- The document analyzes the likely impact of the Federal Reserve's QE2 policy of purchasing $500 billion in long-term Treasuries on various interest rates.
- It finds that while QE1 significantly reduced Treasury yields, it had a smaller impact on Baa corporate bond yields, suggesting QE2 will also have limited effects on broad bond market rates.
- The main channels for interest rate effects are liquidity, safety, and duration risk, but the document argues the liquidity and duration risk effects of QE2 will be small, so it will have limited influence on economic activity through interest rates.
Meaning of Term Structure of Interest Rates
Significance of Term Structure of Interest Rates
What is Yield Curve?
A spot rate and a forward Rate
Theories of Term Structure of Interest Rates
Meaning of Term Structure of Interest Rates
Significance of Term Structure of Interest Rates
What is Yield Curve?
A spot rate and a forward Rate
Theories of Term Structure of Interest Rates
There is a lot of apprehensions associated with inverted yield curves and for good reason. From a macro-economic perspective, an inverted yield curve predicts poor economic
performances shortly. This is the reason why in August 2019 when a yield curve inversion was reported in the United States, the term recession was the most searched on Google in the country (Mendez-Carbajo, 2019). The two concepts are often related because, an inverted yield curve, more often than not, leads to a recession.
An example of how we analyze potential investment ideas using a mix of qualitative and quantitative methods. In this case a look at the high-grade tax-exempt bond market and closed-end funds of tax-exempt debt.
With banks being the major avenue that the CBK relies on to execute monetary policy, the paper
sought to investigate whether commercial banks are actually responsive to monetary policy.
The study used an Error Correctional Model to estimate a relationship where lending rates were
treated as the dependent variable while the independent variables were monetary policy,
specifically CBR. The model was also expanded to include additional independent variables
specifically monetary policy transmission channels. These include the credit channel which is
represented by credit to the private sector, exchange rate channel represented as nominal
exchange rate and asset price channel. For consistency, inflation and economic growth were
included in the model because these are the targets of monetary policy.The study findings
showed that there was a long run relationship between lending rates and Central Bank Rate,
Exchange Rates, Asset Price, Credit to the Private Sector, Economic growth and Inflation Rates.
The results also indicated that CBRand Inflation cause lending rates to increase in the short run
while credit to the private sector causes lending rates to decrease in the short run. A statistically
significant relationship was also established between lending rates and CBR, credit to the
private sector. The study concludes that commercial banks’ lending rates are indeed positively
responsive to CBR and that in order to spur economic growth; commercial banks’ lending rates
should be stabilized by streamlining the economic environment in which commercial banks
operate, therefore ensuring stable rates of borrowing.
There is a lot of apprehensions associated with inverted yield curves and for good reason. From a macro-economic perspective, an inverted yield curve predicts poor economic
performances shortly. This is the reason why in August 2019 when a yield curve inversion was reported in the United States, the term recession was the most searched on Google in the country (Mendez-Carbajo, 2019). The two concepts are often related because, an inverted yield curve, more often than not, leads to a recession.
An example of how we analyze potential investment ideas using a mix of qualitative and quantitative methods. In this case a look at the high-grade tax-exempt bond market and closed-end funds of tax-exempt debt.
With banks being the major avenue that the CBK relies on to execute monetary policy, the paper
sought to investigate whether commercial banks are actually responsive to monetary policy.
The study used an Error Correctional Model to estimate a relationship where lending rates were
treated as the dependent variable while the independent variables were monetary policy,
specifically CBR. The model was also expanded to include additional independent variables
specifically monetary policy transmission channels. These include the credit channel which is
represented by credit to the private sector, exchange rate channel represented as nominal
exchange rate and asset price channel. For consistency, inflation and economic growth were
included in the model because these are the targets of monetary policy.The study findings
showed that there was a long run relationship between lending rates and Central Bank Rate,
Exchange Rates, Asset Price, Credit to the Private Sector, Economic growth and Inflation Rates.
