IDEAS home Printed from https://ideas.repec.org/p/ebg/heccah/0758.html
   My bibliography  Save this paper

Risk aversion and herd behavior in financial markets

Author

Listed:
  • LOVO, Stefano
  • DECAMPS, Jean-Paul

    (GREMAQ-IDEI Universite de Toulouse)

Abstract

We show that differences in investors risk aversion can generate herd behavior in stock markets where assets are traded sequentially. This in turn prevents markets from being efficient in the sense that financial market prices do not converge to the asset's fundamental value. The informational efficiency of the market depends on the distribution of the risky asset across risk averse agents. These results are obtained without introducing multidimensional uncertainty.

Suggested Citation

  • LOVO, Stefano & DECAMPS, Jean-Paul, 2002. "Risk aversion and herd behavior in financial markets," HEC Research Papers Series 758, HEC Paris.
  • Handle: RePEc:ebg:heccah:0758
    as

    Download full text from publisher

    File URL: http://www.hec.fr/var/fre/storage/original/application/34d87d0bd99eeb92b372c2770c820036.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Décamps, Jean-Paul & Lovo, Stefano, 2003. "Market Informational Inefficiency, Risk Aversion and Quantity Grid," IDEI Working Papers 177, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Mr. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets: A Review," IMF Working Papers 2000/048, International Monetary Fund.
    3. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    4. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    5. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
    6. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    7. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    8. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    9. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    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. Décamps, Jean-Paul & Lovo, Stefano, 2003. "Market Informational Inefficiency, Risk Aversion and Quantity Grid," IDEI Working Papers 177, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Christophe Chamley, 2005. "Complementarities in Information Acquisition with Short-Term Trades," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-156, Boston University - Department of Economics.
    3. Maria Grazia Romano, 2007. "Learning, Cascades, and Transaction Costs," Review of Finance, European Finance Association, vol. 11(3), pages 527-560.
    4. J L Ford & David Kelsey & W Pang, 2005. "Ambiguity in Financial Markets: Herding and Contrarian Behaviour," Discussion Papers 05-11, Department of Economics, University of Birmingham.
    5. Christophe Chamley, 2005. "Complementarities in Information Acquisition with Short-Term Trades," Boston University - Department of Economics - Working Papers Series WP2005-027, Boston University - Department of Economics.
    6. Lin, Mei-Chen, 2018. "The impact of aggregate uncertainty on herding in analysts' stock recommendations," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 90-105.

    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. Jean-Paul Decamps & Stefano Lovo, 2006. "A note on risk aversion and herd behavior in financial markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 31(1), pages 35-42, July.
    2. Marco Cipriani & Antonio Guarino, 2014. "Estimating a Structural Model of Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 104(1), pages 224-251, January.
    3. Park, Andreas & Sgroi, Daniel, 2008. "When Herding and Contrarianism Foster Market Efficiency: A Financial Trading Experiment," Economic Research Papers 269852, University of Warwick - Department of Economics.
    4. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1403-1426, December.
    5. Eyster, Erik & Galeotti, Andrea & Kartik, Navin & Rabin, Matthew, 2014. "Congested observational learning," Games and Economic Behavior, Elsevier, vol. 87(C), pages 519-538.
    6. Jonathan E. Alevy & Michael S. Haigh & John List, 2006. "Information Cascades: Evidence from An Experiment with Financial Market Professionals," NBER Working Papers 12767, National Bureau of Economic Research, Inc.
    7. Décamps, Jean-Paul & Lovo, Stefano, 2003. "Market Informational Inefficiency, Risk Aversion and Quantity Grid," IDEI Working Papers 177, Institut d'Économie Industrielle (IDEI), Toulouse.
    8. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    9. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    10. Andreas Roider & Andrea Voskort, 2016. "Reputational Herding in Financial Markets: A Laboratory Experiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 17(3), pages 244-266, July.
    11. Decamps, Jean-Paul & Lovo, Stefano, 2006. "Informational cascades with endogenous prices: The role of risk aversion," Journal of Mathematical Economics, Elsevier, vol. 42(1), pages 109-120, February.
    12. Christopher Boortz & Simon Jurkatis & Stephanie Kremer & Dieter Nautz, 2013. "Institutional Herding in Financial Markets: New Evidence through the Lens of a Simulated Model," Discussion Papers of DIW Berlin 1336, DIW Berlin, German Institute for Economic Research.
    13. Andreas Park & Daniel Sgroi, 2008. "Herding and Contrarianism in a Financial Trading Experiment with Endogenous Timing," Working Papers tecipa-341, University of Toronto, Department of Economics.
    14. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    15. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    16. Andreas Park & Hamid Sabourian, 2006. "Herd Behavior in Efficient Financial Markets," Working Papers tecipa-249, University of Toronto, Department of Economics.
    17. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    18. Dieter Nautz, "undated". "Herding in financial markets: Bridging the gap between theory and evidence," BDPEMS Working Papers 2013002, Berlin School of Economics.
    19. Christopher Boortz & Stephanie Kremer & Simon Jurkatis & Dieter Nautz, 2014. "Information Risk, Market Stress and Institutional Herding in Financial Markets: New Evidence Through the Lens of a Simulated Model," SFB 649 Discussion Papers SFB649DP2014-029, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    20. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 2005. "Information Cascades and Observational Learning," Working Paper Series 2005-22, Ohio State University, Charles A. Dice Center for Research in Financial Economics.

    More about this item

    Keywords

    herd behavior; stock markets; efficiency;
    All these keywords.

    JEL classification:

    • 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:ebg:heccah:0758. 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: Antoine Haldemann (email available below). General contact details of provider: https://edirc.repec.org/data/hecpafr.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.