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Ex post and ex ante returns and risks under different maturities of treasury bonds: evidence from developed and emerging markets

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  • Medhat Hassanein
  • Islam Azzam

Abstract

Based on asset pricing theory, reward/risk ratios vary positively with maturity of Treasury securities. We study the effect of increasing Treasury bonds' maturity on ex post and ex ante returns and risks in developed and emerging countries. As maturity increases, we show that ex post and ex ante returns are negative and they decrease while ex post and ex ante risks increase in developed countries, resulting in a sharp increase in the ex post and ex ante coefficient of variation. This indicates that investors are negatively rewarded for the risk they face for investing in Treasury bonds in developed markets. In emerging markets, as maturity increases, ex post and ex ante returns are positive for medium and long maturities and they increase while ex ante risk decreases with maturity. As maturity increases, the coefficient of variation in emerging and developed markets increases, indicating that reward to investors for facing extra risk decreases as maturity increases; however, investors are much better rewarded in emerging than developed markets.

Suggested Citation

  • Medhat Hassanein & Islam Azzam, 2010. "Ex post and ex ante returns and risks under different maturities of treasury bonds: evidence from developed and emerging markets," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 3(1), pages 103-118.
    • Handle: RePEc:taf:macfem:v:3:y:2010:i:1:p:103-118
    DOI: 10.1080/17520840903076523
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    References listed on IDEAS

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    1. Lekkos, Ilias & Milas, Costas, 2004. "Time-varying excess returns on UK government bonds: A non-linear approach," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 45-62, January.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. William F. Sharpe, 1965. "Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 39, pages 119-119.
    4. Gray, Stephen F., 1996. "Modeling the conditional distribution of interest rates as a regime-switching process," Journal of Financial Economics, Elsevier, vol. 42(1), pages 27-62, September.
    5. 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.
    6. Fornari, Fabio & Mele, Antonio, 1996. "Modeling the changing asymmetry of conditional variances," Economics Letters, Elsevier, vol. 50(2), pages 197-203, February.
    7. John H. Cochrane & Monika Piazzesi, 2005. "Bond Risk Premia," American Economic Review, American Economic Association, vol. 95(1), pages 138-160, March.
    8. Eugene A. Pilotte & Frederic P. Sterbenz, 2006. "Sharpe and Treynor Ratios on Treasury Bonds," The Journal of Business, University of Chicago Press, vol. 79(1), pages 149-180, January.
    9. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    10. Enrique Sentana, 1995. "Quadratic ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 639-661.
    11. Barr, David G. & Priestley, Richard, 2004. "Expected returns, risk and the integration of international bond markets," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 71-97, February.
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. Ogden, Joseph P., 2003. "The calendar structure of risk and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 70(1), pages 29-67, October.
    14. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    15. Fama, Eugene F., 1990. "Term-structure forecasts of interest rates, inflation and real returns," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 59-76, January.
    16. Fama, Eugene F. & French, Kenneth R., 1989. "Business conditions and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 25(1), pages 23-49, November.
    17. Arago, Vicent & Nieto, Luisa, 2005. "Heteroskedasticity in the returns of the main world stock exchange indices: volume versus GARCH effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(3), pages 271-284, July.
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