The results also indicated that CBRand Inflation cause lending rates to increase in the short run
while credit to the private sector causes lending rates to decrease in the short run. A statistically
significant relationship was also established between lending rates and CBR, credit to the
private sector. The study concludes that commercial banks’ lending rates are indeed positively
responsive to CBR and that in order to spur economic growth; commercial banks’ lending rates
should be stabilized by streamlining the economic environment in which commercial banks
operate, therefore ensuring stable rates of borrowing.
Liquidity of an asset has been defined as a degree where asset or security can be bought or sold in the securities market and this sale or purchase is done without harming the asset’s price. Liquidity has its own benefits such as investment in liquid assets than the illiquid ones. The liquid assets can be easily converted into cash which include the blue chip and money market securities. The ease and comfort with which financial instruments such as stocks and bonds are converted into ownership is the main essence of liquid assets (Burke, n.d.). Liquidity problems can arise due to the following business factors such as:
Mosaic Financial Conditions Index is an effective asset allocation tool, based on the credit markets as a leading indicator for both economy and risk assets.
What Drives Movements in Sovereign CDS Spreads?mymarketfair
We primarily aim to find the macroeconomic factors that drive the movements in Sovereign CDS prices using data from 35 countries around the world. We found no strong evidence of movements in sovereign CDS spreads related to three country-specific macroeconomic factors: exports, imports, and CPI. Since the onset of the financial crisis and the subsequent recovery from recession, we find that 61 percent of the variation in sovereign CDS spreads is explained by a single component. Similarly, a single component account for 54 percent of the variation in local stock market returns. We also find that sovereign CDS spreads are almost equally related to the US stock market, global equity premium, and local stock markets.
RMBS Trading Desk Strategy Understanding Mortgage Dollar R.docxhealdkathaleen
RMBS Trading Desk Strategy
Understanding Mortgage Dollar Rolls October 2, 2006
Sharad Chaudhary
212.583.8199
[email protected]
RMBS Trading Desk Strategy
Ohmsatya Ravi
212.933.2006
[email protected]
Qumber Hassan
212.933.3308
[email protected]
Sunil Yadav
212.847.6817
[email protected]
Ankur Mehta
212.933.2950
[email protected]
RMBS Trading Desk Modeling
ChunNip Lee
212.583.8040
[email protected]
Marat Rvachev
212.847.6632
[email protected]
Vipul Jain
212.933.3309
[email protected]
Dollar rolls serve as the primary channel for mortgage securities borrowing and lending
in the MBS TBA market, and as such they play a critical role in providing liquidity to
the market. The borrowing rate associated with a dollar roll provides significant
information on technicals in the MBS market. A background in the conventions and
calculations associated with dollar rolls is thus critical to understanding relative value
in the MBS market. The primary goal of this primer is to provide this background.
Functionally speaking, dollar roll transactions are a form of securities lending and are
closest in spirit to repurchase agreements (repos). In a typical repo, a lender agrees to
sell securities to a buyer in return for cash. At the termination of the transaction, the
securities are resold at a predetermined price plus an interest payment. A dollar roll is
analogous to a repurchase transaction except that the party borrowing the securities has
the flexibility of returning “substantially similar” securities, instead of the same ones.
In addition to providing financing opportunities for mortgage pass-through positions
and enhancing liquidity in the TBA market, dollar rolls also serve other needs. Dollar
rolls are used to obtain collateral for CMO deals and TBA transactions, to avoid
operational issues associated with taking delivery of mortgage pools, to hedge specified
pool positions, and to express a view on prepayment speeds.
As financing transactions, dollar rolls can offer attractive borrowing rates and a
considerable portion of this primer is devoted to explaining how to calculate the
implied financing rate associated with a particular dollar roll. The sensitivity of roll
pricing to different factors such as prepayment speeds and reinvestment rates is also
explored.
Historical data suggest that dollar rolls can offer financing advantages of as much as 15
bps to 100 bps versus 1-month LIBOR. This advantage should not be construed as a
“free lunch”, however, since it comes with risks attached. These risks include being
redelivered collateral with inferior prepayment characteristics relative to the original
securities that were delivered and prepayment risk. Credit risk and liquidity risk play a
relatively minor part in dollar rolls.
