Evaluating Government Bond Fund Performance with Stochastic Discount Factors

W. Ferson, Tyler R. Henry, Darren J. Kisgen
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引用次数: 129

Abstract

This article shows how to evaluate the performance of managed portfolios using stochastic discount factors (SDFs) from continuous-time term structure models. These models imply empirical factors that include time averages of the underlying state variables. The approach addresses a performance measurement bias, described by Goetzmann, Ingersoll, and Ivkovic (2000) and Ferson and Khang (2002), arising because fund managers may trade within the return measurement interval or hold positions in replicable options. The empirical factors contribute explanatory power in factor model regressions and reduce model pricing errors. We illustrate the approach on US government bond funds during 1986--2000. Copyright 2006, Oxford University Press.
用随机折现因子评价国债基金绩效
本文展示了如何利用连续时间期限结构模型中的随机贴现因子(sdf)来评估管理投资组合的绩效。这些模型暗示了经验因素,包括潜在状态变量的时间平均值。该方法解决了Goetzmann、Ingersoll和Ivkovic(2000)以及Ferson和Khang(2002)所描述的绩效测量偏差,这种偏差的产生是因为基金经理可能在回报测量区间内进行交易或持有可复制期权。实证因素有助于因子模型回归的解释力,降低模型定价误差。我们举例说明了1986- 2000年期间美国政府债券基金的方法。牛津大学出版社版权所有。
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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