IDEAS home Printed from https://ideas.repec.org/p/eui/euiwps/eco2010-25.html
   My bibliography  Save this paper

Rationalizing Trading Frequency and Returns

Author

Listed:
  • Yosef Bonaparte
  • Russell Cooper

Abstract

Barber and Odean (2000) study the relationship between trading frequency and returns. They find that households who trade more frequently have a lower net return than other households. But all households have about the same gross return. They argue that these results cannot emerge from a model with rational traders and instead attribute these findings to overconfidence. Using a dynamic optimization approach, we find that neither a model with rational agents facing adjustment costs nor various models of overconfidence fit these facts.

Suggested Citation

  • Yosef Bonaparte & Russell Cooper, 2010. "Rationalizing Trading Frequency and Returns," Economics Working Papers ECO2010/25, European University Institute.
  • Handle: RePEc:eui:euiwps:eco2010/25
    as

    Download full text from publisher

    File URL: http://cadmus.eui.eu/dspace/bitstream/1814/14058/1/ECO_2010_25.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Luigi Guiso & Tullio Jappelli, 2006. "Information Acquisition and Portfolio Performance," CeRP Working Papers 52, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    2. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    3. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    4. Yosef Bonaparte & Russell Cooper, 2009. "Costly Portfolio Adjustment," NBER Working Papers 15227, National Bureau of Economic Research, Inc.
    5. 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.
    6. De Long, J Bradford & Shleifer, Andrei & Summers, Lawrence H & Waldmann, Robert J, 1991. "The Survival of Noise Traders in Financial Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 1-19, January.
    7. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    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. Yosef Bonaparte & Russell Cooper & Mengli Sha, 2019. "Rationalizing Trading Frequency and Returns: Maybe Trading is Good for You," NBER Working Papers 25838, National Bureau of Economic Research, Inc.
    2. Kenneth Yung & Yen-Chih Liu, 2009. "Implications of futures trading volume: Hedgers versus speculators," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 318-337, December.
    3. Markus Glaser & Thomas Langer & Martin Weber, 2007. "On the Trend Recognition and Forecasting Ability of Professional Traders," Decision Analysis, INFORMS, vol. 4(4), pages 176-193, December.
    4. Kent Daniel & Sheridan Titman, 2000. "Market Efficiency in an Irrational World," NBER Working Papers 7489, National Bureau of Economic Research, Inc.
    5. Subrahmanyam, Avanidhar, 2009. "Optimal financial education," Review of Financial Economics, Elsevier, vol. 18(1), pages 1-9, January.
    6. Diego García & Francesco Sangiorgi & Branko Urošević, 2007. "Overconfidence and Market Efficiency with Heterogeneous Agents," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 30(2), pages 313-336, February.
    7. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    8. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    9. Caliendo, Frank & Huang, Kevin X.D., 2008. "Overconfidence and consumption over the life cycle," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1347-1369, December.
    10. Michailova, Julija, 2010. "Development of the overconfidence measurement instrument for the economic experiment," MPRA Paper 34799, University Library of Munich, Germany, revised Nov 2011.
    11. Wen-I Chuang & Bong-Soo Lee & Kai-Li Wang, 2014. "US and Domestic Market Gains and Asian Investors’ Overconfident Trading Behavior," Financial Management, Financial Management Association International, vol. 43(1), pages 113-148, March.
    12. Liu, Hongqi & Peng, Cameron & Xiong, Wei A. & Xiong, Wei, 2022. "Taming the bias zoo," Journal of Financial Economics, Elsevier, vol. 143(2), pages 716-741.
    13. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    14. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    15. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    16. Avanidhar Subrahmanyam, 2009. "Optimal financial education," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 1-9, January.
    17. Chuang, Wen-I & Susmel, Rauli, 2011. "Who is the more overconfident trader? Individual vs. institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1626-1644, July.
    18. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    19. Liu, Hongqi & Peng, Cameron & Wei, Xiong & Wei, Xiong, 2022. "Taming the bias zoo," LSE Research Online Documents on Economics 109301, London School of Economics and Political Science, LSE Library.
    20. Avanidhar Subrahmanyam, 2008. "Behavioural Finance: A Review and Synthesis," European Financial Management, European Financial Management Association, vol. 14(1), pages 12-29, January.

    More about this item

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:eui:euiwps:eco2010/25. 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: Cécile Brière (email available below). General contact details of provider: https://edirc.repec.org/data/deiueit.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.