Our primer concludes with a “real life” example of how dollar rolls trade in practice.
We review the history of roll levels on FNMA 6s and comment on t ...
Journal of Banking & Finance 44 (2014) 114–129Contents lists.docxdonnajames55
Journal of Banking & Finance 44 (2014) 114–129
Contents lists available at ScienceDirect
Journal of Banking & Finance
j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / j b f
Macro-financial determinants of the great financial crisis: Implications
for financial regulation q
http://dx.doi.org/10.1016/j.jbankfin.2014.03.001
0378-4266/� 2014 Elsevier B.V. All rights reserved.
q We would like to thank the Editor, an anonymous referee, Luc Laeven, Ross
Levine, Marco Pagano, Andrea Sironi, Randy Stevenson, Gianfranco Torriero,
Giuseppe Zadra and seminar participants at IFABS Conference and ISTEIN seminar
for helpful comments. This paper’s findings, interpretations, and conclusions are
entirely those of the authors and do not necessarily represent the views of the
World Bank and the Italian Banking Association.
⇑ Corresponding author. Tel.: +39 02 58362725.
E-mail addresses: [email protected] (G. Caprio Jr.), [email protected]
(V. D’Apice), [email protected] (G. Ferri), [email protected]
(G.W. Puopolo).
Gerard Caprio Jr. a, Vincenzo D’Apice b,c, Giovanni Ferri d,e, Giovanni Walter Puopolo f,⇑
a Williams College, United States
b Economic Research Department of Italian Banking Association, Italy
c Istituto Einaudi (IstEin), Italy
d LUMSA University of Rome, Italy
e Center for Relationship Banking & Economics – CERBE, Italy
f Bocconi University, CSEF and P. Baffi Center, Italy
a r t i c l e i n f o
Article history:
Received 15 April 2012
Accepted 4 March 2014
Available online 29 March 2014
JEL classification:
G01
G15
G18
G21
Keywords:
Banking crisis
Government intervention
Regulation
a b s t r a c t
We provide a cross-country and cross-bank analysis of the financial determinants of the Great Financial
Crisis using data on 83 countries from the period 1998 to 2006. First, our cross-country results show that
the probability of suffering the crisis in 2008 was larger for countries having higher levels of credit
deposit ratio whereas it was lower for countries characterized by higher levels of: (i) net interest margin,
(ii) concentration in the banking sector, (iii) restrictions to bank activities, (iv) private monitoring. The
bank-level analysis reinforces these results and shows that the latter factors are also key determinants
across banks, thus explaining the probability of bank crisis. Our findings contribute to extend the analyt-
ical toolkit available for macro and micro-prudential regulation.
� 2014 Elsevier B.V. All rights reserved.
1. Introduction ment (BCBS, 2010a), has focused more on the stability of the finan-
As much as it was known that the Great Depression of the 1930s
was the acid test for any reputable macroeconomic theory, the out-
break of the Great Financial crisis in 2008 has shaken not only
financial institutions, but also long-held beliefs and theories on
how the regulation of the financial system should be structured,
with renewed emphasis on macro-prudential supervision and
reforming micro-pr.
We construct a model to value the tranches of Freddie Mac
Multi Class Offering Series 2884, and conduct sensitivity analysis in order to make a recommendation in accordance with our client’s goals.
Mercer Capital's Bank Watch | August 2021 | 2021 Mid-Year Core Deposit Intang...Mercer Capital
Brought to you by the Financial Institutions Team of Mercer Capital, this monthly newsletter is focused on bank activity in five U.S. regions. Bank Watch highlights various banking metrics, including public market indicators, M&A market indicators, and key indices of the top financial institutions, providing insight into financial institution valuation issues.
We measure how securitized assets, including mortgage-backed securities and other asset-backed securities, have shifted across financial institutions over this crisis and how the availability of financing has accommodated such shifts. Sectors dependent on repo financing – in particular, the hedge fund and broker-dealer sector – have reduced asset holdings, while the commercial banking sector, which has had access to more stable funding sources, has increased asset holdings. These findings are important to understand the role played by the government during the crisis as well as to understand the factors determining asset prices and liquidity during the crisis.
