Forthcoming in Quantitative Finance
32 Pages Posted: 4 Nov 2013
Date Written: January 1, 2012
In standard portfolio theories such as Mean-Variance optimization, Expected Utility Theory, Rank Dependent Utility Theory, Yaari’s Dual Theory and Cumulative Prospect Theory, the worst outcomes for optimal strategies occur when the market declines (e.g, during crises), which is at odds with the needs of many investors. Hence, we depart from the traditional settings and study optimal strategies for investors who impose additional constraints on their final wealth in the states corresponding to a stressed financial market. We provide a framework that maintains the stylized features of the SP/A theory while dealing with the goal of security in a more flexible way. Preferences become state-dependent, and we assess the impact of these preferences on trading decisions. We construct optimal strategies explicitly and show how they outperform traditional diversified strategies under worst-case scenarios.
Keywords: Behavioral Portfolio Selection, State-dependent preferences, Risk Diversification, Cost-efficiency, Path-dependent Strategies, Growth Optimal Portfolio
Suggested Citation: Suggested Citation
Bernard, Carole and Chen, Jit Seng and Vanduffel, Steven, Optimal Portfolios Under Worst-Case Scenarios (January 1, 2012). Forthcoming in Quantitative Finance. Available at SSRN: https://ssrn.com/abstract=2349120 or http://dx.doi.org/10.2139/ssrn.2349120