论文信息 - Data Envelopment Analysis of Morningstar's Small-Cap Mutual Funds

Data Envelopment Analysis of Morningstar's Small-Cap Mutual Funds

Data Envelopment Analysis (DEA) is applied to the Morningstar 500's small-cap mutual funds to identify those that are efficient or inefficient in a production theory sense. That is, this study examines the efficiency of mutual fund portfolio management, rather than the typical analysis of fund performance. In addition, the descriptive variables—investment style attributes—that differ significantly between efficient and inefficient funds are identified, and the nature of these relationships examined. This study follows Haslem and Scheraga (2003) that applied DEA to Morningstar's large-cap funds.

John A. Haslem | C. Scheraga

[1] Clyde Young Kramer,et al. Extension of multiple range tests to group means with unequal numbers of replications , 1956 .

[2] D. Hancock. A model of the financial firm with imperfect asset and deposit elasticities , 1986 .

[3] Preyas S. Desai,et al. Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach , 1997 .

[4] John C. Bogle. Common Sense on Mutual Funds: New Imperatives for the Intelligent Investor , 1999 .

[5] David A. Latzko. ECONOMIES OF SCALE IN MUTUAL FUND ADMINISTRATION , 1999 .

[6] John A. Haslem,et al. DEA Efficiency Profiles of U.S. Banks Operating Internationally , 1999 .

[7] Antonella Basso,et al. A Data Envelopment Analysis Approach to Measure the Mutual Fund Performance , 2001, Eur. J. Oper. Res..

[8] John A. Haslem. Mutual Funds: Risk and Performance Analysis for Decision Making , 2017 .

[9] John A. Haslem,et al. Data Envelopment Analysis of Morningstar's Large-Cap Mutual Funds , 2003 .