Zhiguo He (University of Chicago), In Gu Khang (Northwestern University) and Arvind Krishnamurthy (Northwestern University and NBER)
Similar to The Effect Of Purchasing Long Term Securities On Interest Rates (20)
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
The Evolution of Non-Banking Financial Companies (NBFCs) in India: Challenges...beulahfernandes8
Role in Financial System
NBFCs are critical in bridging the financial inclusion gap.
They provide specialized financial services that cater to segments often neglected by traditional banks.
Economic Impact
NBFCs contribute significantly to India's GDP.
They support sectors like micro, small, and medium enterprises (MSMEs), housing finance, and personal loans.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
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@Pi_vendor_247
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
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how to sell pi coins on Bitmart crypto exchangeDOT TECH
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A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
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Webinar Exploring DORA for Fintechs - Simont Braun
The Effect Of Purchasing Long Term Securities On Interest Rates
1. 1
The Effect of Purchasing Long-term Securities on Interest Rates
Arvind Krishnamurthy1 and Annette Vissing-Jorgensen2
October 22, 2010
The Federal Reserve has considered purchasing a large quantity of long-term Treasuries in what
is being called “QE2.” Market participants expect a purchase around $500bn.3
The objective of
this policy paper is to evaluate the likely impact of QE2 on various long-term rates given two
pieces of information: (a) Knowledge about the relevant features of long and short-term
Treasuries from the analysis by Krishnamurthy and Vissing-Jorgensen (2010) (hereafter, KVJ).
(b) Analysis of the effects of long-term asset purchases by the Federal Reserve in the late-2008
to 2009 period (“QE1”), interpreted in the light of this knowledge.
The stated objective of QE2 is to reduce long-term interest rates in order to spur economic
activity.4
The QE2 strategy involves purchasing long-term Treasuries and paying by increasing
reserve balances. Interest bearing reserve balances can be thought of as overnight government
debt. Thus, a $500bn QE2 decreases long-term Treasury supply by $500bn and increases
overnight debt supply by $500bn. The common argument for how this policy may affect
interest rates is based on portfolio balance: The Fed reduces the portfolio of long-term versus
short-term bonds in the hands of investors and thereby lowers long-rates relative to short-
rates.
Our analysis in KVJ offers two important points for appraising these issues: (1) We show that it
is important to ask which interest rate (i.e. Treasury, Agency, MBS, Baa, etc.) will be affected by
the policy move; and (2) We show that the asset purchased (i.e. Treasuries, Agency, MBS, etc.)
in the policy matters for outcomes.
1 Kellogg School of Management, Northwestern University and NBER
2 Kellogg School of Management, Northwestern University, NBER and CEPR
3
See http://blogs.wsj.com/economics/2010/10/15/bernanke-induces-economists-to-bet-on-bond-buying-sizes/
4
http://www.newyorkfed.org/newsevents/speeches/2010/dud101001.html
2. 2
In our framework, changes in the overall supply of Treasuries affect interest rates through a
liquidity channel and through a safety channel. Investors have a unique demand for liquid and
safe assets and thus place a premium on these assets, above and beyond what they would be
willing to pay according to standard CCAPM models.5
Altering the supply of Treasuries changes
the supply of liquid and safe assets in the hands of investors, changing the liquidity and safety
premium, and thereby changing interest rates. These effects are only present in safe and/or
liquid bonds (e.g. Treasuries, Agencies, and highly rated corporate bonds). This is important for
thinking about QE2 because, while there is considerable evidence for supply effects, most of
the evidence comes from examining the behavior of Treasury interest rates, or other near
safe/liquid substitutes. But, even if a policy affects Treasury interest rates, such rates may not
be policy relevant. Most economic activity is funded by debt that is not as free of credit risk as
Treasuries, Agencies, Aaas. For example, only a small fraction of corporate bonds are rated Aaa
or Aa, with the majority of corporate debt being A, Baa, or lower. If the objective of QE2 is to
reduce interest rates paid by the majority of corporations and households which may then spur
spending and economic growth, then examining supply effects on Treasury rates will be
misleading.6
Indeed, looking at the effect of supply on Baa rates is the most relevant
benchmark. (KVJ focus on Baa rated bonds as the benchmark, as opposed to A or C rated
bonds, because the yield on Baa corporate bonds is available back to 1919. Longstaff, Mithal
and Neis (2006) use credit default swap data from December 2000 to October 2001 to show
that the non-default component of yields is about 50 bps for Aaa and Aa rated bonds, and
about 70 bps for lower-rated bonds, suggesting that the cutoff for bonds whose yields are not
affected by liquidity or safety premia is somewhere around the A rating.).
