Goal-Based Investing with Cumulative Prospect Theory and Satisficing Behavior
AbstractThis paper presents a time-continuous goal-based portfolio selection model with cumulative prospect theory preferences and satisficing behavior, where investors optimally split their wealth among several investment goals at different horizons. The paper extends the model of Berkelaar, Kouwenberg and Post (2004) to account for multiple-goals. We show that when the discounted values of all target wealths is not too high relative to the initial wealth (i.e., goals are not too ambitious), investors mainly invest to reach short-term investment goals and adopt safe investment strategies for this purpose. However, when goals are very ambitious, they put a high proportion of their wealth in long-term goals and adopt aggressive investment strategies with high leverage to reach short-term goals and the overall investment strategy also displays high leverage. High incentives to reach ambitious shortterm goals (high target returns) and the consequent excessive leverage have been identified as causes for the global financial crisis erupted in 2008.
Download InfoIf 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.
Bibliographic InfoPaper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2009 with number 2009-22.
Length: 51 pages
Date of creation: Aug 2009
Date of revision:
behavioral finance; portfolio selection; mental accounting; narrow framing; cumulative prospect theory; satisficing; loss aversion; goal-based approach;
Find related papers by JEL classification:
- D10 - Microeconomics - - Household Behavior - - - General
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-08-22 (All new papers)
- NEP-CBE-2009-08-22 (Cognitive & Behavioural Economics)
- NEP-UPT-2009-08-22 (Utility Models & Prospect Theory)
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.:
- Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
- Richard H. Thaler, 2008.
"Mental Accounting and Consumer Choice,"
INFORMS, vol. 27(1), pages 15-25, 01-02.
- R. Mehra & E. Prescott, 2010.
"The equity premium: a puzzle,"
Levine's Working Paper Archive
1401, David K. Levine.
- Nicholas Barberis, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, 08.
- Nishant Dass & Massimo Massa & Rajdeep Patgiri, 2008. "Mutual Funds and Bubbles: The Surprising Role of Contractual Incentives," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 51-99, January.
- Shefrin, Hersh & Statman, Meir, 2000. "Behavioral Portfolio Theory," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(02), pages 127-151, June.
- Shlomo Benartzi & Richard H. Thaler, 1993.
"Myopic Loss Aversion and the Equity Premium Puzzle,"
NBER Working Papers
4369, National Bureau of Economic Research, Inc.
- Benartzi, Shlomo & Thaler, Richard H, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, MIT Press, vol. 110(1), pages 73-92, February.
- David B. Brown & Melvyn Sim, 2009. "Satisficing Measures for Analysis of Risky Positions," Management Science, INFORMS, vol. 55(1), pages 71-84, January.
- Tversky, Amos & Kahneman, Daniel, 1992. " Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Martina Flockerzi).
If references are entirely missing, you can add them using this form.