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A note on statistical models for individual hedge fund returns

机译:有关个人对冲基金收益的统计模型的说明

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In recent years, a large number of research papers and monographs on the analysis of hedge fund returns have been published. Typically, the authors of these studies implicitly or explicitly treat monthly returns of hedge funds as independent and identically distributed observations. The Hedge Fund Index might be able to serve that role. But the returns of an individual hedge fund are not like that. They behave autoregressively depending on the time periods. This stochastic behavior should be modeled as a combined/regime switching stochastic process of two processes: i.i.d. process and autoregressive process. This paper first depicts the autoregressiveness of hedge fund returns. Then we introduce our statistical model for returns of an individual hedge fund and then, with our retrospective view, we perform several data analyses for individual hedge funds’ return data.
机译:近年来,有关对冲基金收益分析的大量研究论文和专着已经发表。通常,这些研究的作者将对冲基金的月收益隐含或显式地视为独立且分布均匀的观察结果。对冲基金指数可能能够发挥这一作用。但是,单个对冲基金的回报却并非如此。它们根据时间段自回归地运行。这种随机行为应被建模为两个过程的组合/区域切换随机过程:i.d.过程和自回归过程。本文首先描述了对冲基金收益的自回归。然后,我们介绍单个对冲基金收益的统计模型,然后以回顾性观点对单个对冲基金的收益数据进行若干数据分析。

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