In theory, supply can affect even Baa rates through a duration-risk channel. By purchasing long-
term Treasuries, policy can reduce the duration risk in the hands of investors and thereby affect
5
A simply way to think about investor willingness to pay extra for assets with very low default risk is to plot the
price against the expected default rate. KVJ argue that this curve is very steep for low default rates, with a slope
that flattens as the supply of Treasuries increases.
6
A good example to illustrate this point is to consider the behavior of Treasury Bill rates in the fall 2008 period.
Such rates were close to zero and substantially below most of other corporate borrowing rates. It would have
been incorrect to look at the low Treasury Bill rate and conclude that credit was easy – the low rates reflect an
extremely high investor preference for liquid and safe assets.
3. 3
the term premium (i.e. the risk premium between long-term bonds and short-term bonds). The
KVJ analysis does not account for any effects on the duration risk premium. This is because the
evidence in KVJ is based on examining the effects of Treasury supply on maturity-matched
spreads between non-Treasury (i.e. corporate) bonds and Treasury bonds. Greenwood and
Vayanos (2010) offer evidence for how a change in the supply of Treasuries affects the spread
between long-term and short-term Treasury bonds. Their demonstrated effect has been
interpreted by some as working through a duration risk channel (see Gagnon, Raskin, Remache,
and Sack, 2010). However, it is important to note that the Greenwood-Vayanos evidence is
based on Treasury rates, which are affected by liquidity/safety effects. Thus, their analysis also
does not conclusively pin down a duration risk channel for the broad bond market.
As we show below, re-examining the evidence on the effects of QE1 in this light suggests that
while the effects on Treasury yields are substantial, the effect on Baa rates is small. This leads
us to conclude that QE2 will have small effects on broad bond-market interest rates and
therefore limited effects on economic activity through an interest rate channel. (Note: There
may be other channels through which QE2 may be beneficial (e.g. via effects on inflation). We
do not address such channels.)
The yield on Agency MBS (i.e government backed MBS) is another policy relevant rate. If QE2 is
successful in reducing these rates, such a reduction may feed into lower financing costs for
households. Agency MBS have low credit risk because of the government guarantee, but they
carry prepayment risk and are therefore not safe in the same sense as Treasuries, which offer
an almost sure nominal repayment. Furthermore, agency MBS are less liquid than Treasuries.
In empirically analyzing Agency MBS rates (not reported here) we have found no effects of
Treasury supply on the spreads between Baa rates and Agency MBS, which leads us to conclude
that purchasing Treasuries in QE2 will also have little effect on mortgage rates. On the other
hand, there is research that shows MBS rates may be affected by large-scale asset purchases
because of market segmentation (see Gabaix, Krishnamurthy and Vigneron, 2007). But this
research suggests that it is more relevant to purchase Agency MBS than Treasuries if the goal is
4. 4
to lower mortgage rates. This is consistent with the evidence from QE1 which involved
purchases of agency MBS and which did affect the yield on these assets.
This note first reexamines the effects of QE1 on bond market interest rates. The data is largely
taken from the event study of Gagnon, Raskin, Remache and Sack (2010), but reinterpreted
from the vantage of KVJ, and with additional evidence from credit default swaps. We then
analyze the likely impact of QE2 given the evidence from QE1 and the fact that QE2 will only
involve Treasuries.
