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Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach

In: Data Envelopment Analysis

Author

Listed:
  • I. M. Premachandra

    (School of Business University of Otago)

  • Joe Zhu

    (Nanjing Audit University
    School of Business, Worcester Polytechnic Institute)

  • John Watson

    (Monash University)

  • Don U. A. Galagedera

    (Monash University)

Abstract

The objective of this chapter is twofold. First, we present a comprehensive review of the DEA literature that has evaluated mutual fund performance. Second, we present a two-stage DEA model that decomposes the overall efficiency of a decision-making unit into two components and demonstrate its applicability by assessing the relative performance of 66 large mutual fund families in the US over the period 1993–2008. By decomposing the overall efficiency into operational management efficiency and portfolio management efficiency components, we reveal the best performers, the families that deteriorated in performance, and those that improved in their performance over the sample period. We also make frontier projections for poorly performing mutual fund families and highlight how the portfolio managers have managed their funds relative to the others during financial crisis periods.

Suggested Citation

  • I. M. Premachandra & Joe Zhu & John Watson & Don U. A. Galagedera, 2016. "Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 165-228, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-7684-0_7
    DOI: 10.1007/978-1-4899-7684-0_7
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    Cited by:

    1. Carlucci, Fabio & Corcione, Carlo & Mazzocchi, Paolo & Trincone, Barbara, 2021. "The role of logistics in promoting Italian agribusiness: The Belt and Road Initiative case study," Land Use Policy, Elsevier, vol. 108(C).
    2. Pejman Peykani & Ali Emrouznejad & Emran Mohammadi & Jafar Gheidar-Kheljani, 2024. "A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty," Annals of Operations Research, Springer, vol. 339(3), pages 1149-1175, August.
    3. Catarina Alexandra Neves Proença & Maria Elisabete Duarte Neves & Maria Castelo Baptista Gouveia & Mara Teresa Silva Madaleno, 2023. "Technological, healthcare and consumer funds efficiency: influence of COVID-19," Operational Research, Springer, vol. 23(2), pages 1-42, June.
    4. Pablo Solórzano-Taborga & Ana Belén Alonso-Conde & Javier Rojo-Suárez, 2020. "Data Envelopment Analysis and Multifactor Asset Pricing Models," IJFS, MDPI, vol. 8(2), pages 1-18, April.
    5. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.

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