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Hedge Fund Performance Evaluation under the Stochastic Discount Factor Framework

机译:随机贴现因子框架下的对冲基金绩效评估

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摘要

We study hedge fund performance evaluation under the stochastic discount factor framework of Farnsworth, Ferson, Jackson, and Todd (FFJT). To accommodate dynamic trading strategies and derivatives used by hedge funds, we extend FFJT's approach by considering models with option and time-averaged risk factors and incorporating option returns in model estimation. A wide range of models yield similar conclusions on the performance of simulated long/short equity hedge funds. We apply these models to 2,315 actual long/short equity funds from the Lipper TASS database and find that a small portion of these funds can outperform the market.
机译:我们在Farnsworth,Ferson,Jackson和Todd(FFJT)的随机折现因子框架下研究对冲基金的绩效评估。为了适应对冲基金使用的动态交易策略和衍生产品,我们通过考虑具有期权和时间平均风险因素的模型并将期权收益纳入模型估计中来扩展FFJT的方法。大量模型对模拟的多头/空头股票对冲基金的表现得出相似的结论。我们将这些模型应用于Lipper TASS数据库中的2,315个实际多头/空头股票基金,发现这些基金中的一小部分可以跑赢市场。

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  • 来源
    《Journal of Financial and Quantitative Analysis》 |2016年第1期|231-257|共27页
  • 作者单位

    Cheung Kong Grad Sch Business, Beijing 100738, Peoples R China;

    Fordham Univ, Gabelli Sch Business, New York, NY 10023 USA;

    Purdue Univ, Krannert Sch Management, W Lafayette, IN 47906 USA;

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