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The Role of Jumps and Options in the Risk Premia of Interest Rates

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  • Lund, Bruno

Abstract

There is evidence that jumps double the explanatory power of Campbell and Shiller (1991) excess bond returns’ regressions (Wright and Zhou, 2009), and options bring information about bond risk premia beyond that spanned by the yield curve (Joslin, 2007). In this paper I incorporate these features in a Gaussian Affine Term Structure Model (ATSM) in order to assess two questions: (1) what are the implications of incorporating jumps in an ATSM for option pricing, and (2) how jumps and options affect the bond risk-premia dynamics.The main findings are: (1) jump risk-premia is negative in a scenario of decreasing interest rates, and has a significant average magnitude of 1% to 2%, which means that, it explains 10% to 20% of the level of the yields; (2) the Gaussian model (A30) and the Gaussian model with constant intensity jumps (A30J) are the ones that best fit the option prices; and (3) the Gaussian model with constant intensity jumps estimated jointly with options (A30oJ) is the one that best identifies the risk premium.

Suggested Citation

  • Lund, Bruno, 2019. "The Role of Jumps and Options in the Risk Premia of Interest Rates," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(2), January.
    • Handle: RePEc:sbe:breart:v:38:y:2019:i:2:a:18997
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    References listed on IDEAS

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    1. Pan, Jun, 2002. "The jump-risk premia implicit in options: evidence from an integrated time-series study," Journal of Financial Economics, Elsevier, vol. 63(1), pages 3-50, January.
    2. Wright, Jonathan H. & Zhou, Hao, 2009. "Bond risk premia and realized jump risk," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2333-2345, December.
    3. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    4. repec:bla:jfinan:v:59:y:2004:i:1:p:227-260 is not listed on IDEAS
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