ON THE ROMANIAN YIELD CURVE: THE EXPECTATIONS HYPOTHESIS AND CONNECTIONS TO THE REAL ECONOMY - PowerPoint PPT Presentation

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ON THE ROMANIAN YIELD CURVE: THE EXPECTATIONS HYPOTHESIS AND CONNECTIONS TO THE REAL ECONOMY

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Title: ON THE ROMANIAN YIELD CURVE: THE EXPECTATIONS HYPOTHESIS AND CONNECTIONS TO THE REAL ECONOMY


1
ON THE ROMANIAN YIELD CURVE THE EXPECTATIONS
HYPOTHESIS AND CONNECTIONS TO THE REAL ECONOMY
ACADEMY OF ECONOMIC STUDIES DOCTORAL SCHOOL OF
FINANCE AND BANKING DOFIN DISSERTATION PAPER
  • M.Sc. Student Alina STEFAN
  • Advisor Prof. Moisa ALTAR
  • Bucharest 2008

2
Motivation - questions
  • Romanian Yield Curve
  • Shape and movements
  • How does one analyze the yield curve
  • Predictive power
  • What can we learn from the yield curve?
  • Connections with the real economy
  • How is the yield curve influenced by inflation
    and real activity?
  • Caveat data are scarce and volatile
  • Methodology
  • All the tests are done in STATA
  • August 1999 February 2008, monthly data

3
Motivation questions (2)
4
Results
  • In the short run BUBOR is a good approximation
    for the Romanian T-bills yields
  • In the medium and long run the yield curve is
    flat or downward sloping
  • The expectation hypothesis does not hold, yet the
    market correctly anticipates the direction of
    yields
  • Parallel shifts in the yield curve represent the
    largest part of the movements in the yield curve
  • Yields on the primary market are higher than on
    the secondary market (related to the winners
    curse)
  • A backwards-looking Taylor rule performs well
  • Yields respond to shocks to inflation and real
    activity

5
Short term
  • UK Panel regression with Fixed Effects for GBP
    LIBOR on the T-bills yields
  • ? -0.01, ? 1.087, R2 0.99
  • Cointegrated (using 3-Month data)
  • T-bills yields Granger cause LIBOR
  • The credit spread improves the model
  • Romania Panel regression with Random Effects for
    3M, 6M, 12M BUBOR on T-bills yields
  • ? 0.02, ? 1.035, R2 0.99
  • The variables Granger cause each other
  • Romanian yields follow BUBOR closely

6
Medium long term
  • Construction of yield curve using cubic spline
    interpolation ? Yi(t) ai bit cit2 dit3
  • March 2007
  • The shape of the yield curve reveals market
    expectations about future interest rates
  • Theory term premium (liquidity premium)
    hypothesis / expectations hypothesis

7
Expectation hypothesis
  • Explains the shape of the yield curve
  • fj E(YTMj) ? YTMj fj ?
  • (1YTMj)j (1YTMi)I? (1fij)j-i
  • Regress realized yields on forward rates (e.g.
    f25 compares with YTM3, 2 years from now)
  • Expectation hypothesis says ? 0, ? 1
  • Alternative theory term premium says ? lt 0, ?
    1
  • Fama Bliss (1987) find that forward rates do
    not have predictive power at a short horizon

8
Expectation hypothesis (2)
  • Realized yields on forward rates with Fixed
    Effects
  • No evidence for a term premium
  • The expectations hypothesis does not hold
  • Still, the market correctly anticipates the
    direction, but not the degree, of interest rate
    changes

9
Movements of the yield curve
  • How to describe movements of the yield curve?
  • Group the yields into short term, medium term and
    long term and run a principal component analysis
  • Risk factors slope, level, curvature
  • ScheinkmanLitterman (1991), DaiSingleton (2000)
  • 68.22 of the movements of the yield curve are
    parallel shifts
  • For comparison, more than 99 of the movements in
    BUBOR are explained by parallel shifts (because
    of short maturities)

