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Do mutual fund managers earn their fees? New measures for performance appraisal

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  • Galagedera, Don U.A.
  • Fukuyama, Hirofumi
  • Watson, John
  • Tan, Eric K.M.

Abstract

This paper proposes a methodology to assess whether a mutual fund (MF) manages its costs and expenses efficiently, relative to its peers, in generating returns to investors. We consider incurred costs and expenses as MF disbursements. We develop a network data envelopment analysis model to assess MF performance from disbursement management perspective and propose new measures of MF performance - disbursement efficiency and disbursement utilization. We do this by conceptualising overall MF management process as a two-stage production process. In a sample of 1,706 U.S. equity MFs, we find that disbursement management performance relative to their peers (disbursement efficiency) is generally poor. Less than one per cent of the MFs are disbursement efficient and they are more likely to be growth funds. MFs that charge high fees perform relatively poorly in disbursement management. Large funds, on average, outperform mid-size and small funds in technical efficiency. According to our modelling framework, technical efficiency does not imply disbursement efficiency. Approximately fifteen per cent of technical efficient MFs are disbursement efficient. This is an indication that MF disbursement inefficiency is an issue that require attention of all stakeholders. Disbursement under-utilization and technical inefficiency explain disbursement inefficiency. For disbursement inefficient MFs, we provide pathways to become efficient in disbursement management. We validate the proposed MF performance measures empirically.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:287:y:2020:i:2:p:653-667
    DOI: 10.1016/j.ejor.2020.04.009
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    1. Basso, Antonella & Funari, Stefania, 2001. "A data envelopment analysis approach to measure the mutual fund performance," European Journal of Operational Research, Elsevier, vol. 135(3), pages 477-492, December.
    2. Walter Briec & Kristiaan Kerstens & Octave Jokung, 2007. "Mean-Variance-Skewness Portfolio Performance Gauging: A General Shortage Function and Dual Approach," Management Science, INFORMS, vol. 53(1), pages 135-149, January.
    3. 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.
    4. Vidal, Marta & Vidal-García, Javier & Lean, Hooi Hooi & Uddin, Gazi Salah, 2015. "The relation between fees and return predictability in the mutual fund industry," Economic Modelling, Elsevier, vol. 47(C), pages 260-270.
    5. W. Briec & K. Kerstens & J. B. Lesourd, 2004. "Single-Period Markowitz Portfolio Selection, Performance Gauging, and Duality: A Variation on the Luenberger Shortage Function," Journal of Optimization Theory and Applications, Springer, vol. 120(1), pages 1-27, January.
    6. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1703, August.
    7. Ippolito, Richard A, 1992. "Consumer Reaction to Measures of Poor Quality: Evidence from the Mutual Fund Industry," Journal of Law and Economics, University of Chicago Press, vol. 35(1), pages 45-70, April.
    8. Louis K. C. Chan & Hsiu-Lang Chen & Josef Lakonishok, 2002. "On Mutual Fund Investment Styles," Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1407-1437.
    9. Brandouy, Olivier & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2015. "Frontier-based vs. traditional mutual fund ratings: A first backtesting analysis," European Journal of Operational Research, Elsevier, vol. 242(1), pages 332-342.
    10. Galagedera, Don U.A. & Roshdi, Israfil & Fukuyama, Hirofumi & Zhu, Joe, 2018. "A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds," Omega, Elsevier, vol. 77(C), pages 168-179.
    11. Premachandra, I.M. & Zhu, Joe & Watson, John & Galagedera, Don U.A., 2012. "Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3302-3317.
    12. Ľuboš Pástor & Robert F. Stambaugh & Lucian A. Taylor, 2017. "Do Funds Make More When They Trade More?," Journal of Finance, American Finance Association, vol. 72(4), pages 1483-1528, August.
    13. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock‐Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1695, August.
    14. Anthony W. Lynch & David K. Musto, 2003. "How Investors Interpret Past Fund Returns," Journal of Finance, American Finance Association, vol. 58(5), pages 2033-2058, October.
    15. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    16. Narayanan Jayaraman & Ajay Khorana & Edward Nelling, 2002. "An Analysis of the Determinants and Shareholder Wealth Effects of Mutual Fund Mergers," Journal of Finance, American Finance Association, vol. 57(3), pages 1521-1551, June.
    17. Banker, Rajiv D. & Zheng, Zhiqiang (Eric) & Natarajan, Ram, 2010. "DEA-based hypothesis tests for comparing two groups of decision making units," European Journal of Operational Research, Elsevier, vol. 206(1), pages 231-238, October.
    18. Golec, Joseph H., 1996. "The effects of mutual fund managers' characteristics on their portfolio performance, risk and fees," Financial Services Review, Elsevier, vol. 5(2), pages 133-147.
    19. Yoon K. Choi & B.P.S. Murthi, 2001. "Relative Performance Evaluation of Mutual Funds: A Non-Parametric Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 853-876.
    20. Edwin J. Elton & Martin J. Gruber & Christopher R. Blake, 2003. "Incentive Fees and Mutual Funds," Journal of Finance, American Finance Association, vol. 58(2), pages 779-804, April.
