IDEAS home Printed from https://ideas.repec.org/p/usg/sfwpfi/201817.html
   My bibliography  Save this paper

Risk Factor Exposure Variation and Mutual Fund Performance

Author

Listed:
  • Manuel Ammann

    ()

  • Sebastian Fischer

    ()

  • Florian Weigert

    ()

Abstract

We investigate the relationship between a mutual fund’s variation in systematic risk factor exposures and its future performance. Using a dynamic state space version of Carhart (1997)’s four factor model to capture risk factor variation, we find that funds with volatile risk factor exposures underperform funds with stable risk factor exposures by 147 basis points p.a. This underperformance is neither explained by volatile risk factor loadings of a fund’s equity holdings nor driven by a fund’s forced trading through investor flows. We conclude that fund managers voluntarily attempt to time risk factors, but are unsuccessful at doing so. Our results are important in the light of recent discussions about the predictability of asset pricing risk factors.

Suggested Citation

  • Manuel Ammann & Sebastian Fischer & Florian Weigert, 2018. "Risk Factor Exposure Variation and Mutual Fund Performance," Working Papers on Finance 1817, University of St. Gallen, School of Finance, revised Nov 2018.
  • Handle: RePEc:usg:sfwpfi:2018:17
    as

    Download full text from publisher

    File URL: http://ux-tauri.unisg.ch/RePEc/usg/sfwpfi/WPF-1817.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Grinblatt, Mark & Titman, Sheridan, 1993. "Performance Measurement without Benchmarks: An Examination of Mutual Fund Returns," The Journal of Business, University of Chicago Press, vol. 66(1), pages 47-68, January.
    2. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    3. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    4. repec:bla:finrev:v:52:y:2017:i:4:p:597-626 is not listed on IDEAS
    5. 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.
    6. Marcin Kacperczyk & Amit Seru, 2007. "Fund Manager Use of Public Information: New Evidence on Managerial Skills," Journal of Finance, American Finance Association, vol. 62(2), pages 485-528, April.
    7. Bryan Kelly & Hao Jiang, 2014. "Editor's Choice Tail Risk and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2841-2871.
    8. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    9. Ferson, Wayne & Mo, Haitao, 2016. "Performance measurement with selectivity, market and volatility timing," Journal of Financial Economics, Elsevier, vol. 121(1), pages 93-110.
    10. Laurens Swinkels & Pieter Van Der Sluis, 2006. "Return-based style analysis with time-varying exposures," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 529-552.
    11. Christopher S. Armstrong & Snehal Banerjee & Carlos Corona, 2013. "Factor-Loading Uncertainty and Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 26(1), pages 158-207.
    12. Alexander Puetz & Stefan Ruenzi, 2011. "Overconfidence Among Professional Investors: Evidence from Mutual Fund Managers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(5-6), pages 684-712, June.
    13. Jostova, Gergana & Philipov, Alexander, 2005. "Bayesian Analysis of Stochastic Betas," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(4), pages 747-778, December.
    14. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    15. Blake, David & Lehmann, Bruce N & Timmermann, Allan, 1999. "Asset Allocation Dynamics and Pension Fund Performance," The Journal of Business, University of Chicago Press, vol. 72(4), pages 429-461, October.
    16. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    17. Kim, Sangbae & In, Francis, 2012. "False discoveries in volatility timing of mutual funds," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2083-2094.
    18. Harry Mamaysky & Matthew Spiegel & Hong Zhang, 2007. "Improved Forecasting of Mutual Fund Alphas and Betas," Review of Finance, European Finance Association, vol. 11(3), pages 359-400.
    19. Jennifer Huang & Clemens Sialm & Hanjiang Zhang, 2011. "Risk Shifting and Mutual Fund Performance," Review of Financial Studies, Society for Financial Studies, vol. 24(8), pages 2575-2616.
    20. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    21. Daniel, Kent, et al, 1997. " Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    22. Judith Chevalier & Glenn Ellison, 1999. "Career Concerns of Mutual Fund Managers," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 389-432.
    23. Black, A. & Fraser, P. & Power, D., 1992. "UK unit trust performance 1980-1989: A passive time-varying approach," Journal of Banking & Finance, Elsevier, vol. 16(5), pages 1015-1033, September.
    24. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    25. Harry Mamaysky & Matthew Spiegel & Hong Zhang, 2008. "Estimating the Dynamics of Mutual Fund Alphas and Betas," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 233-264, January.
    26. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    27. Markus K. Brunnermeier & Stefan Nagel, 2004. "Hedge Funds and the Technology Bubble," Journal of Finance, American Finance Association, vol. 59(5), pages 2013-2040, October.
    28. Grinblatt, Mark & Titman, Sheridan D, 1989. "Mutual Fund Performance: An Analysis of Quarterly Portfolio Holdings," The Journal of Business, University of Chicago Press, vol. 62(3), pages 393-416, July.
    29. Malkiel, Burton G, 1995. " Returns from Investing in Equity Mutual Funds 1971 to 1991," Journal of Finance, American Finance Association, vol. 50(2), pages 549-572, June.
    30. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    31. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2014. "Time-Varying Fund Manager Skill," Journal of Finance, American Finance Association, vol. 69(4), pages 1455-1484, August.
    32. 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.
    33. Robert F. Engle, 2016. "Dynamic Conditional Beta," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 14(4), pages 643-667.
    34. François-Éric Racicot & Raymond Théoret, 2010. "Hedge Fund Returns, Kalman Filter, and Errors-in-Variables," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 38(3), pages 377-378, September.
    35. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    36. 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.
    37. Barroso, Pedro & Santa-Clara, Pedro, 2015. "Momentum has its moments," Journal of Financial Economics, Elsevier, vol. 116(1), pages 111-120.
    38. Benos, Evangelos & Jochec, Marek & Nyekel, Victor, 2010. "Can mutual funds time risk factors?," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 509-514, November.
    39. repec:cup:jfinqa:v:53:y:2018:i:03:p:1059-1100_00 is not listed on IDEAS
    40. Giambona, Erasmo & Golec, Joseph, 2009. "Mutual fund volatility timing and management fees," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 589-599, April.
    41. Jiang, George J. & Yao, Tong & Yu, Tong, 2007. "Do mutual funds time the market? Evidence from portfolio holdings," Journal of Financial Economics, Elsevier, vol. 86(3), pages 724-758, December.
    42. Sensoy, Berk A., 2009. "Performance evaluation and self-designated benchmark indexes in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 92(1), pages 25-39, April.
    43. repec:bla:jfinan:v:72:y:2017:i:4:p:1611-1644 is not listed on IDEAS
    44. Chabi-Yo, Fousseni & Ruenzi, Stefan & Weigert, Florian, 2018. "Crash Sensitivity and the Cross Section of Expected Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1059-1100, June.
    45. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
    46. Busse, Jeffrey A, 1999. "Volatility Timing in Mutual Funds: Evidence from Daily Returns," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1009-1041.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Mutual Fund; Market Timing; Factor Timing; Kalman Filter;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:usg:sfwpfi:2018:17. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Geraldine Frei). General contact details of provider: http://edirc.repec.org/data/cfisgch.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.