IDEAS home Printed from https://ideas.repec.org/p/hhs/hastef/0536.html
   My bibliography  Save this paper

Is Momentum Due to Data-Snooping?

Author

Listed:
  • Ericsson, Johan

    (Dept. of Economic Statistics, Stockholm School of Economics)

  • González, Andrés

    (Dept. of Economic Statistics, Stockholm School of Economics)

Abstract

This paper explores the profitability of portfolio-based momentum strategies. The data consists of all NYSE, AMEX, and NASDAQ stocks on the CRSP database. The analysis considers the period July 1963 to December 2002 and the tests are performed on portfolios formed on industry, size and book-to-market. The departure from earlier studies lies in the way we test for profitability. To avoid the serious problem of data-snooping we apply the procedure provided by White (2000). Overall, we find strong evidence of a momentum effect where an investor takes a long position on the winner portfolio and a short position on the loser portfolio. Hence, we reject the hypothesis of weak market efficiency. Splitting the sample in two parts, 1963:07 to 1981:12 and 1982:01 to 2002:12 we found that the best momentum strategy was profitable during the first period and not during the second. The overall significance is thus driven by events in the earlier part of the sample and it appears that the market has become more efficient.

Suggested Citation

  • Ericsson, Johan & González, Andrés, 2003. "Is Momentum Due to Data-Snooping?," SSE/EFI Working Paper Series in Economics and Finance 536, Stockholm School of Economics.
    • Handle: RePEc:hhs:hastef:0536
    as

    Download full text from publisher

    File URL: http://swopec.hhs.se/hastef/papers/hastef0536.pdf
    File Function: Complete Rendering
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hansen, Peter Reinhard, 2005. "A Test for Superior Predictive Ability," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 365-380, October.
    2. Lo, Andrew W & MacKinlay, A Craig, 1990. "Data-Snooping Biases in Tests of Financial Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 3(3), pages 431-467.
    3. Savin, N.E., 1984. "Multiple hypothesis testing," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 14, pages 827-879, Elsevier.
    4. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    5. Conrad, Jennifer & Kaul, Gautam, 1998. "An Anatomy of Trading Strategies," The Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 489-519.
    6. Jonathan Lewellen, 2002. "Momentum and Autocorrelation in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 533-564, March.
    7. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    8. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    9. repec:bla:jfinan:v:53:y:1998:i:1:p:267-284 is not listed on IDEAS
    10. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
    11. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    12. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    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. Teplova, Tamara & Mikova, Evgeniya & Nazarov, Nikolai, 2017. "Stop losses momentum strategy: From profit maximization to risk control under White’s Bootstrap Reality Check," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 240-258.
    2. Jungmu Kim & Yuen Jung Park, 2019. "Is Factor Investing Sustainable after Price Impact Costs? The Capacity of Factor Investing in Korea," Sustainability, MDPI, vol. 11(17), pages 1-21, September.
    3. Badreddine, Sina & Galariotis, Emilios C. & Holmes, Phil, 2012. "The relevance of information and trading costs in explaining momentum profits: Evidence from optioned and non-optioned stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 589-608.

    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. Wang, Jun & Wu, Yangru, 2011. "Risk adjustment and momentum sources," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1427-1435, June.
    2. Eisdorfer, Assaf, 2008. "Delisted firms and momentum profits," Journal of Financial Markets, Elsevier, vol. 11(2), pages 160-179, May.
    3. Ivelina Pavlova & A. M. Parhizgari, 2011. "In search of momentum profits: are they illusory?," Applied Financial Economics, Taylor & Francis Journals, vol. 21(21), pages 1617-1639.
    4. Malin, Mirela & Bornholt, Graham, 2010. "Predictability of future index returns based on the 52-week high strategy," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 501-508, November.
    5. Karolyi, G. Andrew & Kho, Bong-Chan, 2004. "Momentum strategies: some bootstrap tests," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 509-536, September.
    6. Chen Su, 2021. "A comprehensive investigation into style momentum strategies in China," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(1), pages 101-144, March.
    7. Chris Stivers & Licheng Sun, 2013. "Market Cycles and the Performance of Relative Strength Strategies," Financial Management, Financial Management Association International, vol. 42(2), pages 263-290, June.
    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    9. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    10. Mao, Mike Qinghao & Wei, K.C. John, 2014. "Price and earnings momentum: An explanation using return decomposition," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 332-351.
    11. Heston, Steven L. & Sadka, Ronnie, 2008. "Seasonality in the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 87(2), pages 418-445, February.
    12. Minye Zhang & Yongheng Deng, 2010. "Is the Mean Return of Hotel Real Estate Stocks Apt to Overreact to Past Performance?," The Journal of Real Estate Finance and Economics, Springer, vol. 40(4), pages 497-543, May.
    13. Grinblatt, Mark & Han, Bing, 2001. "The Disposition Effect and Momentum," University of California at Los Angeles, Anderson Graduate School of Management qt6qg5d62p, Anderson Graduate School of Management, UCLA.
    14. Cooper, Michael J. & Jackson, William III & Patterson, Gary A., 2003. "Evidence of predictability in the cross-section of bank stock returns," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 817-850, May.
    15. Chen, Hsiu-Lang & De Bondt, Werner, 2004. "Style momentum within the S&P-500 index," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 483-507, September.
    16. Wahal, Sunil & Yavuz, M. Deniz, 2013. "Style investing, comovement and return predictability," Journal of Financial Economics, Elsevier, vol. 107(1), pages 136-154.
    17. Martin H. Schmidt, 2017. "Trading strategies based on past returns: evidence from Germany," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(2), pages 201-256, May.
    18. Naranjo, Andy & Porter, Burt, 2010. "Risk factor and industry effects in the cross-country comovement of momentum returns," Journal of International Money and Finance, Elsevier, vol. 29(2), pages 275-299, March.
    19. Hong Zhang, 2004. "Dynamic Beta, Time-Varying Risk Premium, and Momentum," Yale School of Management Working Papers amz2637, Yale School of Management, revised 01 Mar 2005.
    20. Benjamin Chabot & Eric Ghysels & Ravi Jagannathan, 2009. "Momentum Cycles and Limits to Arbitrage Evidence from Victorian England and Post-Depression US Stock Markets," NBER Working Papers 15591, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Momentum; Data-snooping; Bootstrap;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:hhs:hastef:0536. 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: Helena Lundin (email available below). General contact details of provider: https://edirc.repec.org/data/erhhsse.html .

    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.