IDEAS home Printed from https://ideas.repec.org/p/cte/wbrepe/wb087616.html
   My bibliography  Save this paper

The value of coskewness in evaluating mutual funds

Author

Listed:
  • Moreno, David
  • Rodríguez, Rosa

Abstract

Recent asset pricing studies demonstrate the relevance of incorporating the coskewness in Asset Pricing Models, and illustrate how this component helps to explain the time variation of ex-ante market risk premiums. This paper analyzes the role of coskewness in mutual funds performance evaluation. We find evidence that adding a coskewness factor is economically and statistically significant. We document that some managers are managing the coskewness and show, in general, a persistent behaviour on time in their coskewness policy. One of the most striking results is that many negative (positive) alpha funds measured relative to the CAPM risk adjustments would be reclassified as positive (negative) alpha funds using a model with coskewness. Therefore, a ranking of funds based on risk adjusted returns without considering coskewness would generate an erroneous classification. Moreover, some fund characteristics, such as the turnover ratio or the category, are related to the likelihood of managing coskewness.

Suggested Citation

  • Moreno, David & Rodríguez, Rosa, 2008. "The value of coskewness in evaluating mutual funds," DEE - Working Papers. Business Economics. WB wb087616, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  • Handle: RePEc:cte:wbrepe:wb087616
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/bitstream/handle/10016/3832/wb087616.pdf?sequence=1
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klemkosky, Robert C., 1973. "The Bias in Composite Performance Measures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(3), pages 505-514, June.
    2. 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.
    3. Christie-David, Rohan & Chaudhry, Mukesh, 2001. "Coskewness and cokurtosis in futures markets," Journal of Empirical Finance, Elsevier, vol. 8(1), pages 55-81, March.
    4. Chen, Zhiwu & Knez, Peter J, 1996. "Portfolio Performance Measurement: Theory and Applications," Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 511-555.
    5. Y. Peter Chung & Michael J. Schill, 2006. "Asset Pricing When Returns Are Nonnormal: Fama-French Factors versus Higher-Order Systematic Comoments," The Journal of Business, University of Chicago Press, vol. 79(2), pages 923-940, March.
    6. Jennifer Lynch Koski & Jeffrey Pontiff, 1999. "How Are Derivatives Used? Evidence from the Mutual Fund Industry," Journal of Finance, American Finance Association, vol. 54(2), pages 791-816, April.
    7. Campbell R. Harvey & Akhtar Siddique, 2000. "Conditional Skewness in Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 55(3), pages 1263-1295, June.
    8. Kraus, Alan & Litzenberger, Robert H, 1976. "Skewness Preference and the Valuation of Risk Assets," Journal of Finance, American Finance Association, vol. 31(4), pages 1085-1100, September.
    9. Markowitz, Harry M, 1991. "Foundations of Portfolio Theory," Journal of Finance, American Finance Association, vol. 46(2), pages 469-477, June.
    10. Prakash, Arun J & Bear, Robert M, 1986. "A Simplifying Performance Measure Recognizing Skewness," The Financial Review, Eastern Finance Association, vol. 21(1), pages 135-144, February.
    11. 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.
    12. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    13. Joel M. Vanden, 2006. "Option Coskewness and Capital Asset Pricing," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1279-1320.
    14. Giovanni Barone Adesi & Patrick Gagliardini & Giovanni Urga, 2004. "Testing Asset Pricing Models With Coskewness," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 474-485, October.
    15. Ferson, Wayne E & Schadt, Rudi W, 1996. "Measuring Fund Strategy and Performance in Changing Economic Conditions," Journal of Finance, American Finance Association, vol. 51(2), pages 425-461, June.
    16. Christopherson, Jon A & Ferson, Wayne E & Glassman, Debra A, 1998. "Conditioning Manager Alphas on Economic Information: Another Look at the Persistence of Performance," The Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 111-142.
    17. 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.
    18. Smith, Daniel R., 2007. "Conditional coskewness and asset pricing," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 91-119, January.
    19. Ang, James S. & Chua, Jess H., 1979. "Composite Measures for the Evaluation of Investment Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 14(2), pages 361-384, June.
