency was ranked fourth after JPY, AUD and MYR. That is looking into the rear view
mirror. Looking in front passed the windshield with the year of the Rabbit in full swing, the
USD/THB has proved so far to be as jumpy as the rodent. The Thai stock market, SET,
gained about 48% in 2010 is prompting investors to take some money off the table.
Hence, looking at the following statistics, foreign investors have sold about USD 1053
mn, YTD, the most in the region after India.

Table 1. Foreign Institutional Investment in Regional Equities

                      Day       WTD Net      MTD Net       YTD Net       YTD Net        As of
                    (Mil US$)   (Mil US$)    (Mil US$)     (Mil US$)      YoY%
 India               -117.1      -117.0        -25.8       -1,413.0       -88.6       08/02/2011
 Indonesia            -49.7       -34.2        -3.7         -290.9         -6.2       09/02/2011
 Japan              2,418.9     2,418.9      2,418.9       10,418.7       -44.8       04/02/2011
 Philippines          -16.5       -15.6        -55.5        -149.2        -315.9      10/02/2011
 S.Korea             -451.6      -487.1       -603.9         -20.8        -108.4      09/02/2011
 Taiwan              -191.2      -117.7       -117.7       3,321.0        233.5       09/02/2011
 Thailand             -49.7      -191.4       -121.1       -1,053.8       -267.5      09/02/2011
 Vietnam               2.5         5.9          5.9          64.0         13.7        09/02/2011
 Pakistan              0.7         0.8          5.8          68.9         332.9       09/02/2011
Source: Bloomberg




77

7
It is not rocket science that resumption of rainbow political activities, post the end of the
emergency decree is giving a good excuse to take profits from Thailand and rotate it
elsewhere in the region. The political implosions in the likes of Tunisia and Egypt will
bring back memories of the recent past of the Bangkok events in the middle of last year
and hence, a growing distaste for Thai financial assets. The risk premium is a tad higher,
suggesting that the financial markets are expressing a sense of unease. Amidst growing
risk averse coupled with a tight USD liquidity environment, the upward move in the
USD/THB was accentuated further.

Fig 1. Thai 5yr credit default swap…a gauge of risk
                                                                                                     Fig 2. USD/THB: 30, 60, 200 day moving averages
premium
    bps over Libor                              Thai CDS 5Y                                              38
     190                                                                                                 37
                                                                                                         36
     170                                                                                                 35
                                                                                                         34
     150
                                                                                                         33
                                                                                                         32
     130
                                                                                                         31
     110                                                                                                 30
                                                                                                         29
      90                                                                                                 28
                                                                                                          Jan-07       Jul-07     Jan-08      Jul-08     Jan-09   Jul-09       Jan-10     Jul-10      Jan-11
      70
       Jul-09 Sep-09 Nov-09 Jan-10 Mar-10 May-10 Jul-10 Sep-10 Nov-10 Jan-11                                                 USD/THB            30 day avg        60 day avg            200 day avg

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




Unfolding events prompt a rethink
There is a saying that “the shortest distance between two points is a straight line”. The
reintroduction of the Thai risk premium in light of the idiosyncratic political characteristic
complicates our call for a USD/THB target of 28.00 by 4Q11.

We have taken notice that the central bank’s stance on FX intervention as toughened
since mid November. Fig 3 shows that foreign portfolio flows have been instrumental
accentuating the moves in USD/THB. The data points include USD/THB versus the sum
of foreign flows on Thai equities and fixed income securities with the latter being larger.
Based on statistics, correlation between USD/THB and foreign investment flows up to
mid November were highly correlated up to 97%.

Fig 3. Relationship between USD/THB & foreign                                                        Fig 4. Relationship between USD/THB & foreign
portfolio flows (equity & fixed income) Jan to Nov 2010                                              portfolio flows (equity & fixed income) Jan 2010 to now

     250                                                                                      29.0       400                                                                                              27
                                                                                              29.5       350
     200                                                                                                                                                                                                  28
                                                                                                         300          FX intervention was stepped
                correlation was nearly 98% between                                            30.0
                                                                                                         250          up causing a break in pattern                                                       29
     150          Jan 2010 to mid Novebmer 2010                                               30.5
                                                                                              31.0       200                                                                                              30
     100                                                                                                 150
                                                                                              31.5                                                                                                        31
      50                                                                                      32.0       100
                                                                                                          50                                                                                              32
                                                                                              32.5
        0                                                                                                  0
                                                                                              33.0                                                                                                        33
          1-      2-      3-       4-        5-       6-     7-       8-       9-      10-               -50 1-   2- 3-     4-   5-   6-   7-   8-   9- 10- 11- 12- 1-
      -502010    2010    2010     2010      2010     2010   2010     2010     2010    2010    33.5
                                                                                                            2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2011

             sum of foreign equity / fixed income flows       USD/THB, right axis, inverted                        sum of foreign equity / fixed income flows     USD/THB, right axis, inverted

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




88

8
The breakdown in the relation became more obvious post mid November. Table 2 shows
     our estimate that in December 2010 the Bank of Thailand most likely bought an additional
     USD1.9 bn in excess of the balance of payments to steer the USD/THB in a new
     direction. This could be a game of “chicken”. The name might sound childish but it
     actually is an important concept in economics…primarily game theory.

Table 2. Thai balance of payments, FX reserves and estimated FX intervention levels

     USD mn            Jan-10         Feb-10      Mar-10      Apr-10     May-10       Jun-10      Jul-10     Aug-10       Sep-10      Oct-10      Nov-10      Dec-10
 Exports fob           13,610.4       14,254.7    16,083.8    13,831.7    16,434.7    17,876.5    15,475.1    16,291.6    17,954.9    17,045.5    17,584.0    17,220.0
 Imports cif          -13,041.9      -13,801.8   -15,082.1   -14,032.5   -14,143.7   -15,334.2   -16,266.3   -15,439.8   -14,712.2   -14,772.9   -17,093.8   -15,911.0
 Trade Balance              568.5       452.9      1,001.7      -200.8     2,291.0     2,542.4      -791.3      851.7      3,242.7     2,272.7      490.2      1,310.0
 Current Account
 Balance                   2,107.6     1,655.9     1,779.9      -299.2     1,164.0      820.9     -1,000.8      280.5      2,767.0     2,739.6     1,019.0     1,750.0
 Capital and
 Financial Account
 Balance                   2,743.4      -698.6     1,732.6     2,964.5    -2,607.8      741.2      2,979.8     3,205.9     1,125.8     2,404.6
 Overall Balance
 of Payments               4,965.5      119.3      3,137.3     3,749.0      -989.3     2,166.4     1,412.2     3,589.4     4,269.8     5,821.7      820.3      2,263.0


 FX Reserves          142,403.5      141,797.5   144,094.1   147,588.1   143,518.6   146,759.2   151,524.7   155,186.8   163,235.3   171,061.6   167,973.9   172,128.9
 Change in FX
 Reserves                  3,985.9      -606.0     2,296.6     3,494.0    -4,069.5     3,240.6     4,765.5     3,662.1     8,048.5     7,826.3    -3,087.7     4,155.0
 Estimated
 intervention               -979.6      -725.3      -840.7      -254.9    -3,080.2     1,074.2     3,353.3        72.7     3,778.7     2,004.6    -3,908.0     1,892.0
Source: CEIC, BOT, KBank




     The popular source of cyber knowledge, “Wikipedia” defines and discusses “chicken” as
     follows:

                 The game of Chicken, also known as the Hawk-Dove or Snowdrift game, is an
                 influential model of conflict for two players in game theory. The principle of the
                 game is that while each player prefers not to yield to the other, the worst possible
                 outcome occurs when both players do not yield.

                 The name "Chicken" has its origins in a game in which two drivers drive towards
                 each other on a collision course: one must swerve, or both may die in the crash,
                 but if one driver swerves and the other does not, the one who swerved will be
                 called a "chicken," meaning a coward; this terminology is most prevalent in
                 political science and economics. The name "Hawk-Dove" refers to a situation in
                 which there is a competition for a shared resource and the contestants can
                 choose either conciliation or conflict; this terminology is most commonly used in
                 biology and evolutionary game theory. From a game-theoretic point of view,
                 "Chicken" and "Hawk-Dove" are identical; the different names stem from parallel
                 development of the basic principles in different research areas. The game has
                 also been used to describe the mutual assured destruction of nuclear warfare,
                 especially the sort of brinkmanship involved in the Cuban Missile Crisis.

                 The game is similar to the prisoner's dilemma game in that an "agreeable" mutual
                 solution is unstable since both players are individually tempted to stray from it.
                 However, it differs in the cost of responding to such a deviation. This means that,
                 even in an iterated version of the game, retaliation is ineffective, and a mixed
                 strategy may be more appropriate.




     99

     9
In 1997, the Bank of Thailand and hedge funds had locked horns in a game of “chicken”,
with the hedge funds shorting the baht while the Bank of Thailand bought baht to defend
the peg. As bystanders became more biased towards the hedge funds, the defense
crumbled since the peg was built on a house of cards with the odds stacked against the
Thai central bank such as the long list of imbalances:

        persistent current account deficits,
        rising financial leverage,
        land / real estate speculation,
        mounting short term foreign currency debt facilitated by the Bangkok
        International Banking Facilities (BIBF),
        Thai firms conducting interest rate arbitrage by issuing euro convertible
        debentures (ECDs) encouraged by the fallacy of no FX exchange risks

For the present situation, it looks like luck has sided with the central bank as the foreign
flows are swerving into outflows. By stepping up the FX intervention, foreign investors
were discouraged from aggressively putting more money into the Thai markets since
losses on FX will reduce their returns on the financial assets i.e. local currency capital
gains and interest rate differentials.

We agree that FX intervention and sterilization should be conducted on foreign portfolio
flows since by not doing so, Thai juristic and natural persons would become
unconsciously indebted to foreign funds, since we do not have the funds’ ownership.
Conversely, the point that we have consistently stressed is that flows belonging to Thai
juristic and natural persons i.e. current account flows should not be intervened for the
following reasons:

        It represents a cross subsidy between the external side and internal side of the
        economy i.e. exporters gain at the expense of the general population
        …correspondingly, it facilitates wealth concentration. Said another way: “Spread
        the pain and concentrate the gains”
        Supports moral hazard as Thai exporters would be discouraged from improving
        on productivity and quality for gaining a competitive advantage and continue to
        look to the Bank of Thailand to be competitive based on the price function alone.