    21. Judith Chevalier & Glenn Ellison, 1999. "Are Some Mutual Fund Managers Better Than Others? Cross‐Sectional Patterns in Behavior and Performance," Journal of Finance, American Finance Association, vol. 54(3), pages 875-899, June.
    22. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    23. Chevalier, Judith & Ellison, Glenn, 1997. "Risk Taking by Mutual Funds as a Response to Incentives," Journal of Political Economy, University of Chicago Press, vol. 105(6), pages 1167-1200, December.
    24. Karen L. Benson & Robert W. Faff & Tom Smith, 2010. "The simultaneous relation between fund flows and returns," Australian Journal of Management, Australian School of Business, vol. 35(1), pages 51-68, April.
    25. Erik R. Sirri & Peter Tufano, 1998. "Costly Search and Mutual Fund Flows," Journal of Finance, American Finance Association, vol. 53(5), pages 1589-1622, October.
    26. Ajay Khorana & Henri Servaes & Peter Tufano, 2009. "Mutual Fund Fees Around the World," Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1279-1310.
    27. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    28. 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.
    29. Guercio, Diane Del & Tkac, Paula A., 2002. "The Determinants of the Flow of Funds of Managed Portfolios: Mutual Funds vs. Pension Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(4), pages 523-557, December.
    30. Antonella Basso & Stefania Funari, 2016. "DEA Performance Assessment of Mutual Funds," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 229-287, Springer.
    31. Gottesman, Aron A. & Morey, Matthew R., 2006. "Manager education and mutual fund performance," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 145-182, March.
    32. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    33. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
    34. Fare, Rolf & Grosskopf, Shawna & Kokkelenberg, Edward C, 1989. "Measuring Plant Capacity, Utilization and Technical Change: A Nonparametric Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 655-666, August.
    35. Berkowitz, Michael K. & Qiu, Jiaping, 2003. "Ownership, risk and performance of mutual fund management companies," Journal of Economics and Business, Elsevier, vol. 55(2), pages 109-134.
    36. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    37. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.
    38. Joseph Chen & Harrison Hong & Ming Huang & Jeffrey D. Kubik, 2004. "Does Fund Size Erode Mutual Fund Performance? The Role of Liquidity and Organization," American Economic Review, American Economic Association, vol. 94(5), pages 1276-1302, December.
    39. Berk, Jonathan B. & van Binsbergen, Jules H., 2015. "Measuring skill in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 118(1), pages 1-20.
    40. Javier Vidal-García & Marta Vidal & Sabri Boubaker & Majdi Hassan, 2018. "The efficiency of mutual funds," Annals of Operations Research, Springer, vol. 267(1), pages 555-584, August.
    41. Murthi, B. P. S. & Choi, Yoon K. & Desai, Preyas, 1997. "Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 98(2), pages 408-418, April.
    42. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    43. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    44. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    45. Oh, Natalie Y. & Parwada, Jerry T. & Tan, Eric K. M., 2017. "Should Indirect Brokerage Fees Be Capped? Lessons from Mutual Fund Marketing and Distribution Expenses," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 781-809, April.
    46. Yoon K. Choi & B.P.S. Murthi, 2001. "Relative Performance Evaluation of Mutual Funds: A Non‐Parametric Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 853-876, September.
    47. Andreu, Laura & Serrano, Miguel & Vicente, Luis, 2019. "Efficiency of mutual fund managers: A slacks-based manager efficiency index," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1180-1193.
    48. Mollick, André Varella & Assefa, Tibebe Abebe, 2013. "U.S. stock returns and oil prices: The tale from daily data and the 2008–2009 financial crisis," Energy Economics, Elsevier, vol. 36(C), pages 1-18.
    49. Amit Goyal & Sunil Wahal, 2008. "The Selection and Termination of Investment Management Firms by Plan Sponsors," Journal of Finance, American Finance Association, vol. 63(4), pages 1805-1847, August.
    50. Rashmi Malhotra & D.K. Malhotra & C. Andrew Lafond, 2009. "Analysing financial services industry using data envelopment analysis," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 1(3), pages 217-246.
    51. Joshua M. Pollet & Mungo Wilson, 2008. "How Does Size Affect Mutual Fund Behavior?," Journal of Finance, American Finance Association, vol. 63(6), pages 2941-2969, December.
    52. Chen, Fan & Qian, Meifen & Sun, Ping-Wen & Yu, Bin, 2018. "In search for managerial skills beyond common performance measures," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 224-239.
    53. Morey, Matthew R. & Morey, Richard C., 1999. "Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking," Omega, Elsevier, vol. 27(2), pages 241-258, April.
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    More about this item

    Keywords

    Data envelopment analysis; Performance appraisal; Mutual fund disbursements; Disbursement efficiency;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G2 - Financial Economics - - Financial Institutions and Services

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