This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. We then establish some equivalent relationships for the first four orders of the ASD. Using these results, we prove formally that the ASD definition modified by Tzeng et al.\ (2012) does not possess any hierarchy property. Thereafter, we conclude that when the first four orders of ASD are used in the prospects comparison, risk-averse investors prefer the one with positive gain, smaller variance, positive skewness, and smaller kurtosis. This information, in turn, enables decision makers to determine the ASD relationship among prospects when they know the moments of the prospects. At last, we discuss the necessary and sufficient conditions for d...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
This paper first extends some well-known univariate stochastic dominance results to multivariate sto...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. W...
Leshno and Levy (2002) extend stochastic dominance (SD) theory to almost stochastic dominance (ASD) ...
This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orde...
In this paper we �first develop a theory of almost stochastic dominance for risk-seeking investors t...
This paper studies some properties of stochastic dominance (SD) for risk-averse and risk-seeking inv...
Levy and Levy (2002, 2004) develop the Prospect and Markowitz stochastic dominance theory with S-sha...
Levy and Wiener (1998), Levy and Levy (2002, 2004) develop the Prospect and Markowitz stochastic dom...
To satisfy the property of expected-utility maximization, Tzeng et al. (2012) modify the almost seco...
Prospect and Markowitz Stochastic Dominance Levy and Wiener (1998), Levy and Levy (2002, 2004) devel...
Decision theorists widely accept a stochastic dominance principle: roughly, if a risky prospect A is...
[[abstract]]This paper adopts individual portfolio choice data to estimate the preference parameters...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
This paper first extends some well-known univariate stochastic dominance results to multivariate sto...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. W...
Leshno and Levy (2002) extend stochastic dominance (SD) theory to almost stochastic dominance (ASD) ...
This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orde...
In this paper we �first develop a theory of almost stochastic dominance for risk-seeking investors t...
This paper studies some properties of stochastic dominance (SD) for risk-averse and risk-seeking inv...
Levy and Levy (2002, 2004) develop the Prospect and Markowitz stochastic dominance theory with S-sha...
Levy and Wiener (1998), Levy and Levy (2002, 2004) develop the Prospect and Markowitz stochastic dom...
To satisfy the property of expected-utility maximization, Tzeng et al. (2012) modify the almost seco...
Prospect and Markowitz Stochastic Dominance Levy and Wiener (1998), Levy and Levy (2002, 2004) devel...
Decision theorists widely accept a stochastic dominance principle: roughly, if a risky prospect A is...
[[abstract]]This paper adopts individual portfolio choice data to estimate the preference parameters...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
This paper first extends some well-known univariate stochastic dominance results to multivariate sto...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...