IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v12y2005i13p829-834.html
   My bibliography  Save this article

Detecting mutual fund timing ability using the threshold model

Author

Listed:
  • Ping-Huang Chou
  • Huimin Chung
  • Erh-Yin Sun

Abstract

This paper proposes a new method based on threshold regression to test mutual fund market-timing abilities. The traditional Henriksson and Merton model is shown to represent only a special case within the proposed model. The potential bias of using the traditional model is demonstrated and it is argued that the proposed model provides more accurate inferences on the market-timing effects of mutual funds. The empirical results for a set of randomly-selected US mutual funds indicate the superior performance of the proposed method in detecting the market-timing ability.

Suggested Citation

  • Ping-Huang Chou & Huimin Chung & Erh-Yin Sun, 2005. "Detecting mutual fund timing ability using the threshold model," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 829-834.
    • Handle: RePEc:taf:apeclt:v:12:y:2005:i:13:p:829-834
    DOI: 10.1080/13504850500358850
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850500358850&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504850500358850?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Awudu Abdulai, 2002. "Using threshold cointegration to estimate asymmetric price transmission in the Swiss pork market," Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 679-687.
    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. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    4. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    5. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    6. Fabozzi, Frank J & Francis, Jack C, 1979. "Mutual Fund Systematic Risk for Bull and Bear Markets: An Empirical Examination," Journal of Finance, American Finance Association, vol. 34(5), pages 1243-1250, December.
    7. Chang, Eric C & Lewellen, Wilbur G, 1984. "Market Timing and Mutual Fund Investment Performance," The Journal of Business, University of Chicago Press, vol. 57(1), pages 57-72, January.
    8. Nicolas P. B. Bollen & Jeffrey A. Busse, 2001. "On the Timing Ability of Mutual Fund Managers," Journal of Finance, American Finance Association, vol. 56(3), pages 1075-1094, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giannikis, Dimitrios & Vrontos, Ioannis D., 2011. "A Bayesian approach to detecting nonlinear risk exposures in hedge fund strategies," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1399-1414, June.
    2. Woodward, George & Brooks, Robert, 2009. "Do realized betas exhibit up/down market tendencies?," International Review of Economics & Finance, Elsevier, vol. 18(3), pages 511-519, June.

    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. Romacho, Joao Carlos & Cortez, Maria Ceu, 2006. "Timing and selectivity in Portuguese mutual fund performance," Research in International Business and Finance, Elsevier, vol. 20(3), pages 348-368, September.
    2. Pankaj K. Agarwal & H. K. Pradhan, 2018. "Mutual Fund Performance Using Unconditional Multifactor Models: Evidence from India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 157-184, August.
    3. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    4. Kee-Hong Bae & Junesuh Yi, 2008. "The Impact of the Short-Short Rule Repeal on the Timing Ability of Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 969-997.
    5. Guastella, Giovanni & Moro, Daniele & Sckokai, Paolo & Veneziani, Mario, 2013. "Investment behaviour of EU arable crop farms in selected EU countries and the impact of policy reforms," Working papers 152083, Factor Markets, Centre for European Policy Studies.
    6. Droms, William G. & Walker, David A., 1996. "Mutual fund investment performance," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(3), pages 347-363.
    7. Chen, Li-Wen & Adams, Andrew & Taffler, Richard, 2013. "What style-timing skills do mutual fund “stars” possess?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 156-173.
    8. Anjum, Sohail & Qayyum, Unbreen & Qureshi, Madeeha Gohar, 2019. "Aggregate performance evaluation of US Equity Mutual Funds - Explaining the performance of Growth Funds vs. Value Funds," MPRA Paper 100043, University Library of Munich, Germany.
    9. Rompotis, Gerasimos G., 2011. "Testing weak-form efficiency of exchange traded funds market," MPRA Paper 36020, University Library of Munich, Germany.
    10. Fernández-Amador, Octavio & Francois, Joseph F. & Oberdabernig, Doris A. & Tomberger, Patrick, 2017. "Carbon Dioxide Emissions and Economic Growth: An Assessment Based on Production and Consumption Emission Inventories," Ecological Economics, Elsevier, vol. 135(C), pages 269-279.
    11. Yi, Li & Liu, Zilan & He, Lei & Qin, Zilong & Gan, Shunli, 2018. "Do Chinese mutual funds time the market?," Pacific-Basin Finance Journal, Elsevier, vol. 47(C), pages 1-19.
    12. Keith Cuthbertson & Dirk Nitzsche & Niall O'Sullivan, 2010. "The Market Timing Ability of UK Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(1-2), pages 270-289.
    13. Bruce E. Hansen, 1996. "Estimation of TAR Models," Boston College Working Papers in Economics 325., Boston College Department of Economics.
    14. Guastella, G. & Moro, D. & Sckokai, P. & Veneziani, M., 2013. "CAP Effects on Agricultural Investment Demand in Europe," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150619, Agricultural and Applied Economics Association.
    15. Lu¨ªs Oliveira & Tom¨¢s Salen & Jos¨¦ Dias Curto & Nuno Ferreira, 2019. "Market Timing and Selectivity: An Empirical Investigation of European Mutual Fund Performance," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(2), pages 1-16, February.
    16. Gallefoss, Kristoffer & Hansen, Helge Hoff & Haukaas, Eirik Solli & Molnár, Peter, 2015. "What daily data can tell us about mutual funds: Evidence from Norway," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 117-129.
    17. 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.
    18. Sebastian Bunnenberg & Martin Rohleder & Hendrik Scholz & Marco Wilkens, 2019. "Jensen's alpha and the market‐timing puzzle," Review of Financial Economics, John Wiley & Sons, vol. 37(2), pages 234-255, April.
    19. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    20. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.

    More about this item

    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:taf:apeclt:v:12:y:2005:i:13:p:829-834. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.