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

Bruno Lund
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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.
跳跃和期权在利率风险溢价中的作用
有证据表明,跳跃的解释能力是Campbell和Shiller(1991)超额债券收益回归(Wright和Zhou, 2009)的两倍,期权带来的债券风险溢价信息超出了收益率曲线的跨度(Joslin, 2007)。在本文中,我将这些特征纳入高斯仿射期限结构模型(ATSM)中,以评估两个问题:(1)将跳跃纳入ATSM对期权定价的影响是什么,以及(2)跳跃和期权如何影响债券风险溢价动态。研究发现:(1)在利率下降的情况下,跳跃风险溢价为负,其平均幅度为1% ~ 2%,这意味着它解释了收益率水平的10% ~ 20%;(2)高斯模型(A30)和等强度跳跃高斯模型(A30J)最能拟合期权价格;(3)与期权(A30oJ)联合估计的等强度跳变高斯模型最能识别风险溢价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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