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We are scaling back our USD/THB targets: 30.00 for 2Q11 and 29.00
for 4Q11
The new stance expressed by the Bank of Thailand on FX management reflects a more
hands on style, being more aggressive in limiting the USD/THB downside and more
lenient on the capping the USD/THB upside. This is a significant change from what we
saw for the earlier part of 2010. With consideration to these points, we are scaling back
our targets for USD/THB and revising them to:
              30.00 for 2Q11
              29.00 for 4Q11

Fig 5. KBank USD/THB model                                                        Fig 6. USD/THB Fibonacci levels
                                 KBank USD/THB model
    48                                                                                34
    46
                                                                                      33
    44
    42                                                                                32
    40                                                                                31
    38
    36                                                                                30
    34                                                                                29
    32
    30                                                                                28
    28                                                                                 Jan-10    Mar-10     May-10         Jul-10         Sep-10    Nov-10   Jan-11
         01   02   03   04       05    06        07   08      09   10   11   12
                                                                                                  USD/THB          Min              Max            23.6%
                                            actual         model                                  38.2%            50.0%            61.8%          76.4%

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


We have not changed our major thesis for the USD/THB. The risk of the USD has been
temporarily dismissed from the markets for the time being. Japan’s sovereign downgrade
from AA to AA- by Standard & Poor’s is an attestation that countries can not go on
forever without fiscal discipline. Greece is a reminder and so as with the rest of the PIIGS
in the Eurozone.

The Greenback, cyclically constructive…structually destructive
The cyclical data points for the US economy seem constructive. The ISM index (the
Institute for Supply Management,
http://en.wikipedia.org/wiki/Institute_for_Supply_Management ), suggests that both the
manufacturing and services continue to expand. A print north of 50 pts indicates that the
business sectors anticipate expansions whilst a print south of 50 pts indicates
expectations of contractions. Another litmus paper indicator is shown on fig 8. This is a
calculation of the top and bottom line of companies listed on the broader S & P 500. The
chart shows that both that current revenue and net income levels are about 96% of peak
levels leading up to the financial crisis.




1111

11
Fig 7. ISM service and manufacturing                                                                                       Fig 8. S&P 500, revenues & net income

    70.0                                                                                                                       10,000                                                                                900
    65.0
                                                                                                                                9,000                                                                                800
    60.0
                                                                                                                                8,000                                                                                700
    55.0
    50.0                                                                                                                        7,000                                                                                600
    45.0
                                                                                                                                6,000                                                                                500
    40.0
                                                                                                                                5,000                                                                                400
    35.0
    30.0                                                                                                                        4,000                                                                                300
           97       98        99        00        01    02   03      04     05     06    07      08        09        10                 00   01     02     03     04      05      06      07      08       09   10

                              ISM Non-Manufacturing (service)                 ISM Manufacturing                                         revenue, USD bn (mkt cap / PSR)         net income, USD bn (mkt cap / PER)

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


The previous should provide encouragement that the “I” part of “Y” of GDP (economists
would denote Y = C + I + G +(X-M)), is looking better and better. The other and more
important facet of final demand is consumption, which no doubt is hinged on prospect of
current income, namely wages. January’s employment data points were rather
confusing…should be call it heads or tails? Heads was the lower unemployment rate
moving from 9.40% to 9.0%. Tails was the lower than expected absolute levels of job
creation, namely “non-farm payrolls”, where the shoal of economists was looking for 146k
but the reality was only 36k. The optimists blamed the lower reading on snow storms and
weather related challenges rather than on the reluctance of US companies to add human
resource costs. Fig 10 shows a worrying structural trend which is a continually declining
labor participation rate. This is the ratio between the size of the labor force (people
working and are looking for work) divided by the size of the total population. The decline
can be due to a couple of reasons we can think of:
         Americans are discouraged from looking for work since it during the past two
         years it has proven futile.
         The demographic shifts towards an aging population as the baby boomers
         (Americans born post WWII) entire retirement.

Fig 9. Number of Americans out of work, unemployment
                                                                                                                           Fig 10. US labor participation rate declines
rate
                                                                                                                               68
    16000                                                                                                            11%
                                                                                                                               67
    14000                                                                                                            10%
                                                                                                                               66
    12000                                                                                                            9%        65
                                                                                                                     8%        64
    10000
                                                                                                                     7%        63
     8000
                                                                                                                     6%        62
     6000
                                                                                                                     5%        61
     4000                                                                                                            4%        60
     2000                                                                                                            3%        59
           0                                                                                                         2%        58
               00        01        02        03        04    05      06      07     08      09        10        11                  70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10

                                   unemployed, k, left            unemployment rate, % , right                                                              participation rate, % of total US population

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


Our concern here is that retirees are not active consumers which do not bode well for the
Asian export market from a structural basis. Reconsidering these facts, the US is looking
more and more like Japan. The other similarity is the “G” part of GDP. According to the
Congressional Budget Office (CBO), the US Federal (excluding state) governments will
rack up a USD 1.4 trillion budget deficit or about 9.8% of GDP. The aging population is




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definitely a factor and hence the need for healthcare reforms. But after 2011, the US
federal government is still expected to spend money it doesn’t have i.e. more fiscal
deficits which means that the mountain of debt will continue to climb… as long as Asian
central banks remain naïve to lend on the premise that such debt will not be monetized.
Sure, the US federal government will not default…when the debts become matured…
Asian central banks will trade in one piece of paper for another piece of paper. Note that
the US federal debt to GDP will exceed those severe levels during WWII.

Fig 11. US federal budget deficit to GDP                                                                                                      Fig 12. US federal debt to GDP

      4                                                                                                                                           160
      2                                                                                                                                           140
      0                                                                                                                                           120
     -2                                                                                                                                           100
     -4                                                                                                                                            80
     -6                                                                                                                                            60
     -8                                                                                                                                            40
    -10                                                                                                                                            20
    -12                                                                                                                                             0
                                                                                                                                                        40 44 48 52 56 60 64 68 72 76 80 84 88 92 96 00 04 08 12 16 20
          1969
                 1972
                        1975
                               1978
                                      1981
                                             1984
                                                    1987
                                                           1990
                                                                  1993
                                                                         1996
                                                                                1999
                                                                                       2002
                                                                                              2005
                                                                                                     2008
                                                                                                            2011
                                                                                                                   2014
                                                                                                                          2017
                                                                                                                                 2020




                                 US budget surplus / deficit as % GDP                    projected                                                      US Federal Debt to GDP, %   calculated, with Congressional Budget Office estimates

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




Beside the US Federal Government, the growing concern with the US (the United States)
is with the state and local governments’ ability to keep themselves afloat amidst mounting
debt. The following function in Bloomberg (MIFA <GO>) shows that the likes of California,
Texas, New York are experiencing ever larger deficits. This means the Fed is unlikely to
shift its ultra accommodative monetary policy anytime soon (please see the annex to the
FOMC’s recent statement). More US dollars can eventually only mean lower prices.

Table 3. The arguments for and against USD/THB directions
                                      USD/THB positives                                                                                           USD/THB negatives

          Resumption / escalation of political unrest, which                                                                        Current account surpluses of Thailand, meaning,
          prompts a more extended outflows of foreign portfolio                                                                     exporters outnumber importers. This is a result of
          flows out of Thailand                                                                                                     irregularities in the Thai political and social landscape
          Increasing probability that the Eurozone breaks up,                                                                       which thwarts domestic demand
          hence reallocation of foreign currency reserves back                                                                      Expectation of further USD/CNY downside as to
          to the USD                                                                                                                supplement the fight against inflation
          Service account outflows from SET dividend                                                                                Continued Fed accommodative monetary policy,
          repayments / Japan fiscal year closing                                                                                    meaning more USD, lower USD price
          Increasing perceived political risk of emerging markets                                                                   Better economic growth prospects in Asia relative to
          as seen in Tunisia, Egypt and the spreading to other                                                                      the West
          parts of the Middle East and possibly Asia                                                                                Political clarity on Constitutional amendments and
          Concerns that Asian central banks are behind the                                                                          general elections
          curve in controlling inflation. Inflation is the                                                                          Return of Thai portfolio flows e.g. from Korean bonds
          depreciation rate of money.


Source: KBank




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Fig 13. The USA or USB, the United States of Bankruptcy




Source: Bloomberg, KBank




           Federal Open Market Committee (FOMC) Statement January 26, 2011
           Information received since the Federal Open Market Committee met in
           December confirms that the economic recovery is continuing, though at a rate
           that has been insufficient to bring about a significant improvement in labor market
           conditions. Growth in household spending picked up late last year, but remains
           constrained by high unemployment, modest income growth, lower housing
           wealth, and tight credit. Business spending on equipment and software is rising,
           while investment in nonresidential structures is still weak. Employers remain
           reluctant to add to payrolls. The housing sector continues to be depressed.
           Although commodity prices have risen, longer term inflation expectations have
           remained stable, and measures of underlying inflation have been trending
           downward. Consistent with its statutory mandate, the Committee seeks to foster
           maximum employment and price stability. Currently, the unemployment rate is
           elevated, and measures of underlying inflation are somewhat low, relative to
           levels that the Committee judges to be consistent, over the longer run, with its
           dual mandate. Although the Committee anticipates a gradual return to higher
           levels of resource utilization in a context of price stability, progress toward its
           objectives has been disappointingly slow. To promote a stronger pace of
           economic recovery and to help ensure that inflation, over time, is at levels
           consistent with its mandate, the Committee decided today to continue expanding
           its holdings of securities as announced in November. In particular, the Committee
           is maintaining its existing policy of reinvesting principal payments from its




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securities holdings and intends to purchase $600 billion of longer-term Treasury
              securities by the end of the second quarter of 2011. The Committee will regularly
              review the pace of its securities purchases and the overall size of the asset-
              purchase program in light of incoming information and will adjust the program as
              needed to best foster maximum employment and price stability. The Committee
              will maintain the target range for the federal funds rate at 0 to 1/4 percent and
              continues to anticipate that economic conditions, including low rates of resource
              utilization, subdued inflation trends, and stable inflation expectations, are likely to
              warrant exceptionally low levels for the federal funds rate for an extended period.
              The Committee will continue to monitor the economic outlook and financial
              developments and will employ its policy tools as necessary to support the
              economic recovery and to help ensure that inflation, over time, is at levels
              consistent with its mandate. Voting for the FOMC monetary policy action were:
              Ben S. Bernanke, Chairman; William C. Dudley, Vice Chairman; Elizabeth A.
              Duke; Charles L. Evans; Richard W. Fisher; Narayana Kocherlakota; Charles I.
              Plosser; Sarah Bloom Raskin; Daniel K. Tarullo; Kevin M. Warsh; and Janet L.
              Yellen.

