Assessing hedge fund performance with institutional constraints: evidence from CTA funds
Standard tests for persistence in hedge fund performance are not consistent with investment practices because they ignore performance reporting delay, overlook fund selection standards of institutional investors, and often use portfolios with too many funds. This paper introduces a set of tests base...
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Veröffentlicht in: | Journal of asset management 2017-12, Vol.18 (7), p.547-565 |
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creator | Molyboga, Marat Baek, Seungho Bilson, John F. O. |
description | Standard tests for persistence in hedge fund performance are not consistent with investment practices because they ignore performance reporting delay, overlook fund selection standards of institutional investors, and often use portfolios with too many funds. This paper introduces a set of tests based on a large-scale simulation framework and stochastic dominance methodology. These tests incorporate constraints that are standard practice in the institutional investment field. To illustrate this framework, we apply it to investigate momentum in the performance of hedge funds of the managed futures industry. We find persistence in performance of the top performing fund managers that is significant in statistical and economic terms. Our methodology extends the toolbox of performance persistence tests and results in findings that can be implemented by institutional investors. |
doi_str_mv | 10.1057/s41260-017-0053-8 |
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Our methodology extends the toolbox of performance persistence tests and results in findings that can be implemented by institutional investors.</description><subject>Economics and Finance</subject><subject>Finance</subject><subject>Financial Services</subject><subject>Futures</subject><subject>Hedge funds</subject><subject>Institutional investments</subject><subject>Investment advisors</subject><subject>Mutual funds</subject><subject>Options markets</subject><subject>Original Article</subject><subject>Risk Management</subject><subject>Simulation</subject><issn>1470-8272</issn><issn>1479-179X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kE1LAzEQhoMoWKs_wFvA82qSTTaJt1L8goKXCr2FbDbTprS7NdlV_Pfudj140dPMwPO-DA9C15TcUiLkXeKUFSQjVGaEiDxTJ2hCudQZlXp1etxJpphk5-gipS0hjGpBJmg1S8mnFOo13vhq7TF0dYUPPkIT97Z2Hn-GdoNDndrQdm1oarvDrunPaEPdpnvsP0LlBxBis8fz5exYkS7RGdhd8lc_c4reHh-W8-ds8fr0Mp8tMseJbjMtgXsKtoI8LwvBKwDruQQr89K5XDmACjh45VwBeSl5SZ0WDCovuFPc5VN0M_YeYvPe-dSabdPF_stkGBGF0lwQ9R_Ve9BUEaFZT9GRcrFJKXowhxj2Nn4ZSsyg2YyaTa_ZDJrN0MzGTOrZeu3jr-Y_Q98fqYHO</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Molyboga, Marat</creator><creator>Baek, Seungho</creator><creator>Bilson, John F. 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O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-97f4e1fadf33b654dffae47fa73bcc38cffdf4fe8cc6f3b74b1c952fde54c84c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Economics and Finance</topic><topic>Finance</topic><topic>Financial Services</topic><topic>Futures</topic><topic>Hedge funds</topic><topic>Institutional investments</topic><topic>Investment advisors</topic><topic>Mutual funds</topic><topic>Options markets</topic><topic>Original Article</topic><topic>Risk Management</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Molyboga, Marat</creatorcontrib><creatorcontrib>Baek, Seungho</creatorcontrib><creatorcontrib>Bilson, John F. 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O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing hedge fund performance with institutional constraints: evidence from CTA funds</atitle><jtitle>Journal of asset management</jtitle><stitle>J Asset Manag</stitle><date>2017-12-01</date><risdate>2017</risdate><volume>18</volume><issue>7</issue><spage>547</spage><epage>565</epage><pages>547-565</pages><issn>1470-8272</issn><eissn>1479-179X</eissn><abstract>Standard tests for persistence in hedge fund performance are not consistent with investment practices because they ignore performance reporting delay, overlook fund selection standards of institutional investors, and often use portfolios with too many funds. This paper introduces a set of tests based on a large-scale simulation framework and stochastic dominance methodology. These tests incorporate constraints that are standard practice in the institutional investment field. To illustrate this framework, we apply it to investigate momentum in the performance of hedge funds of the managed futures industry. We find persistence in performance of the top performing fund managers that is significant in statistical and economic terms. Our methodology extends the toolbox of performance persistence tests and results in findings that can be implemented by institutional investors.</abstract><cop>London</cop><pub>Palgrave Macmillan UK</pub><doi>10.1057/s41260-017-0053-8</doi><tpages>19</tpages></addata></record> |
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subjects | Economics and Finance Finance Financial Services Futures Hedge funds Institutional investments Investment advisors Mutual funds Options markets Original Article Risk Management Simulation |
title | Assessing hedge fund performance with institutional constraints: evidence from CTA funds |
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