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Markus Schmid
Title
Prof. Dr.
Last Name
Schmid
First name
Markus
Email
markus.schmid@unisg.ch
Phone
+41 71 224 7001
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1 - 3 of 3
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PublicationHas Hedge Fund Alpha Disappeared?This paper investigates the alpha generation of the hedge fund industry based on a recent sample compiled from the Lipper/TASS database covering the time period from January 1994 to September 2008. We find a positive average hedge fund alpha in the cross-section for the majority of strategies and a positive and significant alpha for roughly half of all funds. Moreover, the alpha of three-quarter of the strategy indices is positive and significant in the time series. A comparison of a factor model in which the risk factors are selected based on a stepwise regression approach and the widely used factor model proposed by Fung and Hsieh (2004) reveals that the estimated alpha is robust with respect to the choice of the factor model. In contrast to prior research, we find no evidence of a decreasing hedge fund alpha over time. Moreover, based on our sample, we cannot confirm prior evidence pointing to capacity constraints in the hedge fund industry.Type: journal articleJournal: Journal of Investment Management JOIMVolume: 9Issue: 1
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PublicationHedge Fund Characteristics and Performance PersistenceIn this paper, we investigate the performance persistence of hedge funds over time horizons between 6 and 36 months based on a merged sample from the Lipper/TASS and CISDM databases for the time period from 1994 to 2008. Unlike previous literature, we use a panel probit regression approach to identify fund characteristics that are significantly related to performance persistence. We then investigate the performance of two-way sorted portfolios where sorting is based on past performance and one of the additional fund characteristics identified as persistence-enhancing in the probit analysis. We find statistically and economically significant performance persistence for time horizons of up to 36 months. Although we identify several fund characteristics that are strongly correlated with the probability of observing performance persistence, we find only one fund characteristic, a strategy distinctiveness index that attempts to measure manager skills and the uniqueness of the hedge fund's trading strategies, to have the ability to systematically improve performance persistence up to a time horizon of 24 months. The economic magnitude of this improvement amounts to a sizeable increase in alpha by approximately 4.0% and 2.3% p.a. for annual and biennial rebalancing, respectively.Type: journal articleJournal: European Financial ManagementIssue: early view
Scopus© Citations 19 -
PublicationHedge Fund Regulation and Misreported ReturnsIn this paper, we investigate the performance persistence of hedge funds over time horizons between 6 and 36 months based on a merged sample from the Lipper/TASS and CISDM databases for the time period from 1994 to 2008. Unlike previous literature, we use a panel probit regression approach to identify fund characteristics that are significantly related to performance persistence. We then investigate the performance of two-way sorted portfolios where sorting is based on past performance and one of the additional fund characteristics identified as persistence-enhancing in the probit analysis. We find statistically and economically significant performance persistence for time horizons of up to 36 months. Although we identify several fund characteristics that are strongly correlated with the probability of observing performance persistence, we find only one fund characteristic, a strategy distinctiveness index that attempts to measure manager skills and the uniqueness of the hedge fund's trading strategies, to have the ability to systematically improve performance persistence up to a time horizon of 24 months. The economic magnitude of this improvement amounts to a sizeable increase in alpha by approximately 4.0% and 2.3% p.a. for annual and biennial rebalancing, respectively. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1650232&Type: journal articleJournal: European Financial ManagementVolume: 16Issue: 5
Scopus© Citations 31