Playing “chicken” with inflation?
Economics is the study of opportunity costs and hence any decisions taken by economic
agents will incur a trade off. The inconsistency in monetary policy of pricing baht with
respect to other currencies (FX exchange rates) and with respect to time (interest rates)
might be causing more problems than it solves. The riots in Tunisia and Egypt is said to
be partly attributable to rising inflation. In layman’s term, inflation simply means that one
is getting poorer as to oppose to gaining prosperity.

The rise of China in the global economy is proving to more like a double edge sword. On
the positive side, it is serving as a large production base as well as becoming a large
market for goods and services. On the other hand, it is clear that the planet is being
strained to supporting a population with over 1.36 billion with growing wealth of nearly
10% a year.

Coupled with more frequent supply shocks from nature i.e. floods, drought, diseases, it is
no wonder as to why the prices of commodities, whether it is metals, energy or
agriculture have consistently climb. Fig 16 shows that before the fall of Lehman Brothers,
there is a high correlation between China’s nominal GDP and the CRB (Commodity
Research Bureau) index of 19 commodities including agriculture, energy and metals.


Fig 14. China’s nominal GDP & CRB commodity index                                             Fig 15. Not just coincidence
                                                                                                  CRB index
    100000                                                                              500
                                                                                                  500
     90000
                                                                                        450
     80000                                                                                        450
     70000                                                                              400                      y = 0.0044x + 121.16
                                                                                                  400
     60000                                                                              350                             2
                                                                                                                       R = 0.8826
     50000                                                                                        350
     40000                                                                              300
     30000                                                                                        300
                                                                                        250
     20000                                                                                        250                                           from Dec 99 to Jun 08
                                                                                        200
     10000
         0                                                                              150       200
             99    00     01     02    03     04     05    06   07    08     09    10             150
                                                                                                    10000      20000        30000       40000    50000         60000        70000
                  CH nominal GDP 4Q moving sum, CNY bn, left    CRB index, right                                                                            CH nominal GDP, CNY bn

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




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15
Fig 16. …neither is this: China’s nominal GDP & Thai
                                                                                                           Fig 17. …as well as explaining a lot
CPI
                                                                                                               TH CPI index
    100000                                                                                     115
                                                                                                               115
     90000
                                                                                               110
     80000                                                                                                     110            y = 0.0004x + 77.118
     70000                                                                                     105                                  2
                                                                                                                                   R = 0.9389
                                                                                                               105
     60000                                                                                     100
     50000                                                                                                     100
     40000                                                                                     95
     30000                                                                                                      95
                                                                                               90
     20000                                                                                                      90
                                                                                               85
     10000
         0                                                                                     80               85
             00      01    02     03     04    05     06       07    08     09     10                           80
                                                                                                                 10000     20000     30000      40000   50000   60000   70000   80000 90000 100000
                  CH nominal GDP 4Q moving sum, CNY bn, left        TH CPI index, right                                                                                          CH nominal GDP, CNY bn

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




The question is, how can an increase in Thai policy rates control Thai inflation if inflation
is more of a function of regional supply and demand rather than just Thai supply and
demand? After all, this is by design via all the Free Trade Agreements sign for regional
economic integration. Fig 17 shows that size of the Chinese economy has a large
influence on Thailand’s inflationary environment.

So, it seems that by playing “chicken” with portfolio flows, the central bank is also playing
“chicken” with inflation. By allowing the baht to weaken amidst rising commodity prices,
the transmission of imported inflation will be much more rapid.

The Bank of Thailand’s recent inflation report strongly indicates a fear of rising inflation
and that core inflation might get out of hand if interest rates remained low. The following
table is the probability distribution for core inflation going forward. With the assumption
that the repo remains at 2.25%, there is a 43% probability that core inflation will exceed
the 3% upper band in 3Q11 and a 55% probability for 4Q11.

Table 4. BOT Inflation Report, Core CPI probability distribution

 Ranges: %                         1Q11             2Q11            3Q11             4Q11            1Q12            2Q12               3Q12            4Q12
                     >3             0%              12%              43%                55%          11%             6%                 3%              3%
    2.5              3.0            2%              26%              31%                28%          24%             17%                11%             11%
    2.0              2.5           22%              34%              19%                13%          32%             31%                25%             26%
    1.5              2.0           51%              21%              6%                   3%         23%             29%                32%             32%
    1.0              1.5           23%              6%               1%                   0%         8%              13%                21%             20%
    0.5              1.0            2%              1%               0%                   0%         2%              3%                 7%              6%
                    <0.5            0%              0%               0%                   0%         0%              0%                 1%              1%
Source: BOT Inflation Report, Jan 2011


The major source of unease for the central bank is that economic growth has closed the
output gap. In layman’s term, fig 20 shows what an output gap is. If the actual growth is
above trend (in this figure, it is a simple best fit regression line), it suggests that the
output gap has closed, meaning that there is little slack left in the production side. This
would then indicate that the pass through of inflation (the depreciation rate of money)
would be more readily transmitted. A case in point is our current problem with palm oil. If
there is not enough slack on the supply side, there will not be enough goods to go around




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16
and prices have to rise anyways. Actually price ceilings might exacerbate the problem as
black markets form where the price sold is higher than the price ceiling.

Fig 18. Output gap has closed                                                                   Fig 19. KBank BOT repo model
    5,000,000                                                                                      %
                                                                                                   6
    4,500,000
                                                                                                    5
    4,000,000                  above potential growth
                                                                                                    4
    3,500,000                                                                                       3
                                                                          long term trend
    3,000,000                                                                                       2
                                                              below potential growth
    2,500,000                                                                                       1

    2,000,000                                                                                       0
                93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10                                   01   02   03   04    05    06      07   08      09   10   11   12

       Thai GDP, 1998 price, 4Q moving sum       Linear (Thai GDP, 1998 price, 4Q moving sum)                                     actual        model

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


We have inputted the assumptions suggested by the BOT Inflation Report which we
believe that the MPC also believes in these assumptions, after all, BOT scholarships are
not cheap and easy to come by. Fig 21 shows our repo model which is a behavioral
model. Simply it gauges how the MPC responds to key economic data points (e.g. growth
and inflation) as reflected in the repo rate. With the new assumptions, we view that the
BOT is likely to take policy rates up to 3.25% by the end of the year, as opposed to our
earlier call of 2.75%. The release of the MPC minutes (the first ever) shed a lot of light of
their concerns for growing potential financial imbalances.

            Minutes of the Monetary Policy Meeting of the Monetary Policy Committee
            Bank of Thailand
            12 January 2011
            Publication date: 26 January 2011
            Members Present Prasarn Trairatvorakul (Chairman and Governor), Atchana
            Waiquamdee (Vice Chairman and Deputy Governor, Monetary Stability),
            Suchada Kirakul (Deputy Governor, Corporate Support Services), Ampon
            Kittampon, Praipol Koomsup, Siri Ganjarerndee, Krik-krai Jirapaet

            Financial Markets
            The Thai baht was volatile, appreciating relative to the US dollar on the back of
            capital inflows while depreciating in the beginning of 2011 due to sales of equity
            by foreign investors after better-than expected US economic data. Going forward,
            investors are expected to give greater weight to recovery in major countries,
            resulting in greater two-way movement of the baht as opposed to continued
            appreciation pressure observed in the previous year. In addition, the yield curve
            shifted slightly upwards following the previous MPC meeting reflecting market
            pricing of an interest rate hike this meeting. The majority of market participants
            surveyed expected the current MPC meeting to result in a rise in the policy rate
            by 0.25 percentage points while some expected an overall rise of 0.50-1.00
            percentage points in 2011.

            International Economic Conditions
            Risks to global economic growth have fallen. The US economic recovery
            continued to strengthen. A survey of economists indicated that the majority
            viewed that the US economy would grow faster than forecasted and that
            employment would improve although risks from house prices remained.
            Nevertheless, certain MPC members expressed concerns regarding the




1717

17
continually high rate of unemployment. The European economy stabilized
       although money markets remained volatile due to concerns over sovereign debt.
       However, core member countries, especially Germany, are projected to become
       drivers of growth. The Japanese economy still faced deflation while the
       appreciating yen may impede growth going forward. The Asian economy
       continued to grow on the back of domestic demand and exports destined to both
       within the region as well as new markets with high growth potential. Overall, the
       region is becoming less reliant on the G3 economies. However, the risk to
       inflation for the region as a whole increased significantly. The uneven growth of
       advanced economies and emerging markets has led to varied monetary policy
       responses. Advanced economies pursued accommodative monetary policy to
       safeguard economic recovery while emerging markets tightened to maintain price
       stability and are expected to accelerate the pace of interest rate normalization in
       2011. As a result, challenges for Asia going forward are likely to come from
       capital flow volatility and the appropriate pacing of monetary policy tightening.

       Domestic Economic Conditions
       Thai economic growth was projected to return to its long-term trend. The Thai
       economy continued to expand in Q4 of 2010 from the previous quarter in line
       with domestic and external demand. Going forward, growth will be supported by
       1) private consumption expansion on the back of both agricultural and non-
       agricultural income, increase in the minimum wage, low unemployment and
       robust consumer confidence and 2) private investment, which despite some
       slowdown after accelerating in the prior period, should expand going forward due
       to favorable business confidence, high capacity utilization in many industries, and
       future investment plans to meet internal and external demand for goods in
       services and 3) fiscal stimulus from government income support programs for
       mostly low-income earners and government investment for both large projects
       and state enterprises which was expected to increase from the previous year.
       Export growth in the previous year exceeded expectations and was expected to
       continue its growth trend into 2011 due to Chinese and ASEAN economic
       expansion as well as the rising trend in advanced orders. In addition, various
       research houses projected strong export growth in 2011 supported by a rising
       export prices (except for fisheries where there is low pricing power) which was
       expected to partly mitigate the adverse effects of baht appreciation. Tourism
       activity was solid and was expected to expand going forward.

