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Mean-variance inefficiency of CRRA and CARA utility functions for portfolio selection in defined contribution pension schemes Author info | Abstract | Publisher info | Download info | Related research | Statistics Elena Vigna
We consider the portfolio selection problem in the accumulation phase of a defined contribution pension scheme in continuous time, and compare the mean-variance and the expected utility maximization approaches. Using the embedding technique pioneered by Zhou and Li (2000) we first find the efficient frontier of portfolios in the Black-Scholes financial market. Then, using standard stochastic optimal control we find the optimal portfolios derived via expected utility for popular utility functions. As a main result, we prove that the optimal portfolios derived with the CARA and CRRA utility functions are not mean-variance efficient. As a corollary, we prove that this holds also in the standard portfolio selection problem. We provide a natural measure of inefficiency based on the difference between optimal portfolio variance and minimal variance, and we show its dependence on risk aversion, Sharpe ratio of the risky asset, time horizon, initial wealth and contribution rate. Numerical examples illustrate the extent of inefficiency of CARA and CRRA utility functions in defined contribution pension schemes.
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Paper provided by Collegio Carlo Alberto in its series Carlo Alberto Notebooks with number
108.
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Length: 35 pages
Date of creation: 2009Date of revision:
2009Handle: RePEc:cca:wpaper:108Contact details of provider: Postal: Via Real Collegio, 30, 10024 Moncalieri (To) Phone: +390116705000 Fax: +390116476847 Email: Web page: http://www.carloalberto.org/ More information through EDIRC
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Keywords: Mean-variance approach ; efficient frontier ; expected utility maximization ; defined contribution pension scheme ; portfolio selection ; risk aversion ; Sharpe ratio ; Other versions of this item:
Find related papers by JEL classification: C61 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Optimization Techniques; Programming Models; Dynamic Analysis D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G23 - Financial Economics - - Financial Institutions and Services - - - Pension Funds; Other Private Financial Institutions
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