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Excess returns and risk at the long end of the Treasury market: an EGARCH-M approach

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Listed:
  • Allan D. Brunner
  • David P. Simon

Abstract

This paper models weekly excess returns of 10-year Treasury notes and long-term Treasury bonds from 1968 through 1993 using an exponential generalized autoregressive conditional hetroskedasticity in mean (EGARCH-M) approach. The results indicate the presence of conditional hetroskedasticity and a strong tendency for the ex-ante volatility of excess returns to increase more following negative excess return innovations compared to positive innovations of equal magnitude. In addition, increases in ex-ante volatility are associated in some subperiods with rising excess returns on longer-term instruments, although the slope of the yield curve and lagged excess returns generally remain significant predictors of excess returns.

Suggested Citation

  • Allan D. Brunner & David P. Simon, 1995. "Excess returns and risk at the long end of the Treasury market: an EGARCH-M approach," International Finance Discussion Papers 522, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:522
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    Citations

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    Cited by:

    1. Jonathan Batten & Francis In, 2006. "Dynamic interaction and valuation of quality yen Eurobonds in a multivariate EGARCH framework," Applied Financial Economics, Taylor & Francis Journals, vol. 16(12), pages 881-892.
    2. Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2008. "Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan," MPRA Paper 19488, University Library of Munich, Germany.
    3. Duong T Le, 2015. "Ex-ante Determinants of Volatility in the Crude Oil Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(1), pages 1-13, January.
    4. Nadia Saleem, 2008. "Measuring Volatility of Inflation in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 13(2), pages 99-128, Jul-Dec.
    5. Syed Kumail Abbas Naqvi & Bushra Naqvi, 2010. "Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(2), pages 1-33, Jul-Dec.
    6. M. Karanasos & J. Kim, 2003. "Moments of the ARMA--EGARCH model," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 146-166, June.
    7. Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2009. "Inflation Volatility: An Asian Perspective," MPRA Paper 19489, University Library of Munich, Germany.
    8. Halkos, George E. & Papadamou, Stephanos T., 2006. "An investigation of bond term premia in international government bond indices," Research in International Business and Finance, Elsevier, vol. 20(1), pages 45-61, March.
    9. repec:bla:ausecp:v:41:y:2002:i:1:p:115-28 is not listed on IDEAS
    10. Karunaratne, Neil Dias & Bhar, Ramprasad, 2011. "Regime-shifts and post-float inflation dynamics of Australia," Economic Modelling, Elsevier, vol. 28(4), pages 1941-1949, July.
    11. Jonathan Batten & Warren Hogan & Francis In, 2002. "Valuing Credit Spreads on Quality Australian Dollar Eurobonds in a Multivariate EGARCH Framework," Australian Economic Papers, Wiley Blackwell, vol. 41(1), pages 115-128, March.
    12. 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.
    13. Menelaos Karanasos & J. Kim, "undated". "Alternative GARCH in Mean Models: An Application to the Korean Stock Market," Discussion Papers 00/25, Department of Economics, University of York.

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