       In the monetary sector, private credit expanded well together with overall
       economic growth. The expansion in commercial bank credit was primarily due to
       demand from households. Corporate loans also increased and were projected to
       grow continuously in 2011. Commercial banks rapidly raised both deposit and
       loan rates following the policy rate hikes.

       In regards to price stability, inflation pressure increased from the previous period.
       Headline inflation accelerated in line with the rise in wages while core inflation
       picked up due to the pass-through of production costs into goods prices,
       especially prepared food and seasonings and condiments. The MPC assessed
       that inflation pressure going forward has increased due to both cost-push and
       demand pull factors. Cost-push factors include: 1) upward trend in oil and
       commodity prices on the back of global economic expansion; 2) increased pass-
       through from the Production Price Index (PPI) into Consumer Price Index (CPI)
       as authorities allowed price increases in many product categories; and 3) gradual
       pass-through of production costs to consumers as producers’ ability to absorb
       such costs became more limited. Demand-pull factors include: 1) a diminishing




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18
output gap as output growth neared potential while producers have revised their
       inflation expectations upwards for some time. These factors would speed up
       price adjustment going forward. In addition, some MPC members expressed
       concerns over the possibility that inflation may breach its target this year.

       Considerations for Monetary Policy.
       The MPC viewed that the risk to inflation had increased relative to the risk to
       growth compared to the previous meeting.

       The global economic recovery strengthened compared to the previous meeting.
       The risk of a double dip recession in the US declined while Asia faced the
       challenge of rising prices, particularly those of commodities. The Thai economy
       continued to return to its long-term growth trend. The MPC viewed that domestic
       demand would become the principal driver of growth in the coming period.

       In addition, strong export performance pointed to Thailand’s economic resilience
       in face of the baht appreciating in the previous period.

       Inflationary pressure clearly increased due to rising oil and commodity prices, the
       return of the Thai economy to its long-term growth trend and pent-up pressure
       from delayed price adjustments. At the same time, increases in the minimum and
       civil service wages may boost consumption expenditures more than expected
       and lead to a rise in inflation expectations going forward. Some MPC members
       were concerned that low real interest rates may foster financial imbalances,
       depress savings and lead to asset bubbles in the future.

       MPC members were unanimous in seeing the need to maintain continuity in
       signaling rate normalization. Robust economic expansion together with
       significantly increased inflationary pressure led to some members discussing the
       possibility of a rate hike of 0.5 percentage points. Nevertheless, the majority of
       MPC members viewed that policy rate adjustment should be gradual while taking
       into account that the neutral rate depends on changing economic circumstances.

       The MPC therefore decided unanimously (7 to 0) to raise the policy interest rate
       by 0.25 percentage points per annum, from 2.00 to 2.25 per cent per annum,
       effective immediately.




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19
Pricing in inflation risks

         BoT’s message is simple – bring prices under control and correct
         the level of real returns to savers
         Investors had been reducing portfolio duration of portfolio during
         past 3 months while the yield curve is pricing in 100bp rate hike
         In Asia, monetary tightening likely to be greater in economies that
         delayed rate actions – a negative for their bond markets
         Local near-term inflationary threat looks benign, but Thai people’s
         consumption basket shows continued increase in food prices have
         greater impacts on low income and rural households
         Yield curve outlook remains one of a bear-flattening
         We expect consecutive policy rate hikes during the next three
         meetings while Q3 may see a further 25bp increase


Local interest rates update
The Bank of Thailand (BoT) had raised its policy rate for the fourth time since July 2010
and signaled that further hikes are in the pipeline to preempt acceleration in actual price
levels and expectations. Such expressions were reiterated in its quarterly publication,
Inflation Report, released on January 24th. The BoT left forecast of core inflation rate
unchanged at 2.0 - 3.0% this year and indicated a high probability (>40%) of them
missing policy target in the third and fourth quarters. That is, given the assumption that
policy rate remained unchanged at 2.25% for the next 8 quarters. Moreover, the BoT
continued to express concerns over negative real deposit rates that could form the basis
of imbalances in the economy over the medium-run. The implication is simple - apart
from bringing prices under control, there is a need to correct the level of real
returns to savers. So far, the adjustments of fixed deposit rates and minimum lending
rates had been rapid. At least when compared to the previous policy rate up-cycle.


Fig 20. Changes in deposit rates                                      Fig 21. Government bond yields change
  %                                                                     %
  2.50                                                                  8.0
                                                                        7.0
  2.00                                                                  6.0

  1.50                                                                  5.0
                                                                        4.0
  1.00                                                                  3.0
                                                                        2.0
  0.50
                                                                        1.0
  0.00                                                                  0.0
     Jan-10        Apr-10       Jul-10            Oct-10     Jan-11       Jan-10         Apr-10    Jul-10            Oct-10           Jan-11

                    T-bill 3M       Fixed 1Y deposit       Repo                Repo          MLR     Bond yield 5Y            Corporate bond 5Y BBB

Source: Bloomberg, KBank                                              Source: Bloomberg, KBank


With the repeated signals from the policymaker, local markets are continually pricing in
new expectations as well. Interest rates had been on a gradual but steady up-trend




2020

20
recently, with substantial liquidity continually keeping bond yields from overshooting the
changes in the policy rate. Nevertheless, there had been a series of more aggressive
swings in bond yields and swap rates as well. This was especially so about a week prior
to the monetary policy decision day as investors adjust portfolios more actively. In
particular, investors continued to reduce their portfolio durations in expectation of further
interest rate hikes. This could be observed via the trading volume of government bonds
during the recent three months. Outright trading volume of bonds that have maturities
more than 7 years had declined by 46% from November to January while trading volume
of 1-3 year bonds increased by 44% during the same period. At the same time, bonds
with maturities 3-7 years saw a less significant change.

 Table 5. Thai yield movements and curve spread
  Month-end              1Y (%)           Chng (bps)           2Y (%)            Chng (bps)            5Y (%)          Chng (bps)       10Y (%)           Chng (bps)           2-5 spread      2-10 spread
     Oct-10               1.98              3▼                  2.31                  4▼                2.83             27 ▲              3.18                6▲                   52 ▲           87 ▲
     Nov-10               2.11              13 ▲                2.38                  7▲                2.98             15 ▲              3.59             41 ▲                    60 ▲          121 ▲
     Dec-10               2.38              27 ▲                 2.8                 42 ▲               3.26             28 ▲              3.77             18 ▲                    46 ▼           97 ▼
     Jan-11               2.54              16 ▲                2.96                 16 ▲               3.40             14 ▲              3.85                8▲                   44 ▼           89 ▼
    9-Feb-11              2.60              6▲                  2.99                  3▲                3.49             9▲                3.86                1▲                   50 ▲           87 ▼
 Source:Bloomberg and KBank




Fig 22. Outright trade volume of government and BoT
                                                                                                                Fig 23. Government bond yields change
bonds by bond maturity
 million baht                                                                                                     bp                              1 month period change in yields
   160                                                                                                            40
                                             T-bills                        Gov t and BoT Bonds 1-3Y
   140                                                                                                            35
                                             Gov t and BoT Bonds 3-7Y       Gov t Bonds >7Y
   120                                                                                                            30
                                                                                                                  25
   100
                                                                                                                  20
    80
                                                                                                                  15
    60
                                                                                                                  10
    40                                                                                                             5
    20                                                                                                             0
     0                                                                                                                    1
                                                                                                                         6m     1   2        3      4      5        7     8         9   10   15      20
                                                                                                                                                                                              tenor (yrs)
                Sep-10           Oct-10            Nov -10              Dec-10            Jan-11                                            Bond Change                 IRS Change

Source: Bloomberg, KBank                                                                                        Source: Bloomberg, KBank



Inflation theme is a dominant theme in the region
Inflation risks and monetary tightening had become more prominent in Asia in recent
months. Although most economies exhibit inflation rates below 4%, the up-trend in
commodity prices, especially agricultural items, are making central banks nervous. At the
same time, high levels of liquidity in the financial markets continued to bolster asset price
increase in many of Asian economies. This suggests that central banks would have to
stay extra vigilant against economic imbalances for quite some time. The two figures
below show three things: headline inflation rates, policy rate change since central banks
started hiking in the year 2009, and market’s expectation of 1-year forward change in
short-term interest rates. We note that expectation for monetary tightening this year is
greater for the economies that were relatively slower in raising policy rate during the past
couple of years e.g. Philippines and Indonesia. This does not bode well for the bond
market in such economies. In fact, investors had started to unload some of their medium
to long-term bond holdings in the Indonesian and Filipino bond markets. Yields of 5-year
sovereign bonds saw substantial increase during the first two months of the year relative
to regional bond market.




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21
K bank multi asset strategies   feb 2011
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K bank multi asset strategies feb 2011

