Hedge Fund Returns Characterized by Correlation Regimes (Presentation Slides)

Peter Schwendner
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Abstract

We compute monthly correlation matrices of 25 global futures markets in four asset classes: fixed income, commodities, equities, fx. Comparing and grouping those correlation matrices leads to distinct «regimes» in time. We can characterize these regimes by futures market returns, finding patterns between risk-on and risk-off assets. One of those regimes is especially «risk-off». We can also characterize these regimes by CS hedge fund index returns. In the «risk-off» regime, they also underperform. The Eurekahedge EHF funds show a similar performance behaviour according to strategies across regimes as the CS hedge fund indices. The dispersion across the Eurekahedge EHF funds for each month is largest in the «risk-off» regime.
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对冲基金收益的相关性(幻灯片)
我们计算25个全球期货市场的月度相关矩阵,涉及四个资产类别:固定收益、大宗商品、股票和外汇。对这些相关矩阵进行比较和分组,可以在时间上得出不同的“制度”。我们可以通过期货市场回报来描述这些机制,找到风险偏好和风险规避资产之间的模式。其中一个机制特别“规避风险”。我们还可以用CS对冲基金指数回报来描述这些制度。在“避险”机制下,它们也表现不佳。Eurekahedge EHF基金根据不同制度的策略表现出与CS对冲基金指数类似的表现。Eurekahedge EHF基金每个月的分散度在“避险”机制中是最大的。
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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