Advanced Search
MyIDEAS: Login to save this paper or follow this series

Asymmetric learning from financial information

Contents:

Author Info

  • Kuhnen, Camelia M.

Abstract

The goal of this study is to ask whether investors learn differently from gains (positive news) versus losses (negative news), whether learning performance is better or worse when people are actively investing in a security or passively observing the security’s payoffs, and whether there are personal characteristics that correlate with learning performance. The experimental evidence documented here indicates that the ability to learn from financial information is on average worse in the loss domain, in particular if the investor has personally experienced the prior outcomes of the financial asset considered. Within individual, learning from gains versus losses, or during active versus passive involvement, are not perfectly correlated, indicating that there exists heterogeneity across people with respect to the type of financial information or context to which they are the most sensitive. Learning performance is determined by acquired financial expertise as well as by genetic factors related to memory and cognitive control.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://mpra.ub.uni-muenchen.de/39412/
File Function: original version
Download Restriction: no

Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 39412.

as in new window
Length:
Date of creation: 12 Jun 2012
Date of revision:
Handle: RePEc:pra:mprapa:39412

Contact details of provider:
Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC

Related research

Keywords: financial decision making; learning; gains; losses; genes; COMT; neuroeconomics;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Lusardi, Annamaria & Mitchell, Olivia S., 2006. "Baby boomer retirement security: The roles of planning, financial literacy, and Housing wealth," CFS Working Paper Series 2006/20, Center for Financial Studies (CFS).
  2. Xavier Gabaix & David Laibson & Guillermo Moloche & Stephen Weinberg, 2006. "Costly Information Acquisition: Experimental Analysis of a Boundedly Rational Model," American Economic Review, American Economic Association, vol. 96(4), pages 1043-1068, September.
  3. Schwert, G William, 1989. " Why Does Stock Market Volatility Change over Time?," Journal of Finance, American Finance Association, vol. 44(5), pages 1115-53, December.
  4. Élise PAYZAN LE NESTOUR, 2010. "Bayesian Learning in UnstableSettings: Experimental Evidence Based on the Bandit Problem," Swiss Finance Institute Research Paper Series 10-28, Swiss Finance Institute.
  5. Nicola Gennaioli & Andrei Shleifer, 2010. "What Comes to Mind," The Quarterly Journal of Economics, MIT Press, vol. 125(4), pages 1399-1433, November.
  6. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
  7. Charness, Gary & Levin, Dan, 2003. "When Optimal Choices Feel Wrong: A Laboratory Study of Bayesian Updating, Complexity, and Affect," University of California at Santa Barbara, Economics Working Paper Series qt7g63k28w, Department of Economics, UC Santa Barbara.
  8. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
  9. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory And Asset Prices," The Quarterly Journal of Economics, MIT Press, vol. 116(1), pages 1-53, February.
  10. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
  11. Shimon Kogan, 2009. "Distinguishing the Effect of Overconfidence from Rational Best-Response on Information Aggregation," Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1889-1914, May.
  12. Viktor Todorov, 2010. "Variance Risk-Premium Dynamics: The Role of Jumps," Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 345-383, January.
  13. Tim Bollerslev & Viktor Todorov, 2009. "Tails, Fears and Risk Premia," CREATES Research Papers 2009-26, School of Economics and Management, University of Aarhus.
  14. Peter Bossaerts, 2009. "What Decision Neuroscience Teaches Us About Financial Decision Making," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 383-404, November.
  15. Camelia Kuhnen & Brian Knutson, 2005. "The Neural Basis of Financial Risk Taking," Experimental 0509001, EconWPA.
  16. Markus K. Brunnermeier & Jonathan A. Parker & Christian Gollier, 2007. "Optimal Beliefs, Asset Prices, and the Preference for Skewed Returns," American Economic Review, American Economic Association, vol. 97(2), pages 159-165, May.
  17. Andrew W. Lo & Dmitry V. Repin & Brett N. Steenbarger, 2005. "Fear and Greed in Financial Markets: A Clinical Study of Day-Traders," American Economic Review, American Economic Association, vol. 95(2), pages 352-359, May.
  18. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March.
  19. Brian D. Kluger & Steve B. Wyatt, 2004. "Are Judgment Errors Reflected in Market Prices and Allocations? Experimental Evidence Based on the Monty Hall Problem," Journal of Finance, American Finance Association, vol. 59(3), pages 969-998, 06.
  20. Kuhnen, Camelia M. & Knutson, Brian, 2011. "The Influence of Affect on Beliefs, Preferences, and Financial Decisions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(03), pages 605-626, June.
  21. Malkiel, Burton & Campbell, John & Lettau, Martin & Xu, Yexiao, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Scholarly Articles 3128707, Harvard University Department of Economics.
  22. Kenneth A. Froot, 2001. "The Market for Catastrophe Risk: A Clinical Examination," NBER Working Papers 8110, National Bureau of Economic Research, Inc.
  23. Xavier Gabaix, 2011. "A Sparsity-Based Model of Bounded Rationality," NBER Working Papers 16911, National Bureau of Economic Research, Inc.
  24. Ulrike Malmendier & Stefan Nagel, 2009. "Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking?," NBER Working Papers 14813, National Bureau of Economic Research, Inc.
  25. Marcin Kacperczyk & Stijn Van Nieuwerburgh & Laura Veldkamp, 2009. "Rational Attention Allocation Over the Business Cycle," NBER Working Papers 15450, National Bureau of Economic Research, Inc.
  26. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
  27. Antoine J. Bruguier & Steven R. Quartz & Peter Bossaerts, 2010. "Exploring the Nature of "Trader Intuition"," Journal of Finance, American Finance Association, vol. 65(5), pages 1703-1723, October.
  28. Nicholas Barberis, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, 08.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:39412. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.