IDEAS home Printed from https://ideas.repec.org/p/xrs/sfbmaa/04-49.html
   My bibliography  Save this paper

Evolution of Wealth and Asset Prices in Markets with Case-Based Investors

Author

Listed:
  • Guerdjikova, Ani

    (Cornell University)

Abstract

I analyze whether case-based decision makers (CBDM) can survive in an assetmarket in the presence of expected utilitymaximizers. Conditions are identified, under which the CBDM retain a positive mass with probability one. CBDM can cause predictability of asset returns, high volatility and bubbles. It is found that the expected utility maximizers can disappear from the market for a finite period of time, if the mispricing of the risky asset caused by the case-based decision-makers aggravates too much. Only in the case of logarithmic expected utility maximizers do the case-based decision makers disappear from the market for all parameter values.

Suggested Citation

  • Guerdjikova, Ani, 2004. "Evolution of Wealth and Asset Prices in Markets with Case-Based Investors," Sonderforschungsbereich 504 Publications 04-49, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    • Handle: RePEc:xrs:sfbmaa:04-49
    Note: I am indebted to my advisor Juergen Eichberger for his helpful guidance. I would like to thank Hans Haller,
    as

    Download full text from publisher

    File URL: http://www.sfb504.uni-mannheim.de/publications/dp04-49.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    2. 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.
    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. Botzen, W.J. Wouter & Marey, Philip S., 2010. "Did the ECB respond to the stock market before the crisis?," Journal of Policy Modeling, Elsevier, vol. 32(3), pages 303-322, May.
    2. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    3. Leonid Kogan & Stephen A. Ross & Jiang Wang & Mark M. Westerfield, 2006. "The Price Impact and Survival of Irrational Traders," Journal of Finance, American Finance Association, vol. 61(1), pages 195-229, February.
    4. Li, Jinfang, 2014. "Multi-period sentiment asset pricing model with information," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 118-130.
    5. Guidolin, Massimo & Ricci, Andrea, 2020. "Arbitrage risk and a sentiment as causes of persistent mispricing: The European evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 1-11.
    6. Peter A. F. Fraser‐Mackenzie & Tiejun Ma & Ming‐Chien Sung & Johnnie E. V. Johnson, 2019. "Let's Call it Quits: Break‐Even Effects in the Decision to Stop Taking Risks," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1560-1581, July.
    7. Marco Raberto & Silvano Cincotti & Sergio Focardi & Michele Marchesi, 2003. "Traders' Long-Run Wealth in an Artificial Financial Market," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 255-272, October.
    8. 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.
    9. Andrew W. Lo & H. Allen Orr & Ruixun Zhang, 2018. "The growth of relative wealth and the Kelly criterion," Journal of Bioeconomics, Springer, vol. 20(1), pages 49-67, April.
    10. Do, Quoc-Anh & Galbiati, Roberto & Marx, Benjamin & Ortiz Serrano, Miguel A., 2024. "J'Accuse! Antisemitism and financial markets in the time of the Dreyfus Affair," Journal of Financial Economics, Elsevier, vol. 154(C).
    11. 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.
    12. Zhenxi Chen & Cuntong Wang, 2020. "Speculative trading in Chinese housing market: a panel regression method," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4186-4195, July.
    13. Franklin Allen, 2001. "Do Financial Institutions Matter?," Journal of Finance, American Finance Association, vol. 56(4), pages 1165-1175, August.
    14. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
    15. Li, Jinfang, 2022. "The sentiment pricing dynamics with short-term and long-term learning," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    16. Nekat, Kai & Nippel, Peter, 2007. "The impact of a firm's payout policy on stock prices and shareholders' wealth in an inefficient market," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 619, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    17. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
    18. Guanqing Liu, 2019. "Technical Trading Behaviour: Evidence from Chinese Rebar Futures Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 669-704, August.
    19. Hirshleifer, David & Luo, Guo Ying, 2001. "On the survival of overconfident traders in a competitive securities market," Journal of Financial Markets, Elsevier, vol. 4(1), pages 73-84, January.
    20. Leif Brandes & Katja Rost, 2009. "Media, Limited Attention and the Propensity of Individuals to Buy Stocks," Working Papers 0098, University of Zurich, Institute for Strategy and Business Economics (ISU), revised Sep 2009.

    More about this item

    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:xrs:sfbmaa:04-49. 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: Carsten Schmidt (email available below). General contact details of provider: https://edirc.repec.org/data/sfmande.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.