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Modeling fixed income excess returns

Author

Listed:
  • Basma Bekdache

    (Wayne State University)

  • Christopher F. Baum

    (Boston College
    DIW Berlin)

Abstract

Excess returns earned in fixed-income markets have been modeled using the ARCH-M model of Engle et al. and its variants. We investigate whether the empirical evidence obtained from an ARCH-M type model is sensitive to the definition of the holding period (ranging from 5 days to 90 days) or to the choice of data used to compute excess returns (coupon or zero-coupon bonds). There is robust support for the inclusion of a term spread in a model of excess returns, while the significance of the in-mean term depends on characteristics of the underlying data.

Suggested Citation

  • Basma Bekdache & Christopher F. Baum, 1998. "Modeling fixed income excess returns," Boston College Working Papers in Economics 409, Boston College Department of Economics, revised 14 Apr 2000.
    • Handle: RePEc:boc:bocoec:409
    Note: This paper was previously titled "Conditional heteroskedasticity models of excess returns: How robust are the results?"
    as

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    References listed on IDEAS

    as
    1. John Y. Campbell, 1995. "Some Lessons from the Yield Curve," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 129-152, Summer.
    2. Klemkosky, Robert C. & Pilotte, Eugene A., 1992. "Time-varying term premia on U.S. Treasury bills and bonds," Journal of Monetary Economics, Elsevier, vol. 30(1), pages 87-106, October.
    3. Allan D. Brunner & David P. Simon, 1996. "Excess Returns And Risk At The Long End Of The Treasury Market: An Egarch-M Approach," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(3), pages 443-457, September.
    4. Tzavalis, Elias & Wickens, Michael R, 1997. "Explaining the Failures of the Term Spread Models of the Rational Expectations Hypothesis of the Term Structure," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 364-380, August.
    5. Shiller, Robert J. & Huston McCulloch, J., 1990. "The term structure of interest rates," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 13, pages 627-722, Elsevier.
    6. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    7. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    8. Robert J. Shiller & John Y. Campbell & Kermit L. Schoenholtz, 1983. "Forward Rates and Future Policy: Interpreting the Term Structure of Interest Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 14(1), pages 173-224.
    9. Brunner, Allan D & Simon, David P, 1996. "Excess Returns and Risk at the Long End of the Treasury Market: An EGARCH-M Approach," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(3), pages 443-457, Fall.
    10. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
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    More about this item

    Keywords

    GARCH models; excess returns; term premium;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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