• DocumentCode
    693477
  • Title

    Market timing of international mutual funds: a decade after the scandal

  • Author

    Cherkassky, Vladimir ; Dhar, Sudipta

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2012
  • fDate
    29-30 March 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In early 2000´s, the mutual funds industry was shaken by a series of scandals involving (legal) market timing and (illegal) late trading of mutual funds. These scandals have resulted in various regulations restricting investors´ ability to exchange their mutual fund holdings. This paper applies data-analytic modeling techniques to test the effectiveness of market timing of international mutual funds. Our results indicate that whereas market timing strategies have been indeed profitable in the past, these strategies do not provide consistent improvement over traditional ´buy-and-hold´ strategy during most recent period of 2009-2011. Ineffectiveness of market timing strategies seems to be directly related to increased volatility and changing statistical characteristics of the financial markets. These changes may warrant critical examination of trading restrictions placed on individual investors. These restrictions put individual investors at a disadvantage vs. institutional investors and hedge funds who invest in the same securities.
  • Keywords
    statistical analysis; stock markets; buy-and-hold strategy; data-analytic modeling techniques; financial markets; international mutual funds; market timing strategies; statistical characteristics; Analytical models; Data models; Mutual funds; Predictive models; Timing; Training; Training data; Inefficient pricing; Vapnik-Chervonenkis (VC) theory.; international mutual funds; interpretation of black-box models; market timing; market volatility; predictive data analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012 IEEE Conference on
  • Conference_Location
    New York, NY
  • ISSN
    PENDING
  • Print_ISBN
    978-1-4673-1802-0
  • Electronic_ISBN
    PENDING
  • Type

    conf

  • DOI
    10.1109/CIFEr.2012.6914703
  • Filename
    6914703