Portfolio Optimization with Mental Accounts
Sanjiv Das (),
Jonathan Scheid and
Journal of Financial and Quantitative Analysis, 2010, vol. 45, issue 2, 311-334
We integrate appealing features of Markowitzâ€™s mean-variance portfolio theory (MVT) and Shefrin and Statmanâ€™s behavioral portfolio theory (BPT) into a new mental accounting (MA) framework. Features of the MA framework include an MA structure of portfolios, a definition of risk as the probability of failing to reach the threshold level in each mental account, and attitudes toward risk that vary by account. We demonstrate a mathematical equivalence between MVT, MA, and risk management using value at risk (VaR). The aggregate allocation across MA subportfolios is mean-variance efficient with short selling. Short-selling constraints on mental accounts impose very minor reductions in certainty equivalents, only if binding for the aggregate portfolio, offsetting utility losses from errors in specifying risk-aversion coefficients in MVT applications. These generalizations of MVT and BPT via a unified MA framework result in a fruitful connection between investor consumption goals and portfolio production.
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