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The relationship between short-term and forward interest rates: a structural time-series analysis

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  • Sridhar Iyer

Abstract

In this paper, the structural time-series (STS) approach is used to examine the relationship between short-term and forward interest rates on US Treasury bills and, to decompose the biased predictions of the future short rate by the forward rate, into systematic expectation errors and systematic time-varying term premiums. Results confirm many of the empirical characteristics of short and forward rates and, findings reveal that both expectation errors and time-varying expected term premiums are important in explaining the forward rate bias.

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  • Sridhar Iyer, 2000. "The relationship between short-term and forward interest rates: a structural time-series analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 10(2), pages 143-153.
  • Handle: RePEc:taf:apfiec:v:10:y:2000:i:2:p:143-153
    DOI: 10.1080/096031000331770
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    References listed on IDEAS

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    1. Froot, Kenneth A, 1989. " New Hope for the Expectations Hypothesis of the Term Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 44(2), pages 283-305, June.
    2. Diebold, Francis X & Nerlove, Marc, 1989. "The Dynamics of Exchange Rate Volatility: A Multivariate Latent Factor Arch Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(1), pages 1-21, Jan.-Mar..
    3. Evans, Martin D. D. & Lewis, Karen K., 1994. "Do stationary risk premia explain it all?: Evidence from the term structure," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 285-318, April.
    4. Harvey, Andrew & Ruiz, Esther & Sentana, Enrique, 1992. "Unobserved component time series models with Arch disturbances," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 129-157.
    5. Sola, Martin & Driffill, John, 1994. "Testing the term structure of interest rates using a stationary vector autoregression with regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 18(3-4), pages 601-628.
    6. Andrews, Rick L, 1994. "Forecasting Performance of Structural Time Series Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 129-133, January.
    7. Fama, Eugene F., 1984. "The information in the term structure," Journal of Financial Economics, Elsevier, vol. 13(4), pages 509-528, December.
    8. Simon, David P., 1989. "Expectations and Risk in the Treasury Bill Market: An Instrumental Variables Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(3), pages 357-365, September.
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    Cited by:

    1. Casalin, Fabrizio, 2013. "Testing the expectations hypothesis of the term structure with permanent-transitory component models," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3192-3203.
    2. Casalin, Fabrizio, 2016. "Size and power of tests based on Permanent-Transitory Component Models," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 142-153.

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