    20. Timothy W. Vines & Cheng-Ho Hsieh & John J. Hatem, 1994. "The Role of Systematic Covariance and Coskewness in the Pricing of Real Estate: Evidence from Equity REITs," Journal of Real Estate Research, American Real Estate Society, vol. 9(4), pages 421-430.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moreno, David & Rodríguez, Rosa, 2009. "The value of coskewness in mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1664-1676, September.
    2. I-Hsuan Ethan Chiang, 2016. "Skewness And Coskewness In Bond Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 39(2), pages 145-178, June.
    3. Dheeraj Misra & Sushma Vishnani & Ankit Mehrotra, 2019. "Four-moment CAPM Model: Evidence from the Indian Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 137-166, April.
    4. Dong‐Hyun Ahn & H. Henry Cao & Stéphane Chrétien, 2009. "Portfolio Performance Measurement: a No Arbitrage Bounds Approach," European Financial Management, European Financial Management Association, vol. 15(2), pages 298-339, March.
    5. Jonathan Fletcher & Patricia Ntozi-Obwale, 2009. "Exploring the Conditional Performance of U.K. Unit Trusts," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(1), pages 21-44, August.
    6. François-Éric Racicot & Raymond Théoret, 2009. "Integrating volatility factors in the analysis of the hedge fund alpha puzzle," Journal of Asset Management, Palgrave Macmillan, vol. 10(1), pages 37-62, April.
    7. Yee Loon, 2011. "Model uncertainty, performance persistence and flows," Review of Quantitative Finance and Accounting, Springer, vol. 36(2), pages 153-205, February.
    8. Chi-Hsiou Hung, 2007. "Momentum, Size and Value Factors versus Systematic Co-moments in Stock Returns," Working Papers 2007_02, Durham University Business School.
    9. Jonathan Fletcher & Andrew Marshall, 2005. "An Empirical Examination of U.K. International Unit Trust Performance," Journal of Financial Services Research, Springer;Western Finance Association, vol. 27(2), pages 183-206, April.
    10. Ferson, Wayne E., 2013. "Investment Performance: A Review and Synthesis," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 969-1010, Elsevier.
    11. Jonathan Fletcher & David Forbes, 2002. "U.K. Unit Trust Performance: Does it Matter Which Benchmark or Measure is Used?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 21(3), pages 195-218, June.
    12. Lehmann, Bruce & Timmermann, Allan, 2007. "Performance measurement and evaluation," LSE Research Online Documents on Economics 24505, London School of Economics and Political Science, LSE Library.
    13. Grønborg, Niels S. & Lunde, Asger & Timmermann, Allan & Wermers, Russ, 2021. "Picking funds with confidence," Journal of Financial Economics, Elsevier, vol. 139(1), pages 1-28.
    14. Kingsley Fong & David R. Gallagher & Adrian D. Lee, 2008. "Benchmarking benchmarks: measuring characteristic selectivity using portfolio holdings data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(5), pages 761-781, December.
    15. Francesco Lisi, 2011. "Dicing with the market: randomized procedures for evaluation of mutual funds," Quantitative Finance, Taylor & Francis Journals, vol. 11(2), pages 163-172.
    16. Ayadi, Mohamed A. & Cao, Xu & Lazrak, Skander & Wang, Yan, 2019. "Do idiosyncratic skewness and kurtosis really matter?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    17. Chune Young Chung & Doojin Ryu & Kainan Wang & Blerina Bela Zykaj, 2018. "Optionable Stocks and Mutual Fund Performance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 390-412, March.
    18. Lubos Pastor & Robert F. Stambaugh, "undated". "Evaluating and Investing in Equity Mutual Funds," CRSP working papers 516, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
    19. Alda, Mercedes & Andreu, Laura & Sarto, José Luis, 2017. "Learning about individual managers’ performance in UK pension funds: The importance of specialization," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 654-667.
    20. Robert Kosowski & Allan Timmermann & Russ Wermers & Hal White, 2006. "Can Mutual Fund “Stars” Really Pick Stocks? New Evidence from a Bootstrap Analysis," Journal of Finance, American Finance Association, vol. 61(6), pages 2551-2595, December.

    More about this item

    Keywords

    Mutual funds;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cte:wbrepe:wb087616. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Poveda (email available below). General contact details of provider: http://www.business.uc3m.es/es/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.