  • 1. .Mean S Multi Asset Strategies KBank Strategies Macro / Multi Asset USD/Asia: cyclically constructive, structurally destructive February 2011 Volume 45 As we are in the year of the Rabbit, the markets will tend to be jumpy…with events in Tunisia and Egypt along with fear that Kobsidthi Silpachai, CFA –Kasikornbank Asia is behind the curve on fighting inflation is again highlighting kobsidthi.s@kasikornbank.com USD perceived safe haven stature and risk in EM assets Susheel Narula – KSecurities Our main theme for USD/THB downside remains unchanged…but susheel.n@kasikornsecurities.com our 4Q11 USD/THB target is scaled back to 29.00 from 28.00 Kavee Chukitkasem – KSecurities kavee.c@kasikornsecurities.com Indications from the central bank along with its perceived preference for a less stronger baht coupled with rising KResearch kr.bd@kasikornresearch.com commodity prices prompts us to revise up our 4Q11 BOT repo target to 3.25% from 2.75% Our full-year 2011 GDP forecast remains unchanged at 4.5% YoY Disclaimer: This report but some components have been revised to better accommodate must be read with the higher oil price risks Disclaimer on page 47 The divergence of economic cycles between EM and Developed that forms part of it economies calls for a sector re-allocation towards ‘Services’ and ‘Commodities’ Strategic Thesis “KBank Multi Asset It looks like the US dollar can do no wrong…that seems to be what the market is Strategies” thinking for the time being. But markets have rather short memories and gives more can now be accessed on weight to cyclical / shorter horizon factors. US data points continue to show recovery in Bloomberg: KBCM <GO> the business sector. The labor market seems mixed but attention is being paid to the falling unemployment rate. Structurally, the verdict might not be utterly convincing since more people are leaving the labor force than more people getting jobs. Another structural impediment is with the spiraling debt levels in the US federal government which is seen to reach 140% in the not too distant future since Uncle Sam is spending money it does not have…not to mention the 50 states. The events in Tunisia and Egypt have turned on the risk switch of EM assets, that is political risk and inflation risks and hence favoring the US dollar. Inflation can be thought as the depreciation rate of money or the rate at which all people become poor. So countries that look to be “behind the curve” will be shunned by investors. China’s move on interest rate again is an admission that controlling money supply alone is not as effective as is hoped. Sooner or later, it will have to look to letting the yuan flow its fundamental course , that is to strengthen. Until then, USD/Asia will remain volatile as seen by the jump in USD/THB vols. But the textbook response is on the wall: higher inflation, higher interest rates. Hence, we can still see the Thai yield curve bias towards a bear flattener. On equities, the continued rally we called last month did not happen and the market fell to 950, also below what we predicted to be the support level at 980. The market psychology has changed and we now no longer expect a sharp directional trade. The SET is shifting pace and will become sideways. We recommend a sector re-allocation towards ‘Services’ and ‘Commodities’. We are Overweight on energy, agricultural, media, hotel, hospital, commerce, contractor and industrial estate. 11 1 WWW.KASIKORNBANKGROUP.COM
  • 2. Key Parameters & Forecasts at Year-end 2003 2004 2005 2006 2007 2008 2009 2010E 2011E GDP, % YoY 7.1 6.3 4.6 5.2 4.9 2.5 -2.3 7.6 4.5 Consumption, % YoY 6.5 6.2 4.6 3.0 1.6 2.7 -1.1 4.0 3.7 Investment Spending, % YoY 12.1 13.2 10.5 3.9 1.3 1.2 -9.2 9.5 8.8 Govt Budget / GDP % -0.2 -0.2 0.3 -0.7 -1.5 -1.0 -5.6 -3.2 -3.8 Export, % YoY 18.2 21.6 15.2 17.0 17.3 15.9 -14.0 27.0 10.0 Import, % YoY 17.4 25.7 25.8 7.9 9.1 26.5 -25.2 35.0 15.0 Current Account (USD bn) 4.78 2.77 -7.6 2.3 14.1 1.6 21.9 14.2 7.5 CPI % YoY, average 1.8 2.8 4.5 4.6 2.3 5.5 -0.9 3.3 3.3 USD/THB 39.6 38.9 41.0 36.1 33.7 34.8 33.3 31.4 29.0 Fed Funds, % year-end 1.00 2.25 4.25 5.25 4.25 0.25 0.25 0.25 0.25 BOT repo, % year-end 1.25 2.00 4.00 5.00 3.25 2.75 1.25 2.00 3.25 Bond Yields 2yr, % year-end 1.73 2.78 4.94 5.02 3.91 1.98 2.17 2.35 3.75 5yr, % year-end 2.8 4.0 5.3 5.1 4.5 2.2 3.6 2.75 4.00 10yr, % year-end 4.9 4.9 5.5 5.4 4.9 2.7 4.3 3.25 4.25 USD/JPY 107.5 102.5 118.0 119.1 111.8 90.7 93.0 82.0 89.0 EUR/USD 1.26 1.36 1.18 1.32 1.46 1.40 1.43 1.40 1.30 SET Index 772.2 668.1 713.7 679.8 858.1 450.0 734.5 1040 1220 Source: Bloomberg, CEIC, KBank, KResearch, KSecurities KBank Thai Government Bond Rich / Cheap model 30.00 20.00 10.00 0.00 -10.00 -20.00 3 mth avg Now -30.00 LB296A LB113A LB116A LB11NA 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 KBank USD/THB model Jan 1995 = 100 KBank THB Trade Weighted Index 48 110 46 44 42 100 40 + 1 std 38 d 36 90 34 average 32 80 30 -1 std dev 28 01 02 03 04 05 06 07 08 09 10 11 12 70 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 = -7.6277Ln(x) + 69.875 44 2 45 42 R = 0.872 40 40 38 36 35 y = 27.699Ln(x) - 86.289 34 2 R = 0.756 32 30 30 28 25 26 70 80 90 100 110 120 130 25 50 75 100 125 150 175 200 225 DXY FX reserves, USD bn DXY to USD/THB mapping current FX reserves to USD/THB mapping current 2011 forecast 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 4.0 7 3.5 6 3.0 5 2.5 4 2.0 1.5 3 1.0 2 0.5 1 0.0 0 01 02 03 04 05 06 07 08 09 10 11 12 00 01 02 03 04 05 06 07 08 09 10 11 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 % y oy Contribution to growth 25% 15.0 20% 10.0 15% 5.0 10% 5% 0.0 0% -5.0 -5% -10.0 -10% -15.0 -15% 1Q08 2Q08 3Q08 4Q08 1Q09 2Q09 3Q09 4Q09 1Q10 2Q10 3Q10 01 02 03 04 05 06 07 08 09 10 11 Priv ate consumption Gov ernment consumption Gross fix ed capital CPI Core CPI PPI Change in inv entories Net ex ports GDP Source: CEIC, KBank Source: NESDB, KBank Implied forward curve: swaps Implied forward curve: TGBs % Implied forward rate shifts (IRS) % Implied bond yield curve shifts 5.00 4.50 4.50 4.00 4.00 3.50 3.50 3.00 2.50 3.00 2.00 1.50 2.50 1.00 2.00 0.50 - 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 0 1 2 3 4 5 6 7 8 9 10 Feb-11 May-11 Aug-11 Jan-12 tenor (yrs) Feb-11 May-11 Aug-11 Feb-12 tenor (yrs) 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 4.0 5 3.0 4 2.0 3 1.0 2 0.0 1 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 750 35.0 700 33.0 650 600 31.0 550 29.0 500 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. The shortest distance between two points is a straight line Kobsidthi Silpachai, CFA - Kasikornbank …or so they say. Low USD liquidity is a cue for the rise in USD/THB kobsidthi.s@kasikornbank.com volatility Warunee Sithithaworn – Kasikornbank As we are in the year of the Rabbit, the markets will tend to be warunee.si@kasikornbank.com jumpy…with events in Tunisia and Egypt again highlighting USD Nalin Chutchotitham – Kasikornbank perceived safe haven stature and risk in EM assets nalin.c@kasikornbank.com Resumption of political activities following end of emergency decree is giving a good excuse for foreign investors to take some money off the table …and reintroduces more uncertainty in the USD/THB picture Our main theme for USD/THB downside remains unchanged…but our 4Q11 USD/THB target is scaled back to 29.00 from 28.00 Indications from the central bank along with its perceived preference for a less stronger baht coupled with rising commodity prices prompts us to revise up our 4Q11 BOT repo target to 3.25% from 2.75% Yesterday’s darling might be today’s out of favor child 2010 was a great year for the Thai baht gaining about 11.07% against the USD. The currency was ranked fourth after JPY, AUD and MYR. That is looking into the rear view mirror. Looking in front passed the windshield with the year of the Rabbit in full swing, the USD/THB has proved so far to be as jumpy as the rodent. The Thai stock market, SET, gained about 48% in 2010 is prompting investors to take some money off the table. Hence, looking at the following statistics, foreign investors have sold about USD 1053 mn, YTD, the most in the region after India. Table 1. Foreign Institutional Investment in Regional Equities Day WTD Net MTD Net YTD Net YTD Net As of (Mil US$) (Mil US$) (Mil US$) (Mil US$) YoY% India -117.1 -117.0 -25.8 -1,413.0 -88.6 08/02/2011 Indonesia -49.7 -34.2 -3.7 -290.9 -6.2 09/02/2011 Japan 2,418.9 2,418.9 2,418.9 10,418.7 -44.8 04/02/2011 Philippines -16.5 -15.6 -55.5 -149.2 -315.9 10/02/2011 S.Korea -451.6 -487.1 -603.9 -20.8 -108.4 09/02/2011 Taiwan -191.2 -117.7 -117.7 3,321.0 233.5 09/02/2011 Thailand -49.7 -191.4 -121.1 -1,053.8 -267.5 09/02/2011 Vietnam 2.5 5.9 5.9 64.0 13.7 09/02/2011 Pakistan 0.7 0.8 5.8 68.9 332.9 09/02/2011 Source: Bloomberg 77 7
  • 8. It is not rocket science that resumption of rainbow political activities, post the end of the emergency decree is giving a good excuse to take profits from Thailand and rotate it elsewhere in the region. The political implosions in the likes of Tunisia and Egypt will bring back memories of the recent past of the Bangkok events in the middle of last year and hence, a growing distaste for Thai financial assets. The risk premium is a tad higher, suggesting that the financial markets are expressing a sense of unease. Amidst growing risk averse coupled with a tight USD liquidity environment, the upward move in the USD/THB was accentuated further. Fig 1. Thai 5yr credit default swap…a gauge of risk Fig 2. USD/THB: 30, 60, 200 day moving averages premium bps over Libor Thai CDS 5Y 38 190 37 36 170 35 34 150 33 32 130 31 110 30 29 90 28 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 70 Jul-09 Sep-09 Nov-09 Jan-10 Mar-10 May-10 Jul-10 Sep-10 Nov-10 Jan-11 USD/THB 30 day avg 60 day avg 200 day avg Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank Unfolding events prompt a rethink There is a saying that “the shortest distance between two points is a straight line”. The reintroduction of the Thai risk premium in light of the idiosyncratic political characteristic complicates our call for a USD/THB target of 28.00 by 4Q11. We have taken notice that the central bank’s stance on FX intervention as toughened since mid November. Fig 3 shows that foreign portfolio flows have been instrumental accentuating the moves in USD/THB. The data points include USD/THB versus the sum of foreign flows on Thai equities and fixed income securities with the latter being larger. Based on statistics, correlation between USD/THB and foreign investment flows up to mid November were highly correlated up to 97%. Fig 3. Relationship between USD/THB & foreign Fig 4. Relationship between USD/THB & foreign portfolio flows (equity & fixed income) Jan to Nov 2010 portfolio flows (equity & fixed income) Jan 2010 to now 250 29.0 400 27 29.5 350 200 28 300 FX intervention was stepped correlation was nearly 98% between 30.0 250 up causing a break in pattern 29 150 Jan 2010 to mid Novebmer 2010 30.5 31.0 200 30 100 150 31.5 31 50 32.0 100 50 32 32.5 0 0 33.0 33 1- 2- 3- 4- 5- 6- 7- 8- 9- 10- -50 1- 2- 3- 4- 5- 6- 7- 8- 9- 10- 11- 12- 1- -502010 2010 2010 2010 2010 2010 2010 2010 2010 2010 33.5 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2011 sum of foreign equity / fixed income flows USD/THB, right axis, inverted sum of foreign equity / fixed income flows USD/THB, right axis, inverted Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 88 8