10
Movements of the yield curve (2)
  • Principal component analysis
  • Alternative model Evans Marshall (1998)

11
Primary vs. secondary markets
  • Two opposing theories
  • Avoid winners curse ? yields on the primary
    market gt yields on the secondary market Neyt
    (1995) for Belgium
  • Liquidity hypothesis ? yields on the primary
    market lt yields on the secondary market
    Krishnamurthy (2002) for the US
  • In Romania there is evidence of the former,
    although the data are scarce and volatile
  • Volatility on the primary market 0.29, on the
    secondary 0.58

12
Taylor rules
  • Taylor rule (1993) rt a0 a'1ft0 vt
  • Clarida et al (2000) ? backwards-looking
  • rt b0 b'1Xt0 vt, where Xt0 (ft0' ft0'-1,
    ..., ft0'-p-1 )'
  • I use 3-Month yields logs, first difference
    CPI and IP deseasonalized, logs, first
    difference
  • For Romania
  • In the original Taylor rule, R2 is very small
    (0.04)
  • In backwards-looking form, R2 is 0.67

13
Taylor rules (2)
  • Taylor rule backwards-looking

14
Taylor rules (3)
  • Autocorrelations

15
Taylor rules (4)
  • Residuals from Taylor rules and the short rate

16
Taylor rules (5)
  • Also take into account
  • Larger set of macroeconomic data
  • The Taylor rule is sensitive to the measures of
    inflation and real activity
  • The Taylor rule has a forward-looking component
  • Interest rate smoothing

17
Vector autoregression
  • Analyze the interactions between yields and real
    economy
  • 2 models
  • Short term yields, medium term yields, principal
    component for inflation (consumer price index,
    Brent price, production price index), industrial
    production
  • The commodity price also accounts for unexpected
    inflation
  • The inflation factor is closely correlated to the
    CPI (79.92) and the PPI (82.62) and less
    correlated with Brent (59.65).
  • Short term yields, medium term yields, consumer
    price index, industrial production
  • The yields are in logs and first difference
  • The inflation and industrial production is
    seasonally adjusted, in logs and first difference

18
Vector autoregression (2)
  • The first model
  • VAR with 3 lags economically significant
  • R2 is 80.11 for the short-term yields equation
    and 52.03 for the medium-term yields
  • Ang Piazzesi(2003) find that 85 of the US
    short-term rate is explained by macroeconomic
    factors (they also identify latent factors)

19
Vector autoregression (3)
  • The VAR is stable, the residuals are correlated
    at lag 2, errors are not normally distributed
  • Yields are Granger caused by inflation and real
    activity

20
Vector autoregression (4)
  • Impulse response functions

21
Conclusions
  • In the short run BUBOR is a good approximation
    for the Romanian T-bills yields
  • In the medium and long run the yield curve is
    flat or downward sloping
  • The expectation hypothesis does not hold, yet the
    market correctly anticipates the direction of
    yields
  • Parallel shifts in the yield curve represent the
    largest part of the movements in the yield curve
  • Yields on the primary market are higher than on
    the secondary market (related to the winners
    curse)
  • A backwards-looking Taylor rule performs well
  • Yields respond to shocks to inflation and real
    activity

