Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.
Author ORCID Identifier
Open Access Dissertation
Doctor of Philosophy (PhD)
Year Degree Awarded
Month Degree Awarded
Hossein B. Kazemi
Mila Getmansky Sherman
Emily Yucai Wang
Finance and Financial Management
The first chapter analyzes hedge fund activeness and its impact on hedge fund perfor- mance. We propose an innovative method to estimate time-varying risk exposures of hedge funds. The activeness is measured as the time-series average of sum of changes in risk exposures. We examine cross-section and time-series variation of activeness among hedge funds. The activeness can be explained by fund characteristics such as age, lockup period, performance fee, and past performance. Using four performance measures, we find little evidence of active funds outperforming others over the sample period 1994 through 2013. We find that activeness tend to yield better performance only in the pre-2002 period and such effect exists mainly for fund strategies that make directional bets.
Chapter two studies how hedge funds’ activities in exploiting stock anomalies im- pact fund performance. Using a sample of 3024 equity-oriented hedge funds and 10 stock anomalies, we find that hedge funds overall trade on the correct side of the anomalies. The decile 10 portfolio of hedge funds that trade on stock anomalies most intensively out- perform the decile 1 portfolio of hedge funds by 2.16% of Fama-French (1993) alpha per annum and by 0.17 in appraisal ratio per annum. We find that crowdedness of hedge funds exploiting stock anomalies and competition among hedge funds weakens the effectiveness of exploiting stock anomalies in generating risk-adjusted performance.
In the third chapter, we study the importance of unique stock holdings and unreported actions as the source of hedge fund performance. We calculate four holdings-based unique- ness measures. We find that these holdings-based uniqueness measures are not associated with fund alpha and appraisal ratio. The unreported actions, on the contrary, positively pre- dict hedge fund performance. We also find that hedge funds with greater level of unreported actions tend to exhibit less risk and greater return gap.
Zhang, Chi, "Essays on Hedge Funds Performance: Dynamic Risk Exposures, Anomalies, and Unreported Actions" (2016). Doctoral Dissertations. 705.