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The role of fund size in the performance of mutual funds assessed with DEA models

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  • Antonella Basso
  • Stefania Funari

Abstract

This contribution studies the role of the size of mutual funds in the evaluation of the fund performance with a data envelopment analysis (DEA) approach, with the aim of studying the issue from different angles and with different statistical tools and investigating the presence of a positive or negative size effect in mutual funds market. Firstly, we discuss the role of fund size in the performance evaluation and wonder whether it is appropriate to include size information among the variables of DEA models. Secondly, we analyse the presence of a relationship between the performance scores and the size of mutual funds using different statistical tests and carry out an empirical investigation on a set of European equity mutual funds. Thirdly, we study scale efficiency and investigate whether the European mutual funds analysed exhibit constant, increasing or decreasing returns to scale.

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  • Antonella Basso & Stefania Funari, 2017. "The role of fund size in the performance of mutual funds assessed with DEA models," The European Journal of Finance, Taylor & Francis Journals, vol. 23(6), pages 457-473, May.
    • Handle: RePEc:taf:eurjfi:v:23:y:2017:i:6:p:457-473
    DOI: 10.1080/1351847X.2016.1164209
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    2. 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.
    3. Jaydip Sen, 2018. "Stock composition of mutual funds and fund style: a time series decomposition approach towards testing for consistency," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 4(3), pages 235-292.
    4. 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.
    5. Giuseppe Galloppo, 2021. "Size," Springer Books, in: Asset Allocation Strategies for Mutual Funds, chapter 0, pages 151-190, Springer.
    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. Lu, Shuai & Li, Shouwei, 2023. "Is institutional herding efficient? Evidence from an investment efficiency and informational network perspective," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    8. Zeng, Ximei & Zhou, Zhongbao & Gong, Yeming & Liu, Wenbin, 2022. "A data envelopment analysis model integrated with portfolio theory for energy mix adjustment: Evidence in the power industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    9. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.
    10. Xiao, Helu & Ren, Tiantian & Zhou, Zhongbao & Liu, Wenbin, 2021. "Parameter uncertainty in estimation of portfolio efficiency: Evidence from an interval diversification-consistent DEA approach," Omega, Elsevier, vol. 103(C).
    11. Zhou, Zhongbao & Xiao, Helu & Jin, Qianying & Liu, Wenbin, 2018. "DEA frontier improvement and portfolio rebalancing: An application of China mutual funds on considering sustainability information disclosure," European Journal of Operational Research, Elsevier, vol. 269(1), pages 111-131.

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    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • G1 - Financial Economics - - General Financial Markets
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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