22
References
  • "Stata Time Series", Stata Press, 2007
  • Acock, Alan C., 2006, "A Gentle Introduction to
    Stata", Stata Press
  • Ang A., Piazzesi M., 2003, "A no-arbitrage vector
    autoregression of term structure dynamics with
    macroeconomic and latent variables", Journal of
    Monetary Economics 50, 745-787
  • Ang, Andrew, Dong, Sen, Piazzesi, Monika, 2007,
    "No-Arbitrage Taylor Rules", NBER Working Papers
    13448
  • Baum, Christopher F., 2006, "An Introduction to
    Modern Econometrics Using Stata", Stata Press
  • Bodie, Zvi, Kane, Alex, Marcus, Alan J., 2008,
    "Investments, Eigth Edition", McGraw-Hill
  • Botel, Cezar, 2002, "Cauzele inflatiei în
    România, iunie 1997-august 2001. Analiza bazata
    pe vectorul autoregresiv structural", BNR, Caiete
    de studii 11
  • Chen, R. R., Scott, L., 1993, "Maximum likelihood
    estimation for a multi-factor equilibrium model
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    of Fixed Income 3, 1993, 14-31
  • Christiano, Lawrence J., Eichenbaum, Martin,
    Evans, Charles L., 1998, "Monetary Policy Shocks
    What Have We Learned and to What End?", NBER
    Working Paper, 6400
  • Christiano, Lawrence J., Eichenbaum, Martin,
    Evans, Charles L., 2001, "Nominal Rigidities and
    the Dynamic Effects of a Shock to Monetary
    Policy", NBER Working Papers, 8403
  • Clarida, R., Gali, J., Gertler, M., 2000,
    "Monetary policy rules and macroeconomic
    stability evidence and some theory", Quarterly
    Journal of Economics 41, 277-300
  • Clinebell, John M., Kahl, Douglas R., Stevens,
    Jerry L., 2000, "Integration of LIBOR and
    Treasury bill yields over different monetary
    regimes", Global Finance Journal, 17-30
  • Dai, Q., Singleton, K., 2000, "Specification
    Analysis of affine term structure models",
    Journal of Finance 55, 1943-1978
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    of interest rates", Mathematical Finance 6,
    379-406
  • European Central Bank, 2003, "Bond Markets and
    Long-Term Interest Rates in European Union
    Accesion Countries"
  • Evans C.L., Marshall D., 1998, "Monetary policy
    and the term structure of nominal interest rates
    evidence and theory", Carnegie-Rochester
    Conference Series on Public Policy 49

23
References (2)
  • Fama, Eugene F., Bliss, Robert R., 1987, "The
    information in Long-Maturity Forward Rates", The
    American Economic Review, 680-692
  • Greene, William H., 2003, "Econometric Analysis,
    Fifth Edition", Prentice Hall
  • Hamilton, James D., 1994, "Time Series Analysis",
    Princeton University Press
  • Krishnamurthy, Arvind, 2002, "The Bond/Old Bond
    Spread", Forthcoming Journal of Financial
    Economics
  • Kuttner, Kenneth, N., Mosser, Patricia, P., 2002,
    "The Monetary Transmission Mechanism Some
    Answers and Further Questions ", FRBNY Economic
    Policy Review/ May 2002
  • Litterman, R., Scheinkman, J., 1991, "Common
    factors affecting bond returns", Journal of Fixed
    Income 1, 51-61
  • Longstaff, F.A., Schwartz, E.S., 1992, "Interest
    rate volatility and the term structure a two
    factor general equilibrium model", Journal of
    Finance 47, 1252-1282
  • McCulloh, J. Huston, 1975, "An Estimate of the
    Liquidity Premium", The Journal of Political
    Economy, 95-120
  • Mönch, Emanuel, 2005, "Forecasting the Yield
    Curve in a Data Rich Environment A No-Arbitrage
    Factor Augmented VAR Approach", ECB Working
    Papers, 544
  • Neyt, R., 1995, "Evidence on the Yield
    Differentials between the Primary and Secondary
    Market for Belgian Treasury Bills", Tijdschrift
    voor Economie en Management, Vol. XLI. I, 1996
  • Rotemberg, Julio, Woodford, Michael, 1998,
    "Interest Rate Rules in an Estimated Sticky Price
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24
References (3)
  • Taylor, J.B., 1993, "Discretion versus policy
    rules in practice ", Carnegie-Rochester
    Conference Series on Public Policy 39, 195-214
  • Varian, Hal R,., 2005 "Intermediate
    Microeconomics A Modern Approach, Seventh
    Edition", W. W. Norton
  • Veronesi, Pietro, 2007, "Recent Advances in Fixed
    Income Securities Modeling Techniques",
    presentation made at the Bank of Italy, July 2007
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    Analysis of Cross Section and Panel Data", The
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