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The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US

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  • Daniel Chiew
  • Judy Qiu
  • Sirimon Treepongkaruna
  • Jiping Yang
  • Chenxiao Shi

Abstract

In this paper, we propose an alternative fund rating approach based on the Expected Utility-Entropy (EU-E) decision model, in which the measure of risk for a risky action was axiomatically developed by Luce et al. We examine the ability of this approach as an alternative fund rating approach for its ability to potentially mitigate the drawbacks of the risk measure used in Morningstar ratings, and investigate the ability of the EU-E model based and Morningstar ratings to predict mutual fund performance. Overall, we find that the risk measure used in both models plays a defining role in their ability to predict future fund performance, and that the EU-E model can effectively consider the behavioral decisions of an investor.

Suggested Citation

  • Daniel Chiew & Judy Qiu & Sirimon Treepongkaruna & Jiping Yang & Chenxiao Shi, 2019. "The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-22, April.
    • Handle: RePEc:plo:pone00:0215320
    DOI: 10.1371/journal.pone.0215320
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    References listed on IDEAS

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    1. Paul Gerrans, 2006. "Morningstar ratings and future performance," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(4), pages 605-628, December.
    2. Bechmann, Ken L. & Rangvid, Jesper, 2007. "Rating mutual funds: Construction and information content of an investor-cost based rating of Danish mutual funds," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 662-693, December.
    3. John Watson & James Delaney & Michael Dempsey & J. Wickramanayake, 2016. "Australian superannuation (pension) fund product ratings and performance: A guide for fund managers," Australian Journal of Management, Australian School of Business, vol. 41(2), pages 189-211, May.
    4. Blake, Christopher R. & Morey, Matthew R., 2000. "Morningstar Ratings and Mutual Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 451-483, September.
    5. Caraiani, Petre, 2014. "The predictive power of singular value decomposition entropy for stock market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 571-578.
    6. Kaniel, Ron & Parham, Robert, 2017. "WSJ Category Kings – The impact of media attention on consumer and mutual fund investment decisions," Journal of Financial Economics, Elsevier, vol. 123(2), pages 337-356.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Francesco Lisi & Massimiliano Caporin, 2012. "On the role of risk in the Morningstar rating for mutual funds," Quantitative Finance, Taylor & Francis Journals, vol. 12(10), pages 1477-1486, October.
    9. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    10. Mihály Ormos & Dávid Zibriczky, 2014. "Entropy-Based Financial Asset Pricing," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.
    11. Guercio, Diane Del & Tkac, Paula A., 2008. "Star Power: The Effect of Monrningstar Ratings on Mutual Fund Flow," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(4), pages 907-936, December.
    12. Eling, Martin & Schuhmacher, Frank, 2007. "Does the choice of performance measure influence the evaluation of hedge funds?," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2632-2647, September.
    13. Yang, Jiping & Qiu, Wanhua, 2005. "A measure of risk and a decision-making model based on expected utility and entropy," European Journal of Operational Research, Elsevier, vol. 164(3), pages 792-799, August.
    14. Kenneth R. French, 2008. "Presidential Address: The Cost of Active Investing," Journal of Finance, American Finance Association, vol. 63(4), pages 1537-1573, August.
    15. Buchen, Peter W. & Kelly, Michael, 1996. "The Maximum Entropy Distribution of an Asset Inferred from Option Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(1), pages 143-159, March.
    16. A. Dionisio & R. Menezes & D. A. Mendes, 2006. "An econophysics approach to analyse uncertainty in financial markets: an application to the Portuguese stock market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 161-164, March.
    17. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    18. Phillips, Blake & Pukthuanthong, Kantura & Rau, P. Raghavendra, 2016. "Past Performance May Be an Illusion: Performance, Flows, and Fees in Mutual Funds," Critical Finance Review, now publishers, vol. 5(2), pages 351-398, December.
    19. Maasoumi, Esfandiar & Racine, Jeff, 2002. "Entropy and predictability of stock market returns," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 291-312, March.
    20. Bruce Niendorf & Thomas Ottaway, 2002. "Wealth effects of time variation in investor risk preferences," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(1), pages 77-87, March.
    21. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    22. Ronald T. Wilcox, 2003. "Bargain Hunting or Star Gazing? Investors' Preferences for Stock Mutual Funds," The Journal of Business, University of Chicago Press, vol. 76(4), pages 645-664, October.
    23. George C. Philippatos & Nicolas Gressis, 1975. "Conditions of Equivalence Among E-V, SSD, and E-H Portfolio Selection Criteria: The Case for Uniform, Normal and Lognormal Distributions," Management Science, INFORMS, vol. 21(6), pages 617-625, February.
    24. Huang, Jingjing & Shang, Pengjian & Zhao, Xiaojun, 2012. "Multifractal diffusion entropy analysis on stock volatility in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5739-5745.
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    1. Otero-González, Luis & Durán-Santomil, Pablo, 2021. "Is quantitative and qualitative information relevant for choosing mutual funds?," Journal of Business Research, Elsevier, vol. 123(C), pages 476-488.

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