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The efficiency of mutual fund companies: Evidence from an innovative network SBM approach

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  • Sánchez-González, Carlos
  • Sarto, José Luis
  • Vicente, Luis

Abstract

This paper is the first DEA (Data Envelopment Analysis) evaluation of the efficiency of a sample of mutual fund companies in a large Euro fund industry, i.e. Spain. Our novel network model links the efficiency of the core activities (portfolio management and marketing/distribution) of a mutual fund company to the efficiency of its operational management function. Our results highlight the important networking effects at the marketing stage and question the prime role of portfolio management skills in the overall efficiency of a mutual fund company. The evaluation of robust efficiency clusters indicates that the efficiency rankings obtained with our network model persist significantly along our sample period. Finally, the application of the SBM (Slacks-Based Measure) Variation III to our network model allows us to identify a large number of globally inefficient but locally efficient companies with reference to competitors with similar management resources.

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  • Sánchez-González, Carlos & Sarto, José Luis & Vicente, Luis, 2017. "The efficiency of mutual fund companies: Evidence from an innovative network SBM approach," Omega, Elsevier, vol. 71(C), pages 114-128.
    • Handle: RePEc:eee:jomega:v:71:y:2017:i:c:p:114-128
    DOI: 10.1016/j.omega.2016.10.003
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    3. Mohammad Nourani & Qian Long Kweh & Irene Wei Kiong Ting & Wen-Min Lu & Anna Strutt, 2022. "Evaluating traditional, dynamic and network business models: an efficiency-based study of Chinese insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 905-943, October.
    4. Sevgi Eda Tuzcu & Emrah Ertugay, 2020. "Is size an input in the mutual fund performance evaluation with DEA?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(4), pages 635-659, December.
    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.
    6. Galagedera, Don U.A. & Fukuyama, Hirofumi & Watson, John & Tan, Eric K.M., 2020. "Do mutual fund managers earn their fees? New measures for performance appraisal," European Journal of Operational Research, Elsevier, vol. 287(2), pages 653-667.
    7. 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.
    8. Lin, Sheng-Wei & Lu, Wen-Min, 2024. "Discretionary investment managers evaluation in pension fund: Shared input dynamic network DEA approach," Omega, Elsevier, vol. 127(C).
    9. Draženović Bojana Olgić & Hodžić Sabina & Maradin Dario, 2019. "The Efficiency of Mandatory Pension Funds: Case of Croatia," South East European Journal of Economics and Business, Sciendo, vol. 14(2), pages 82-94, December.
    10. Gimeno, Ruth & Lobán, Lidia & Vicente, Luis, 2020. "A neural approach to the value investing tool F-Score," Finance Research Letters, Elsevier, vol. 37(C).

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