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9783659524103: Hedge Fund Persistence Performance: Performance persistence of hedge Funds: An analysis of management strategies alternative

Sinopsis

Recent literature has found some evidence of performance persistence in hedge funds. This study investigated whether this persistence varies with fund characteristics over the time period from January 2000 to December 2012. We confront hedge funds by a classification based on their strategy issued from a merged sample from the HFR Hedge funds Indexes databases. We use the benchmarked hedge fund indexes returns against the S&P500 to obtain relative returns. Our sample is composed of monthly data, representing 154 observations. Our aim is to analyze the serial correlation of these corrected dataset by running different tests. After a graphical and an autocorrelation analysis, we run a Runs test and compute the Hurst exponent. These methods are both particularly relevant in the analysis of financial series. Finally, by comparing the results of these different approaches, we identify which strategy generates most persistence.

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Reseña del editor

Recent literature has found some evidence of performance persistence in hedge funds. This study investigated whether this persistence varies with fund characteristics over the time period from January 2000 to December 2012. We confront hedge funds by a classification based on their strategy issued from a merged sample from the HFR Hedge funds Indexes databases. We use the benchmarked hedge fund indexes returns against the S&P500 to obtain relative returns. Our sample is composed of monthly data, representing 154 observations. Our aim is to analyze the serial correlation of these corrected dataset by running different tests. After a graphical and an autocorrelation analysis, we run a Runs test and compute the Hurst exponent. These methods are both particularly relevant in the analysis of financial series. Finally, by comparing the results of these different approaches, we identify which strategy generates most persistence.

Biografía del autor

Kevin BERNAD, graduated in FinancialEconometrics & Applied Statistics (Paris-1Panthéon-Sorbonne), oriented in banking andinsurance. Analyst at BPCE, Paris. Emeline OZHAN,graduated in Financial Markets from Paris IXDauphine and Econometrics from Paris I Panthéon-Sorbonne. Quantitative analyst at Sycamore AssetManagement, Paris.

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Bernad Kevin
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent literature has found some evidence of performance persistence in hedge funds. This study investigated whether this persistence varies with fund characteristics over the time period from January 2000 to December 2012. We confront hedge funds by a classification based on their strategy issued from a merged sample from the HFR Hedge funds Indexes databases. We use the benchmarked hedge fund indexes returns against the S&P500 to obtain relative returns. Our sample is composed of monthly data, representing 154 observations. Our aim is to analyze the serial correlation of these corrected dataset by running different tests. After a graphical and an autocorrelation analysis, we run a Runs test and compute the Hurst exponent. These methods are both particularly relevant in the analysis of financial series. Finally, by comparing the results of these different approaches, we identify which strategy generates most persistence. 56 pp. Englisch. Nº de ref. del artículo: 9783659524103

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ISBN 10: 3659524107 ISBN 13: 9783659524103
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent literature has found some evidence of performance persistence in hedge funds. This study investigated whether this persistence varies with fund characteristics over the time period from January 2000 to December 2012. We confront hedge funds by a classification based on their strategy issued from a merged sample from the HFR Hedge funds Indexes databases. We use the benchmarked hedge fund indexes returns against the S&P500 to obtain relative returns. Our sample is composed of monthly data, representing 154 observations. Our aim is to analyze the serial correlation of these corrected dataset by running different tests. After a graphical and an autocorrelation analysis, we run a Runs test and compute the Hurst exponent. These methods are both particularly relevant in the analysis of financial series. Finally, by comparing the results of these different approaches, we identify which strategy generates most persistence. Nº de ref. del artículo: 9783659524103

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Taschenbuch. Condición: Neu. Neuware -Recent literature has found some evidence of performance persistence in hedge funds. This study investigated whether this persistence varies with fund characteristics over the time period from January 2000 to December 2012. We confront hedge funds by a classification based on their strategy issued from a merged sample from the HFR Hedge funds Indexes databases. We use the benchmarked hedge fund indexes returns against the S&P500 to obtain relative returns. Our sample is composed of monthly data, representing 154 observations. Our aim is to analyze the serial correlation of these corrected dataset by running different tests. After a graphical and an autocorrelation analysis, we run a Runs test and compute the Hurst exponent. These methods are both particularly relevant in the analysis of financial series. Finally, by comparing the results of these different approaches, we identify which strategy generates most persistence.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Nº de ref. del artículo: 9783659524103

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