On the High-Frequency Dynamics of Hedge Fund Risk Exposures
Abstract
We propose a new method to model hedge fund risk exposures using relatively high frequency conditioning variables. In a large sample of funds, we find substantial evidence that hedge fund risk exposures vary across and within months, and that capturing within-month variation is more important for hedge funds than for mutual funds. We consider different within-month functional forms, and uncover patterns such as day-of-the-month variation in risk exposures. We also find that changes in portfolio allocations, rather than changes in the risk exposures of the underlying assets, are the main drivers of hedge funds' risk exposure variation.Download Info
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Bibliographic Info
Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 8479.Length:
Date of creation: Jul 2011
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Handle: RePEc:cpr:ceprdp:8479
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Related research
Keywords: beta; hedge funds; mutual funds; performance evaluation; time-varying risk; window-dressing;Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-07-21 (All new papers)
- NEP-BAN-2011-07-21 (Banking)
- NEP-BEC-2011-07-21 (Business Economics)
- NEP-MST-2011-07-21 (Market Microstructure)
- NEP-RMG-2011-07-21 (Risk Management)
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