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Primary Article

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

John A. Haslem and Carl A. Scheraga
The Journal of Investing Winter 2003, 12 (4) 41-48; DOI: https://doi.org/10.3905/joi.2003.319566
John A. Haslem
Professor emeritus of finance at the Robert H. Smith School of Business, University of Maryland, College Park.
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  • For correspondence: jhaslem@rhsmith.umd.edu
Carl A. Scheraga
Associate professor of business strategy and technology management at the Dolan School of Business, Fairfield University, Fairfield, CT.
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Abstract

The main purpose of this study is to identify the large-cap mutual funds in the Morningstar 500 that are efficient or inefficient as determined by data envelopment analysis (DEA). The second purpose is to identify the financial variables that differ significantly between efficient and inefficient funds and determine the nature of these relationships. There are identified input/output and profile variables that are significantly different between the DEA performance-efficient and inefficient large-cap mutual funds. The variables associated with efficient funds are relatively conservative in nature, not aggressive, consistent with a characterization of the investment style of large-cap DEA performance-efficient funds as predominantly value rather than growth.

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The Journal of Investing
Vol. 12, Issue 4
Winter 2003
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Data Envelopment Analysis of Morningstar's Large-Cap Mutual Funds
John A. Haslem, Carl A. Scheraga
The Journal of Investing Nov 2003, 12 (4) 41-48; DOI: 10.3905/joi.2003.319566

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Data Envelopment Analysis of Morningstar's Large-Cap Mutual Funds
John A. Haslem, Carl A. Scheraga
The Journal of Investing Nov 2003, 12 (4) 41-48; DOI: 10.3905/joi.2003.319566
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