  • 9. The breakdown in the relation became more obvious post mid November. Table 2 shows our estimate that in December 2010 the Bank of Thailand most likely bought an additional USD1.9 bn in excess of the balance of payments to steer the USD/THB in a new direction. This could be a game of “chicken”. The name might sound childish but it actually is an important concept in economics…primarily game theory. Table 2. Thai balance of payments, FX reserves and estimated FX intervention levels USD mn Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Exports fob 13,610.4 14,254.7 16,083.8 13,831.7 16,434.7 17,876.5 15,475.1 16,291.6 17,954.9 17,045.5 17,584.0 17,220.0 Imports cif -13,041.9 -13,801.8 -15,082.1 -14,032.5 -14,143.7 -15,334.2 -16,266.3 -15,439.8 -14,712.2 -14,772.9 -17,093.8 -15,911.0 Trade Balance 568.5 452.9 1,001.7 -200.8 2,291.0 2,542.4 -791.3 851.7 3,242.7 2,272.7 490.2 1,310.0 Current Account Balance 2,107.6 1,655.9 1,779.9 -299.2 1,164.0 820.9 -1,000.8 280.5 2,767.0 2,739.6 1,019.0 1,750.0 Capital and Financial Account Balance 2,743.4 -698.6 1,732.6 2,964.5 -2,607.8 741.2 2,979.8 3,205.9 1,125.8 2,404.6 Overall Balance of Payments 4,965.5 119.3 3,137.3 3,749.0 -989.3 2,166.4 1,412.2 3,589.4 4,269.8 5,821.7 820.3 2,263.0 FX Reserves 142,403.5 141,797.5 144,094.1 147,588.1 143,518.6 146,759.2 151,524.7 155,186.8 163,235.3 171,061.6 167,973.9 172,128.9 Change in FX Reserves 3,985.9 -606.0 2,296.6 3,494.0 -4,069.5 3,240.6 4,765.5 3,662.1 8,048.5 7,826.3 -3,087.7 4,155.0 Estimated intervention -979.6 -725.3 -840.7 -254.9 -3,080.2 1,074.2 3,353.3 72.7 3,778.7 2,004.6 -3,908.0 1,892.0 Source: CEIC, BOT, KBank The popular source of cyber knowledge, “Wikipedia” defines and discusses “chicken” as follows: The game of Chicken, also known as the Hawk-Dove or Snowdrift game, is an influential model of conflict for two players in game theory. The principle of the game is that while each player prefers not to yield to the other, the worst possible outcome occurs when both players do not yield. The name "Chicken" has its origins in a game in which two drivers drive towards each other on a collision course: one must swerve, or both may die in the crash, but if one driver swerves and the other does not, the one who swerved will be called a "chicken," meaning a coward; this terminology is most prevalent in political science and economics. The name "Hawk-Dove" refers to a situation in which there is a competition for a shared resource and the contestants can choose either conciliation or conflict; this terminology is most commonly used in biology and evolutionary game theory. From a game-theoretic point of view, "Chicken" and "Hawk-Dove" are identical; the different names stem from parallel development of the basic principles in different research areas. The game has also been used to describe the mutual assured destruction of nuclear warfare, especially the sort of brinkmanship involved in the Cuban Missile Crisis. The game is similar to the prisoner's dilemma game in that an "agreeable" mutual solution is unstable since both players are individually tempted to stray from it. However, it differs in the cost of responding to such a deviation. This means that, even in an iterated version of the game, retaliation is ineffective, and a mixed strategy may be more appropriate. 99 9
  • 10. In 1997, the Bank of Thailand and hedge funds had locked horns in a game of “chicken”, with the hedge funds shorting the baht while the Bank of Thailand bought baht to defend the peg. As bystanders became more biased towards the hedge funds, the defense crumbled since the peg was built on a house of cards with the odds stacked against the Thai central bank such as the long list of imbalances: persistent current account deficits, rising financial leverage, land / real estate speculation, mounting short term foreign currency debt facilitated by the Bangkok International Banking Facilities (BIBF), Thai firms conducting interest rate arbitrage by issuing euro convertible debentures (ECDs) encouraged by the fallacy of no FX exchange risks For the present situation, it looks like luck has sided with the central bank as the foreign flows are swerving into outflows. By stepping up the FX intervention, foreign investors were discouraged from aggressively putting more money into the Thai markets since losses on FX will reduce their returns on the financial assets i.e. local currency capital gains and interest rate differentials. We agree that FX intervention and sterilization should be conducted on foreign portfolio flows since by not doing so, Thai juristic and natural persons would become unconsciously indebted to foreign funds, since we do not have the funds’ ownership. Conversely, the point that we have consistently stressed is that flows belonging to Thai juristic and natural persons i.e. current account flows should not be intervened for the following reasons: It represents a cross subsidy between the external side and internal side of the economy i.e. exporters gain at the expense of the general population …correspondingly, it facilitates wealth concentration. Said another way: “Spread the pain and concentrate the gains” Supports moral hazard as Thai exporters would be discouraged from improving on productivity and quality for gaining a competitive advantage and continue to look to the Bank of Thailand to be competitive based on the price function alone. 1010 10
  • 11. We are scaling back our USD/THB targets: 30.00 for 2Q11 and 29.00 for 4Q11 The new stance expressed by the Bank of Thailand on FX management reflects a more hands on style, being more aggressive in limiting the USD/THB downside and more lenient on the capping the USD/THB upside. This is a significant change from what we saw for the earlier part of 2010. With consideration to these points, we are scaling back our targets for USD/THB and revising them to: 30.00 for 2Q11 29.00 for 4Q11 Fig 5. KBank USD/THB model Fig 6. USD/THB Fibonacci levels KBank USD/THB model 48 34 46 33 44 42 32 40 31 38 36 30 34 29 32 30 28 28 Jan-10 Mar-10 May-10 Jul-10 Sep-10 Nov-10 Jan-11 01 02 03 04 05 06 07 08 09 10 11 12 USD/THB Min Max 23.6% actual model 38.2% 50.0% 61.8% 76.4% Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank We have not changed our major thesis for the USD/THB. The risk of the USD has been temporarily dismissed from the markets for the time being. Japan’s sovereign downgrade from AA to AA- by Standard & Poor’s is an attestation that countries can not go on forever without fiscal discipline. Greece is a reminder and so as with the rest of the PIIGS in the Eurozone. The Greenback, cyclically constructive…structually destructive The cyclical data points for the US economy seem constructive. The ISM index (the Institute for Supply Management, http://en.wikipedia.org/wiki/Institute_for_Supply_Management ), suggests that both the manufacturing and services continue to expand. A print north of 50 pts indicates that the business sectors anticipate expansions whilst a print south of 50 pts indicates expectations of contractions. Another litmus paper indicator is shown on fig 8. This is a calculation of the top and bottom line of companies listed on the broader S & P 500. The chart shows that both that current revenue and net income levels are about 96% of peak levels leading up to the financial crisis. 1111 11
  • 12. Fig 7. ISM service and manufacturing Fig 8. S&P 500, revenues & net income 70.0 10,000 900 65.0 9,000 800 60.0 8,000 700 55.0 50.0 7,000 600 45.0 6,000 500 40.0 5,000 400 35.0 30.0 4,000 300 97 98 99 00 01 02 03 04 05 06 07 08 09 10 00 01 02 03 04 05 06 07 08 09 10 ISM Non-Manufacturing (service) ISM Manufacturing revenue, USD bn (mkt cap / PSR) net income, USD bn (mkt cap / PER) Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank The previous should provide encouragement that the “I” part of “Y” of GDP (economists would denote Y = C + I + G +(X-M)), is looking better and better. The other and more important facet of final demand is consumption, which no doubt is hinged on prospect of current income, namely wages. January’s employment data points were rather confusing…should be call it heads or tails? Heads was the lower unemployment rate moving from 9.40% to 9.0%. Tails was the lower than expected absolute levels of job creation, namely “non-farm payrolls”, where the shoal of economists was looking for 146k but the reality was only 36k. The optimists blamed the lower reading on snow storms and weather related challenges rather than on the reluctance of US companies to add human resource costs. Fig 10 shows a worrying structural trend which is a continually declining labor participation rate. This is the ratio between the size of the labor force (people working and are looking for work) divided by the size of the total population. The decline can be due to a couple of reasons we can think of: Americans are discouraged from looking for work since it during the past two years it has proven futile. The demographic shifts towards an aging population as the baby boomers (Americans born post WWII) entire retirement. Fig 9. Number of Americans out of work, unemployment Fig 10. US labor participation rate declines rate 68 16000 11% 67 14000 10% 66 12000 9% 65 8% 64 10000 7% 63 8000 6% 62 6000 5% 61 4000 4% 60 2000 3% 59 0 2% 58 00 01 02 03 04 05 06 07 08 09 10 11 70 72 74 76 78 80 82 84 86 88 90 92 94 96 98 00 02 04 06 08 10 unemployed, k, left unemployment rate, % , right participation rate, % of total US population Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank Our concern here is that retirees are not active consumers which do not bode well for the Asian export market from a structural basis. Reconsidering these facts, the US is looking more and more like Japan. The other similarity is the “G” part of GDP. According to the Congressional Budget Office (CBO), the US Federal (excluding state) governments will rack up a USD 1.4 trillion budget deficit or about 9.8% of GDP. The aging population is 1212 12
  • 13. definitely a factor and hence the need for healthcare reforms. But after 2011, the US federal government is still expected to spend money it doesn’t have i.e. more fiscal deficits which means that the mountain of debt will continue to climb… as long as Asian central banks remain naïve to lend on the premise that such debt will not be monetized. Sure, the US federal government will not default…when the debts become matured… Asian central banks will trade in one piece of paper for another piece of paper. Note that the US federal debt to GDP will exceed those severe levels during WWII. Fig 11. US federal budget deficit to GDP Fig 12. US federal debt to GDP 4 160 2 140 0 120 -2 100 -4 80 -6 60 -8 40 -10 20 -12 0 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96 00 04 08 12 16 20 1969 1972 1975 1978 1981 1984 1987 1990 1993 1996 1999 2002 2005 2008 2011 2014 2017 2020 US budget surplus / deficit as % GDP projected US Federal Debt to GDP, % calculated, with Congressional Budget Office estimates Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank Beside the US Federal Government, the growing concern with the US (the United States) is with the state and local governments’ ability to keep themselves afloat amidst mounting debt. The following function in Bloomberg (MIFA <GO>) shows that the likes of California, Texas, New York are experiencing ever larger deficits. This means the Fed is unlikely to shift its ultra accommodative monetary policy anytime soon (please see the annex to the FOMC’s recent statement). More US dollars can eventually only mean lower prices. Table 3. The arguments for and against USD/THB directions USD/THB positives USD/THB negatives Resumption / escalation of political unrest, which Current account surpluses of Thailand, meaning, prompts a more extended outflows of foreign portfolio exporters outnumber importers. This is a result of flows out of Thailand irregularities in the Thai political and social landscape Increasing probability that the Eurozone breaks up, which thwarts domestic demand hence reallocation of foreign currency reserves back Expectation of further USD/CNY downside as to to the USD supplement the fight against inflation Service account outflows from SET dividend Continued Fed accommodative monetary policy, repayments / Japan fiscal year closing meaning more USD, lower USD price Increasing perceived political risk of emerging markets Better economic growth prospects in Asia relative to as seen in Tunisia, Egypt and the spreading to other the West parts of the Middle East and possibly Asia Political clarity on Constitutional amendments and Concerns that Asian central banks are behind the general elections curve in controlling inflation. Inflation is the Return of Thai portfolio flows e.g. from Korean bonds depreciation rate of money. Source: KBank 1313 13