EVENT STUDY: 11/08 to 3/09, “QE1”
Gagnon, et. al., (2010) provide an event study of QE1 based on the announcements of long-
term asset purchases by the Federal Reserve in the late-2008 to 2009 period (“QE1”) (for
simplicity we focus on the main event dates here, leaving out three event dates on which only
small yield changes occurred). These policies included purchase of mortgage-backed securities,
Treasury securities and Agency securities. The table below reproduces the main event-study
dates, spanning a period from 11/25/08 to 3/18/09. The Gagnon, et. al., paper includes some
other dates which we exclude because the effects are negligible. The paper also includes other
interest rates (swaps, etc.), which are largely in line with the effects in the table below. The
second-to-last column is based on our own computations. The IG 10yr CDS refers to the CDX
North America Investment-Grade 10-year index which tracks changes in credit risk on
investment grade bonds over the event dates.
5. 5
Date Event 10yr Treas 10yr Agency Baa Agency
MBS
IG 10yr Credit
Default Swaps
11/25/08 Initial LSAP
Announcement
-22bps -58bps -18bps -44bps -14bps
12/1/08 Chairman Speech -19 -39 -12 -15 +23
12/16/08 FOMC Statement -26 -29 -11 -37 -22
1/28/09 FOMC Statement +14 +14 +2 11 -5
3/18/09 FOMC Statement -47 -52 -29 -31 -9
Total for event dates -100 -164 -68 -116 -27
Over the November 2008 to March 2009 period it became evident from Fed announcements
that the government intended to purchase a large quantity of long-term securities. Interest
rates fell across the board on long-term bonds, consistent with a contraction of supply effect.
Now consider the channels through which the supply effect may have worked. As we have
argued a purchase of long-term securities in exchange for bank reserves has three possible
effects:
(1) Safety channel: In KVJ we show that investors have a unique demand for long-
term safe assets, which is satisfied by Treasuries (as well as agencies and almost-
safe Aaa private sector assets). As QE1 involves a purchase of Treasuries and
Agencies from the private sector, investors have to make do with less long-term
safe assets. The resulting scarcity drives up the safety premium in the price, thus
reducing yields.
(2) Liquidity channel: Since long-term Treasuries are less liquid than bank reserves,
QE1 expands the supply of liquid assets and thus reduces liquidity premia in the
market. Since Treasuries and other very liquid assets have low interest rates
partly because they carry a liquidity premium, the reduction in the liquidity
premium will increase interest rates on such assets. It is important to note that
this effect runs counter to the intended strategy which is to bring down long-
term interest rates.
6. 6
(3) Duration channel: Since QE1 decreases the supply of long duration assets in the
hands of investors, it reduces duration risk premia.
The Baa bond possesses neither a safety nor a liquidity convenience yield. Thus the fall in Baa
yields can help to isolate the duration risk premium effect. However, note that over this period
credit risk also fell dramatically. The credit default swap (CDS) column in the table tracks the
changes in investment-grade CDS over the event dates. The total fall in the CDS is 27 bps.
Netting this against the Baa fall, we have a duration risk effect of at most 41 bps. This number
is an upper bound however because it is likely that the Baa credit risk fell more than
investment-grade (which includes Aaa, Aa, A, and Baa bonds) credit risk.
The Agency bonds will be particularly sensitive to the safety effect. These bonds are not as
liquid as the Treasury bonds, but do have almost the same safety as Treasuries (especially since
the government placed FNMA and FHLMC into conservatorship in September 2008). The fall in
Agency yields is 164 bps. Of this, if we say that 41 bps was due to a decrease in the duration
risk premium then the safety channel must have reduced rates by at least 123 bps. We say “at
least” because the 41 bps is an over-estimate and effect (2) may have also worked against the
safety effect.
