This paper investigates mega hedge fund management companies that collectively manage over 50% of the industry's assets, incorporating previously unavailable data from those that do not report to commercial databases. We find similarities among mega firms that report performance to commercial databases compared with those that do not. We show that the largest divergences between the performance of reporting and nonreporting mega firms can be traced to differential exposure to credit markets. Thus, the performance of hard-to-observe mega firms can be inferred from observable data. This conclusion is robust to delisting bias and the presence of serially correlated returns. (c) 2013 Elsevier B.V. All rights reserved.
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Rutgers State Univ, Rutgers Business Sch, Newark, NJ USARutgers State Univ, Rutgers Business Sch, Newark, NJ USA
Brick, Ivan E.
Chen, Yuzi
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Cent Univ Finance & Econ, Sch Finance, Beijing, Peoples R ChinaRutgers State Univ, Rutgers Business Sch, Newark, NJ USA
Chen, Yuzi
Kang, Jun-Koo
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Nanyang Technol Univ, Nanyang Business Sch, Singapore, SingaporeRutgers State Univ, Rutgers Business Sch, Newark, NJ USA
Kang, Jun-Koo
Kim, Jin-Mo
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Rutgers State Univ, Rutgers Business Sch, Newark, NJ USA
Rutgers State Univ, Rutgers Business Sch, Piscataway, NJ 08854 USARutgers State Univ, Rutgers Business Sch, Newark, NJ USA