IDEAS home Printed from https://ideas.repec.org/a/wly/empleg/v8y2011i2p260-303.html
   My bibliography  Save this article

The Paradox of “Fraud‐on‐the‐Market Theory”: Who Relies on the Efficiency of Market Prices?

Author

Listed:
  • Grigori Erenburg
  • Janet Kiholm Smith
  • Richard L. Smith

Abstract

Our evidence points to an inconsistency between the efficient markets hypothesis and the way U.S. courts have applied the hypothesis in cases involving allegations of fraud on the market. Based on a sample of securities class action cases, we find that (1) some cases certified for class action status do not satisfy the conditions for even weak‐form efficiency; (2) numerous opportunities exist for cost‐effective investors (those who can trade quickly and at low cost) to profit by using simple momentum‐based strategies; (3) including such investors as class members effectively subsidizes their strategies and overstates damages from reliance on market efficiency; (4) when such investors can profit by rejecting market efficiency, standard measures of damage overstate the fraud‐related damage of other investors; and (5) because of endogeneity, the factors that commonly are relied on by the courts for determining market efficiency bear little or no relation to weak‐form efficiency.

Suggested Citation

  • Grigori Erenburg & Janet Kiholm Smith & Richard L. Smith, 2011. "The Paradox of “Fraud‐on‐the‐Market Theory”: Who Relies on the Efficiency of Market Prices?," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(2), pages 260-303, June.
  • Handle: RePEc:wly:empleg:v:8:y:2011:i:2:p:260-303
    DOI: 10.1111/j.1740-1461.2011.01209.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1740-1461.2011.01209.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1740-1461.2011.01209.x?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
    ---><---

    References listed on IDEAS

    as
    1. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    2. Nerissa C. Brown & Kelsey D. Wei & Russ Wermers, 2014. "Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices," Management Science, INFORMS, vol. 60(1), pages 1-20, January.
    3. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    4. Agnes Cheng, C.S. & He Huang, Henry & Li, Yinghua & Lobo, Gerald, 2010. "Institutional monitoring through shareholder litigation," Journal of Financial Economics, Elsevier, vol. 95(3), pages 356-383, March.
    5. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    6. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    7. Robert A. Korajczyk & Ronnie Sadka, 2004. "Are Momentum Profits Robust to Trading Costs?," Journal of Finance, American Finance Association, vol. 59(3), pages 1039-1082, June.
    8. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    9. Bradford Cornell & Richard Roll, 1981. "Strategies for Pairwise Competition in Markets and Organizations," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 201-213, Spring.
    10. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    11. Grinblatt, Mark & Moskowitz, Tobias J., 2004. "Predicting stock price movements from past returns: the role of consistency and tax-loss selling," Journal of Financial Economics, Elsevier, vol. 71(3), pages 541-579, March.
    12. Verardo, Michela, 2009. "Heterogeneous Beliefs and Momentum Profits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 795-822, August.
    13. Grossman, Sanford J & Stiglitz, Joseph E, 1976. "Information and Competitive Price Systems," American Economic Review, American Economic Association, vol. 66(2), pages 246-253, May.
    14. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "Liquidity and Autocorrelations in Individual Stock Returns," Journal of Finance, American Finance Association, vol. 61(5), pages 2365-2394, October.
    15. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    16. Klock, Mark & McCormick, D Timothy, 1999. "The Impact of Market Maker Competition on Nasdaq Spreads," The Financial Review, Eastern Finance Association, vol. 34(4), pages 55-73, November.
    17. 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.
    18. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    19. 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.
    20. Brad M. Barber & Yi-Tsung Lee & Yu-Jane Liu & Terrance Odean, 2009. "Just How Much Do Individual Investors Lose by Trading?," Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 609-632, February.
    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. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, November.
    2. Liu, Chenye & Wu, Ying & Zhu, Dongming, 2022. "Price overreaction to up-limit events and revised momentum strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 114(C).
    3. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    4. Stephen Foerster, 2011. "Double then Nothing: Why Stock Investments Relying on Simple Heuristics May Disappoint," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(2), pages 115-140, September.
    5. Hong-Yi Chen & Sheng-Syan Chen & Chin-Wen Hsin & Cheng Few Lee, 2020. "Does Revenue Momentum Drive or Ride Earnings or Price Momentum?," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 94, pages 3263-3318, World Scientific Publishing Co. Pte. Ltd..
    6. Sam Agyei‐Ampomah, 2007. "The Post‐Cost Profitability of Momentum Trading Strategies: Further Evidence from the UK," European Financial Management, European Financial Management Association, vol. 13(4), pages 776-802, September.
    7. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," 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 1397-1532, Elsevier.
    8. repec:fau:fauart:v:65:y:2015:i:1:p:84-104 is not listed on IDEAS
    9. Razvan Stefanescu & Ramona Dumitriu, 2016. "Contrarian and Momentum Profits during Periods of High Trading Volume preceded by Stock Prices Shocks," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 378-384.
    10. 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.
    11. 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.
    12. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    13. Benjamin Chabot & Eric Ghysels & Ravi Jagannathan, 2008. "Price Momentum In Stocks: Insights From Victorian Age Data," NBER Working Papers 14500, National Bureau of Economic Research, Inc.
    14. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    15. Mamdouh Medhat & Maik Schmeling, 2022. "Short-term Momentum," Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1480-1526.
    16. Ming-Shiun Pan, 2010. "Autocorrelation, return horizons, and momentum in stock returns," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(3), pages 284-300, July.
    17. Pätäri, Eero & Karell, Ville & Luukka, Pasi & Yeomans, Julian S, 2018. "Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence," European Journal of Operational Research, Elsevier, vol. 265(2), pages 655-672.
    18. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    19. Philip Maymin, 2010. "Markets are efficient if and only if P = NP," Papers 1002.2284, arXiv.org, revised May 2010.
    20. Theissen, Erik & Yilanci, Can, 2020. "Momentum? What Momentum?," CFR Working Papers 20-09, University of Cologne, Centre for Financial Research (CFR).
    21. Giulio Bottazzi & Pietro Dindo & Daniele Giachini, 2019. "Momentum and reversal in financial markets with persistent heterogeneity," Annals of Finance, Springer, vol. 15(4), pages 455-487, December.

    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:wly:empleg:v:8:y:2011:i:2:p:260-303. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1740-1461 .

    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.