2008
DOI: 10.1016/j.jbankfin.2008.05.007
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Detecting structural breaks and identifying risk factors in hedge fund returns: A Bayesian approach

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Cited by 35 publications
(19 citation statements)
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References 26 publications
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“…This result contradicts to the recent study of Meligkotsidou and Vrontos (2008) who find that accounting for break points improves predictive accuracy. At first, this finding seems surprising since our in-sample CUSUM tests detect break points in time periods also spotted in previous studies.…”
Section: Prediction Accuracy Of the Break Point Model Specificationcontrasting
confidence: 99%
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“…This result contradicts to the recent study of Meligkotsidou and Vrontos (2008) who find that accounting for break points improves predictive accuracy. At first, this finding seems surprising since our in-sample CUSUM tests detect break points in time periods also spotted in previous studies.…”
Section: Prediction Accuracy Of the Break Point Model Specificationcontrasting
confidence: 99%
“…Regarding the ''Long/Short Equity" strategy our results are mostly in line with the breaks reported by Meligkotsidou and Vrontos (2008), who report that the HFR equity hedge index is subject to structural breaks in the end of 1998 and, depending on the method used, somewhere in the course of 2000. Also corresponding to the results of the mentioned study, our CUSUM test detects a structural break at the end of 1999 for ''Emerging Markets" hedge funds.…”
Section: Prediction Accuracy Of the Break Point Model Specificationsupporting
confidence: 89%
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“…In order to analyze extreme market events and changing return patterns more closely, we follow Fung and Hsieh (2004) and Fung et al (2008) and use a modified CUSUM test to find structural breakpoints in factor loadings (see Meligkotsidou and Vrontos (2008) for a more detailed analysis of structural breaks in hedge fund returns). Fung and Hsieh (2004) as well as Fung et al (2008) find that structural breaks coincide with extreme market events (in their case the collapse of Long-Term Capital Management in September 1998 and the peak of the technology bubble in March 2000) and conclude that these events might affect managers' risktaking behavior.…”
Section: Performance Measurement Results For Different Subperiodsmentioning
confidence: 99%