1970
DOI: 10.2307/2330119
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Models of Capital Budgeting, E-V Vs E-S

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Cited by 172 publications
(58 citation statements)
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“…As is well known, in the case of non-normally distributed asset returns, the mean-variance criterion for optimal portfolio decisions of investors can only be justified by quite unrealistic assumptions, such as a quadratic utility function (Mao, 1970, Samuelson, 1970, and thus a linear function for marginal utility (or stochastic discount factors) and the market return. An appealing framework to avoid the shortcomings of the mean-variance paradigm is the concept of stochastic dominance.…”
Section: B Stochastic Dominance Efficiency Testsmentioning
confidence: 99%
“…As is well known, in the case of non-normally distributed asset returns, the mean-variance criterion for optimal portfolio decisions of investors can only be justified by quite unrealistic assumptions, such as a quadratic utility function (Mao, 1970, Samuelson, 1970, and thus a linear function for marginal utility (or stochastic discount factors) and the market return. An appealing framework to avoid the shortcomings of the mean-variance paradigm is the concept of stochastic dominance.…”
Section: B Stochastic Dominance Efficiency Testsmentioning
confidence: 99%
“…The same argument is also valid for the VaR measures. Correspondingly, Markowitz (1959) and Mao (1970a) show that the constant reference point's Semi-Variance is consistent with the maximization of expected utility using a utility function which guarantees the more-over-less preference and risk aversion assumptions. In section III we show that this is also true in the case of AVaR t , which is presented below, although not in the case of VaR t .…”
Section: A1 the Var With Expected Mean As Reference Point (Var E )mentioning
confidence: 56%
“…Downside risk is an asymmetric risk measure that only focuses on downside and does not require normal distribution assumption. This risk measure is intuitively appealing and in-line with a survey undertaken by Mao (1970) where investors only dislike downside likelihood, while upside likelihood is viewed as favourable upside potential. Additionally, downside risk also emerges as an appropriate risk measure in skewed return distribution by effectively accommodating the non-normality in skewed return distribution and accurately estimating the risk for skewed assets.…”
Section: Introductionmentioning
confidence: 69%