  • 14. Fig 13. The USA or USB, the United States of Bankruptcy Source: Bloomberg, KBank Federal Open Market Committee (FOMC) Statement January 26, 2011 Information received since the Federal Open Market Committee met in December confirms that the economic recovery is continuing, though at a rate that has been insufficient to bring about a significant improvement in labor market conditions. Growth in household spending picked up late last year, but remains constrained by high unemployment, modest income growth, lower housing wealth, and tight credit. Business spending on equipment and software is rising, while investment in nonresidential structures is still weak. Employers remain reluctant to add to payrolls. The housing sector continues to be depressed. Although commodity prices have risen, longer term inflation expectations have remained stable, and measures of underlying inflation have been trending downward. Consistent with its statutory mandate, the Committee seeks to foster maximum employment and price stability. Currently, the unemployment rate is elevated, and measures of underlying inflation are somewhat low, relative to levels that the Committee judges to be consistent, over the longer run, with its dual mandate. Although the Committee anticipates a gradual return to higher levels of resource utilization in a context of price stability, progress toward its objectives has been disappointingly slow. To promote a stronger pace of economic recovery and to help ensure that inflation, over time, is at levels consistent with its mandate, the Committee decided today to continue expanding its holdings of securities as announced in November. In particular, the Committee is maintaining its existing policy of reinvesting principal payments from its 1414 14
  • 15. securities holdings and intends to purchase $600 billion of longer-term Treasury securities by the end of the second quarter of 2011. The Committee will regularly review the pace of its securities purchases and the overall size of the asset- purchase program in light of incoming information and will adjust the program as needed to best foster maximum employment and price stability. The Committee will maintain the target range for the federal funds rate at 0 to 1/4 percent and continues to anticipate that economic conditions, including low rates of resource utilization, subdued inflation trends, and stable inflation expectations, are likely to warrant exceptionally low levels for the federal funds rate for an extended period. The Committee will continue to monitor the economic outlook and financial developments and will employ its policy tools as necessary to support the economic recovery and to help ensure that inflation, over time, is at levels consistent with its mandate. Voting for the FOMC monetary policy action were: Ben S. Bernanke, Chairman; William C. Dudley, Vice Chairman; Elizabeth A. Duke; Charles L. Evans; Richard W. Fisher; Narayana Kocherlakota; Charles I. Plosser; Sarah Bloom Raskin; Daniel K. Tarullo; Kevin M. Warsh; and Janet L. Yellen. Playing “chicken” with inflation? Economics is the study of opportunity costs and hence any decisions taken by economic agents will incur a trade off. The inconsistency in monetary policy of pricing baht with respect to other currencies (FX exchange rates) and with respect to time (interest rates) might be causing more problems than it solves. The riots in Tunisia and Egypt is said to be partly attributable to rising inflation. In layman’s term, inflation simply means that one is getting poorer as to oppose to gaining prosperity. The rise of China in the global economy is proving to more like a double edge sword. On the positive side, it is serving as a large production base as well as becoming a large market for goods and services. On the other hand, it is clear that the planet is being strained to supporting a population with over 1.36 billion with growing wealth of nearly 10% a year. Coupled with more frequent supply shocks from nature i.e. floods, drought, diseases, it is no wonder as to why the prices of commodities, whether it is metals, energy or agriculture have consistently climb. Fig 16 shows that before the fall of Lehman Brothers, there is a high correlation between China’s nominal GDP and the CRB (Commodity Research Bureau) index of 19 commodities including agriculture, energy and metals. Fig 14. China’s nominal GDP & CRB commodity index Fig 15. Not just coincidence CRB index 100000 500 500 90000 450 80000 450 70000 400 y = 0.0044x + 121.16 400 60000 350 2 R = 0.8826 50000 350 40000 300 30000 300 250 20000 250 from Dec 99 to Jun 08 200 10000 0 150 200 99 00 01 02 03 04 05 06 07 08 09 10 150 10000 20000 30000 40000 50000 60000 70000 CH nominal GDP 4Q moving sum, CNY bn, left CRB index, right CH nominal GDP, CNY bn Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank 1515 15
  • 16. Fig 16. …neither is this: China’s nominal GDP & Thai Fig 17. …as well as explaining a lot CPI TH CPI index 100000 115 115 90000 110 80000 110 y = 0.0004x + 77.118 70000 105 2 R = 0.9389 105 60000 100 50000 100 40000 95 30000 95 90 20000 90 85 10000 0 80 85 00 01 02 03 04 05 06 07 08 09 10 80 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000 CH nominal GDP 4Q moving sum, CNY bn, left TH CPI index, right CH nominal GDP, CNY bn Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank The question is, how can an increase in Thai policy rates control Thai inflation if inflation is more of a function of regional supply and demand rather than just Thai supply and demand? After all, this is by design via all the Free Trade Agreements sign for regional economic integration. Fig 17 shows that size of the Chinese economy has a large influence on Thailand’s inflationary environment. So, it seems that by playing “chicken” with portfolio flows, the central bank is also playing “chicken” with inflation. By allowing the baht to weaken amidst rising commodity prices, the transmission of imported inflation will be much more rapid. The Bank of Thailand’s recent inflation report strongly indicates a fear of rising inflation and that core inflation might get out of hand if interest rates remained low. The following table is the probability distribution for core inflation going forward. With the assumption that the repo remains at 2.25%, there is a 43% probability that core inflation will exceed the 3% upper band in 3Q11 and a 55% probability for 4Q11. Table 4. BOT Inflation Report, Core CPI probability distribution Ranges: % 1Q11 2Q11 3Q11 4Q11 1Q12 2Q12 3Q12 4Q12 >3 0% 12% 43% 55% 11% 6% 3% 3% 2.5 3.0 2% 26% 31% 28% 24% 17% 11% 11% 2.0 2.5 22% 34% 19% 13% 32% 31% 25% 26% 1.5 2.0 51% 21% 6% 3% 23% 29% 32% 32% 1.0 1.5 23% 6% 1% 0% 8% 13% 21% 20% 0.5 1.0 2% 1% 0% 0% 2% 3% 7% 6% <0.5 0% 0% 0% 0% 0% 0% 1% 1% Source: BOT Inflation Report, Jan 2011 The major source of unease for the central bank is that economic growth has closed the output gap. In layman’s term, fig 20 shows what an output gap is. If the actual growth is above trend (in this figure, it is a simple best fit regression line), it suggests that the output gap has closed, meaning that there is little slack left in the production side. This would then indicate that the pass through of inflation (the depreciation rate of money) would be more readily transmitted. A case in point is our current problem with palm oil. If there is not enough slack on the supply side, there will not be enough goods to go around 1616 16
  • 17. and prices have to rise anyways. Actually price ceilings might exacerbate the problem as black markets form where the price sold is higher than the price ceiling. Fig 18. Output gap has closed Fig 19. KBank BOT repo model 5,000,000 % 6 4,500,000 5 4,000,000 above potential growth 4 3,500,000 3 long term trend 3,000,000 2 below potential growth 2,500,000 1 2,000,000 0 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 01 02 03 04 05 06 07 08 09 10 11 12 Thai GDP, 1998 price, 4Q moving sum Linear (Thai GDP, 1998 price, 4Q moving sum) actual model Source: Bloomberg, CEIC, KBank Source: Bloomberg, CEIC, KBank We have inputted the assumptions suggested by the BOT Inflation Report which we believe that the MPC also believes in these assumptions, after all, BOT scholarships are not cheap and easy to come by. Fig 21 shows our repo model which is a behavioral model. Simply it gauges how the MPC responds to key economic data points (e.g. growth and inflation) as reflected in the repo rate. With the new assumptions, we view that the BOT is likely to take policy rates up to 3.25% by the end of the year, as opposed to our earlier call of 2.75%. The release of the MPC minutes (the first ever) shed a lot of light of their concerns for growing potential financial imbalances. Minutes of the Monetary Policy Meeting of the Monetary Policy Committee Bank of Thailand 12 January 2011 Publication date: 26 January 2011 Members Present Prasarn Trairatvorakul (Chairman and Governor), Atchana Waiquamdee (Vice Chairman and Deputy Governor, Monetary Stability), Suchada Kirakul (Deputy Governor, Corporate Support Services), Ampon Kittampon, Praipol Koomsup, Siri Ganjarerndee, Krik-krai Jirapaet Financial Markets The Thai baht was volatile, appreciating relative to the US dollar on the back of capital inflows while depreciating in the beginning of 2011 due to sales of equity by foreign investors after better-than expected US economic data. Going forward, investors are expected to give greater weight to recovery in major countries, resulting in greater two-way movement of the baht as opposed to continued appreciation pressure observed in the previous year. In addition, the yield curve shifted slightly upwards following the previous MPC meeting reflecting market pricing of an interest rate hike this meeting. The majority of market participants surveyed expected the current MPC meeting to result in a rise in the policy rate by 0.25 percentage points while some expected an overall rise of 0.50-1.00 percentage points in 2011. International Economic Conditions Risks to global economic growth have fallen. The US economic recovery continued to strengthen. A survey of economists indicated that the majority viewed that the US economy would grow faster than forecasted and that employment would improve although risks from house prices remained. Nevertheless, certain MPC members expressed concerns regarding the 1717 17
