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Abstract
Investment managers always look for securities to improve their portfolio performance and a common mechanism is the mean-variance (MV) model. As an alternative, Shalit proposes using marginal conditional stochastic dominance (MCSD), which ensures that all risk-averse investors benefit from the selection process by establishing the relative preference among stocks conditional on holding a specific portfolio. He describes the basic MCSD rules and applies them to large portfolios. The resulting preferred stocks are compared to the selection obtained using the mean-variance criterion and the CAPM.
TOPICS: Portfolio construction, portfolio theory, risk management
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