The Treasury bonds, which are the most liquid and safe securities, see their yields fall by 100
bps. Comparing this to the 164 bps drop in the Agency securities, we surmise that the liquidity
effect must have raised interest rates by 64 bps.7
Agency MBS yields fall by 116 bps. There are two ways to interpret this evidence. It is possible
that this is due to a safety effect – the government guarantee behind these MBS is worth a lot
to investors so that these securities carry a safety premium. The safety premium then rises, as
with the Agency bonds, decreasing Agency MBS yields. On the other hand, the Agency MBS
7
The 64 bps is an over-estimate because some of the large fall in Agency rates was probably due to market
segmentation effects and the fact that the policy targeted purchases of Agency bonds.
7. 7
carry significant prepayment risk and are unlikely to be viewed as safe in the same way as
Agency bonds or Treasuries (where safety connotes the almost certainty of nominal
repayment). In empirically analyzing Agency MBS rates as well as the rate on 30-year
conventional household mortgages (not reported here) we have found no effects of Treasury
supply on the spreads between Baa rates and Agency MBS, which leads us to conclude that
Agency MBS rates, like Baa rates, do not carry safety or liquidity premia.
Yet, Agency MBS fall more than Agency bonds. We think that a more likely explanation is
market segmentation effects. Gabaix, Krishnamurthy and Vigneron (2007) provide evidence
that MBS rates are affected by market segmentation effects. Since QE1 involved a substantial
purchase of Agency MBS, it is likely that Agency MBS yields fell directly due to such a purchase.
Our read on the event study from QE1 is thus more nuanced than the Gagnon, et. al. (2010)
analysis which sees the effect on interest rates as through the duration risk channel. Most of
the fall in interest rates is due to a safety effect. The liquidity effect has an opposing effect and
works to raise rates. There is a duration effect that is roughly one-third of the safety effect, but
works in the same direction to decrease rates.
Finally, note that these effects – safety, liquidity, duration – are all sizable and probably much
more than we should expect in QE2. This is because the November 2008 to March 2009 period
is an unusual financial-crisis period in which the demand for safe and liquid assets was
heightened. In such an environment, supply changes should be expected to have a large effect
on interest rates. We should not expect as large effects going forward because these demand
conditions no longer exist.
8. 8
ANALYSIS OF QE2
We next analyze the QE2 purchase of $500bn of Treasuries, funded by a $500bn increase in
bank reserves, on interest rates through the duration risk channel, the liquidity channel, and
the safety channel.
Based on the evidence just offered, it is likely that an upper bound for the duration risk effect is
41 bps. In fact, it is likely to be much smaller based on the considerations we have offered in
the previous section (unusual demand conditions during QE1, credit risk).
We also think that the liquidity effect is likely to be small. To quantitatively evaluate this effect,
we need to compute the relative liquidities of long-Treasuries and bank reserves, and examine
the effect of the increase in the aggregate stock of liquid assets on the liquidity premium.
There are reasons to think that the current elasticity of the liquidity premium with respect to
supply is close to zero, so that even without going through the computation of the effect of QE2
on the stock of liquid assets we can conclude that the liquidity effect is negligible. First,
liquidity premia are exceptionally low currently. Consider the following data (on 10/22/2010):
Treasury Bill Tier 1 Non-Financial CP
1 week 10bps 19bps
1 month 12 21
3 month 12 23
The premium on the more liquid 1 week bill relative to the 3 month bill is only 2 basis points.
The premium on the more liquid 3 month bill relative to 3 month CP is only 9 basis points. The
latter premium also reflects some credit risk and tax effects. Given how low these numbers
are, any increase in the supply of liquid assets can at most increase yields by a few basis points.
Second, part of the reason why liquidity premia are so low is that given recent government
policy there is currently a large supply of liquid assets in the hands of the private sector.
9. 9
Consider that the Fed has already increased bank reserves substantially. In June 2007, reserve
balances totaled $44bn. As of September 2010, reserve balances totaled close to $1,040bn.
Furthermore, the government has increased the supply of Treasury bills from $865bn to
$1783bn over this same period.8
These arguments suggest that the effects on liquidity premia
will be negligible so that the liquidity channel will not result in a rise in long-term rates.
