Decision Theory Matters for Financial Advice
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We show that the optimal asset allocation for an investor depends crucially on the decision theory with which the investor is modeled. For the same market data and the same client data different theories lead to different portfolios. The market data we consider is standard asset allocation data. The client data is determined by a standard risk profiling question and the theories we apply are mean–variance analysis, expected utility analysis and cumulative prospect theory. For testing the robustness of our results, we carry out the comparisons for alternative data sets and also for variants of the risk profiling question.
KeywordsCumulative prospect theory Expected utility analysis Mean–variance analysis
JEL ClassificationC61 D81 G02 G11
This research was supported by the Swiss National Science Foundation, Grant No. 100018-149934.
- Černý, M. (2009). Mathematical techniques in finance. Tools for incomplete markets (2nd ed.). Princeton: Princeton University Press.Google Scholar
- De Giorgi, E., & Hens, T. (2009). Prospect theory and mean–variance analysis: Does it make a difference in wealth management? Investment Management and Financial Innovations, 6, 122–129.Google Scholar
- Hens, T., & Bachmann, K. (2008). Behavioural finance for private banking. New York: Wiley.Google Scholar
- Hens, T., & Mayer, J. (March 2014). Cumulative prospect theory and mean variance analysis. A rigorous comparison. Research Paper Series 14–23, Swiss Finance Institute. Electronic copy available at http://ssrn.com/abstract=2417191; forthcoming in Computational Finance.
- Hens, T., & Rieger, M. (2010). Financial economics. A concise introduction to classical and behavioral finance. Berlin: Springer.Google Scholar
- Levy, H. (2012). The capital asset pricing model in the 21st century. Analytical, empirical, and behavioral perspectives. Cambridge: Cambridge University Press.Google Scholar
- Murtagh, B., & Saunders, M. (1998). MINOS 5.5 user’s guide. Technical report SOL 83-20R. Stanford: Department of Operations Research.Google Scholar
- Post, T., & Kopa, M. (2016). Portfolio choice based on third-degree stochastic dominance. Management Science. (Forthcoming). Published online in articles in advance 15 August 2016. http://dx.doi.org/10.1287/mnsc.2016.2506.