Loss Aversion: A Comparison of Investment Decision Making Between Individual Investors and Pension Funds in Brazil
Luiz Augusto Martits () and
William Eid Junior ()
Additional contact information
Luiz Augusto Martits: EAESP/FGV, PUC-SP
William Eid Junior: EAESP/FGV
Brazilian Review of Finance, 2009, vol. 7, issue 4, 429-457
Abstract:
This article compares the application of a loss aversion utility function with a traditional Von Neumann-Morgenstern utility function aiming to test whether the first form of utility could better replicate the actual behavior of Brazilian investors concerning the choice of optimum investment portfolio. The results generated by both functions, in terms of stock market participation in the optimum investment portfolio, are compared with real aggregate data from two types of Brazilian investors (pension funds and individual investors). The analysis indicates that: i) the traditional utility function should be rejected as an adequate model to replicate Brazilian individual investors behavior in the stock market; and ii) Brazilian individual investors behavior are better replicated by a loss aversion utility function.
Keywords: utility maximization; loss aversion; risk aversion; Brazilian stock market; prospect theory. (search for similar items in EconPapers)
JEL-codes: G11 (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
Downloads: (external link)
http://bibliotecadigital.fgv.br/ojs/index.php/rbfin/article/download/1507/1494 (application/pdf)
http://bibliotecadigital.fgv.br/ojs/index.php/rbfin/article/view/1507 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:brf:journl:v:7:y:2009:i:4:p:429-457
Access Statistics for this article
Brazilian Review of Finance is currently edited by Marcio Laurini
More articles in Brazilian Review of Finance from Brazilian Society of Finance
Bibliographic data for series maintained by Marcio Laurini ().