Lastly, consider the safety effect. With a $500bn decrease in Treasury supply, investors will
have to make do with less long-term safe assets, and hence drive up the safety premium. Table
III, column (2) of KVJ estimates the size of this safety effect. The regression is,
Baa-Aaa spread = controls + β log(Debt>10yr Maturity)
with log(Debt>10yr Maturity) instrumented by(Debt/GDP), (Debt/GDP)2
, and (Debt/GDP)3
.
The Baa-Aaa spread is the spread between two similarly liquid (or illiquid) assets, but with a
large difference in relative safety. Baas have approximately a 10% probability of default over 10
years, while Aaas have a 1% probability of default. The regressor is long-term Treasury supply
instrumented by the total supply of Treasuries. As we explain in our paper, it is important to
instrument the long-term Treasury supply to provide an accurate estimate of β because the
maturity structure of government debt may be endogenous.
The β estimate, based on annual data from 1926 to 2008, is -31 basis points (t-stat = -2.40). As
of September 2010, there was $847bn of long-term Treasury bonds outstanding. If the Fed
purchases $500bn of these securities, there will be $347bn left in the hands of the private
sector. Evaluating this change based on the β estimate gives an expected fall in Aaa rates of 29
basis points. With small liquidity effects, we expect that QE2 will lower both Aaa and Treasury
8
Note that it is unlikely that the elasticity of the safety premium is also close to zero. The spread between Baa
rates and Aaa rates is 104 bps (10/22/2010). The spread between Aaa rates and the 30 year Treasury bond is 81
basis points. These premia are large and similar to historical averages. In addition, long-term Treasury bonds
(bonds with maturities greater than 10 years) totaled $547bn in June 2007 and $847bn in September 2010. Thus,
the supply increase in long-term safe assets is modest. Indeed, if one considers that the number of Aaa credits has
also fallen over the last 3 years, it is possible that the supply of long-term safe assets is largely unchanged.
10. 10
rates by this amount. As for agency MBS, our evidence suggests that historically agency MBS
behave like Baa bonds in response to changes in Treasury supply, suggesting small effects of
QE2 on MBS yields. Finally, note that these estimates of the safety effect are based on long
histories of data that can capture “average” safety demand conditions, akin to what we see in
the world now.
CONCLUSION
We predict that QE2 policy of purchasing long-term Treasuries will have a limited effect on Baa
rates which are the rates most relevant for corporate borrowing. We do not expect much
effect on Agency MBS rates or household mortgage rates. These rates will only fall substantially
with a policy that targets purchases of Agency MBS. We expect that there will be a significant
lowering of the interest rates on safe assets, including Treasuries and Agency bonds. We thus
conclude that the Treasuries-only policy in QE2 will have a limited effect on interest rates
relevant for households and corporations. There may be other benefits of policy, working
through inflation or other effects, but the channel of lower long-term rates benefitting
borrowers emphasized by Fed officials9
will likely play a limited role.
9
See, e.g., William Dudley, http://www.newyorkfed.org/newsevents/speeches/2010/dud101001.html.
11. 11
References
Arvind Krishnamurthy and Annette-Vissing Jorgensen, 2010, “The Aggregate Demand for
Treasury Debt,” working paper, Northwestern University.
Gabaix, Xavier, Arvind Krishnamurthy and Olivier Vigneron, 2007, "Limits of Arbitrage: Theory
and Evidence from the Mortgage-Backed Securities Market," Journal of Finance, 62(2), pages
557-595, 04.
Joseph Gagnon, Matthew Raskin, Julie Remache, and Brian Sack, "Large-Scale Asset Purchases
by the Federal Reserve: Did They Work?" Federal Reserve Bank of New York Staff Report no.
441, March 2010.
Robin Greenwood and Dimitri Vayanos, 2010, “Bond Supply and Excess Bond Return,” working
paper, LSE.
Longstaff, Francis A., Sanjay Mithal and Eric Neis, 2005, "Corporate Yields Spreads: Default Risk
or Liquidity? New Evidence from the Credit-Default Swap Market," Journal of Finance, 60(5),
pages 2213-2254.