  • 18. continually high rate of unemployment. The European economy stabilized although money markets remained volatile due to concerns over sovereign debt. However, core member countries, especially Germany, are projected to become drivers of growth. The Japanese economy still faced deflation while the appreciating yen may impede growth going forward. The Asian economy continued to grow on the back of domestic demand and exports destined to both within the region as well as new markets with high growth potential. Overall, the region is becoming less reliant on the G3 economies. However, the risk to inflation for the region as a whole increased significantly. The uneven growth of advanced economies and emerging markets has led to varied monetary policy responses. Advanced economies pursued accommodative monetary policy to safeguard economic recovery while emerging markets tightened to maintain price stability and are expected to accelerate the pace of interest rate normalization in 2011. As a result, challenges for Asia going forward are likely to come from capital flow volatility and the appropriate pacing of monetary policy tightening. Domestic Economic Conditions Thai economic growth was projected to return to its long-term trend. The Thai economy continued to expand in Q4 of 2010 from the previous quarter in line with domestic and external demand. Going forward, growth will be supported by 1) private consumption expansion on the back of both agricultural and non- agricultural income, increase in the minimum wage, low unemployment and robust consumer confidence and 2) private investment, which despite some slowdown after accelerating in the prior period, should expand going forward due to favorable business confidence, high capacity utilization in many industries, and future investment plans to meet internal and external demand for goods in services and 3) fiscal stimulus from government income support programs for mostly low-income earners and government investment for both large projects and state enterprises which was expected to increase from the previous year. Export growth in the previous year exceeded expectations and was expected to continue its growth trend into 2011 due to Chinese and ASEAN economic expansion as well as the rising trend in advanced orders. In addition, various research houses projected strong export growth in 2011 supported by a rising export prices (except for fisheries where there is low pricing power) which was expected to partly mitigate the adverse effects of baht appreciation. Tourism activity was solid and was expected to expand going forward. In the monetary sector, private credit expanded well together with overall economic growth. The expansion in commercial bank credit was primarily due to demand from households. Corporate loans also increased and were projected to grow continuously in 2011. Commercial banks rapidly raised both deposit and loan rates following the policy rate hikes. In regards to price stability, inflation pressure increased from the previous period. Headline inflation accelerated in line with the rise in wages while core inflation picked up due to the pass-through of production costs into goods prices, especially prepared food and seasonings and condiments. The MPC assessed that inflation pressure going forward has increased due to both cost-push and demand pull factors. Cost-push factors include: 1) upward trend in oil and commodity prices on the back of global economic expansion; 2) increased pass- through from the Production Price Index (PPI) into Consumer Price Index (CPI) as authorities allowed price increases in many product categories; and 3) gradual pass-through of production costs to consumers as producers’ ability to absorb such costs became more limited. Demand-pull factors include: 1) a diminishing 1818 18
  • 19. output gap as output growth neared potential while producers have revised their inflation expectations upwards for some time. These factors would speed up price adjustment going forward. In addition, some MPC members expressed concerns over the possibility that inflation may breach its target this year. Considerations for Monetary Policy. The MPC viewed that the risk to inflation had increased relative to the risk to growth compared to the previous meeting. The global economic recovery strengthened compared to the previous meeting. The risk of a double dip recession in the US declined while Asia faced the challenge of rising prices, particularly those of commodities. The Thai economy continued to return to its long-term growth trend. The MPC viewed that domestic demand would become the principal driver of growth in the coming period. In addition, strong export performance pointed to Thailand’s economic resilience in face of the baht appreciating in the previous period. Inflationary pressure clearly increased due to rising oil and commodity prices, the return of the Thai economy to its long-term growth trend and pent-up pressure from delayed price adjustments. At the same time, increases in the minimum and civil service wages may boost consumption expenditures more than expected and lead to a rise in inflation expectations going forward. Some MPC members were concerned that low real interest rates may foster financial imbalances, depress savings and lead to asset bubbles in the future. MPC members were unanimous in seeing the need to maintain continuity in signaling rate normalization. Robust economic expansion together with significantly increased inflationary pressure led to some members discussing the possibility of a rate hike of 0.5 percentage points. Nevertheless, the majority of MPC members viewed that policy rate adjustment should be gradual while taking into account that the neutral rate depends on changing economic circumstances. The MPC therefore decided unanimously (7 to 0) to raise the policy interest rate by 0.25 percentage points per annum, from 2.00 to 2.25 per cent per annum, effective immediately. 1919 19
  • 20. Pricing in inflation risks BoT’s message is simple – bring prices under control and correct the level of real returns to savers Investors had been reducing portfolio duration of portfolio during past 3 months while the yield curve is pricing in 100bp rate hike In Asia, monetary tightening likely to be greater in economies that delayed rate actions – a negative for their bond markets Local near-term inflationary threat looks benign, but Thai people’s consumption basket shows continued increase in food prices have greater impacts on low income and rural households Yield curve outlook remains one of a bear-flattening We expect consecutive policy rate hikes during the next three meetings while Q3 may see a further 25bp increase Local interest rates update The Bank of Thailand (BoT) had raised its policy rate for the fourth time since July 2010 and signaled that further hikes are in the pipeline to preempt acceleration in actual price levels and expectations. Such expressions were reiterated in its quarterly publication, Inflation Report, released on January 24th. The BoT left forecast of core inflation rate unchanged at 2.0 - 3.0% this year and indicated a high probability (>40%) of them missing policy target in the third and fourth quarters. That is, given the assumption that policy rate remained unchanged at 2.25% for the next 8 quarters. Moreover, the BoT continued to express concerns over negative real deposit rates that could form the basis of imbalances in the economy over the medium-run. The implication is simple - apart from bringing prices under control, there is a need to correct the level of real returns to savers. So far, the adjustments of fixed deposit rates and minimum lending rates had been rapid. At least when compared to the previous policy rate up-cycle. Fig 20. Changes in deposit rates Fig 21. Government bond yields change % % 2.50 8.0 7.0 2.00 6.0 1.50 5.0 4.0 1.00 3.0 2.0 0.50 1.0 0.00 0.0 Jan-10 Apr-10 Jul-10 Oct-10 Jan-11 Jan-10 Apr-10 Jul-10 Oct-10 Jan-11 T-bill 3M Fixed 1Y deposit Repo Repo MLR Bond yield 5Y Corporate bond 5Y BBB Source: Bloomberg, KBank Source: Bloomberg, KBank With the repeated signals from the policymaker, local markets are continually pricing in new expectations as well. Interest rates had been on a gradual but steady up-trend 2020 20
  • 21. recently, with substantial liquidity continually keeping bond yields from overshooting the changes in the policy rate. Nevertheless, there had been a series of more aggressive swings in bond yields and swap rates as well. This was especially so about a week prior to the monetary policy decision day as investors adjust portfolios more actively. In particular, investors continued to reduce their portfolio durations in expectation of further interest rate hikes. This could be observed via the trading volume of government bonds during the recent three months. Outright trading volume of bonds that have maturities more than 7 years had declined by 46% from November to January while trading volume of 1-3 year bonds increased by 44% during the same period. At the same time, bonds with maturities 3-7 years saw a less significant change. Table 5. Thai yield movements and curve spread Month-end 1Y (%) Chng (bps) 2Y (%) Chng (bps) 5Y (%) Chng (bps) 10Y (%) Chng (bps) 2-5 spread 2-10 spread Oct-10 1.98 3▼ 2.31 4▼ 2.83 27 ▲ 3.18 6▲ 52 ▲ 87 ▲ Nov-10 2.11 13 ▲ 2.38 7▲ 2.98 15 ▲ 3.59 41 ▲ 60 ▲ 121 ▲ Dec-10 2.38 27 ▲ 2.8 42 ▲ 3.26 28 ▲ 3.77 18 ▲ 46 ▼ 97 ▼ Jan-11 2.54 16 ▲ 2.96 16 ▲ 3.40 14 ▲ 3.85 8▲ 44 ▼ 89 ▼ 9-Feb-11 2.60 6▲ 2.99 3▲ 3.49 9▲ 3.86 1▲ 50 ▲ 87 ▼ Source:Bloomberg and KBank Fig 22. Outright trade volume of government and BoT Fig 23. Government bond yields change bonds by bond maturity million baht bp 1 month period change in yields 160 40 T-bills Gov t and BoT Bonds 1-3Y 140 35 Gov t and BoT Bonds 3-7Y Gov t Bonds >7Y 120 30 25 100 20 80 15 60 10 40 5 20 0 0 1 6m 1 2 3 4 5 7 8 9 10 15 20 tenor (yrs) Sep-10 Oct-10 Nov -10 Dec-10 Jan-11 Bond Change IRS Change Source: Bloomberg, KBank Source: Bloomberg, KBank Inflation theme is a dominant theme in the region Inflation risks and monetary tightening had become more prominent in Asia in recent months. Although most economies exhibit inflation rates below 4%, the up-trend in commodity prices, especially agricultural items, are making central banks nervous. At the same time, high levels of liquidity in the financial markets continued to bolster asset price increase in many of Asian economies. This suggests that central banks would have to stay extra vigilant against economic imbalances for quite some time. The two figures below show three things: headline inflation rates, policy rate change since central banks started hiking in the year 2009, and market’s expectation of 1-year forward change in short-term interest rates. We note that expectation for monetary tightening this year is greater for the economies that were relatively slower in raising policy rate during the past couple of years e.g. Philippines and Indonesia. This does not bode well for the bond market in such economies. In fact, investors had started to unload some of their medium to long-term bond holdings in the Indonesian and Filipino bond markets. Yields of 5-year sovereign bonds saw substantial increase during the first two months of the year relative to regional bond market. 2121 21