This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orders. These conditions take the form of restrictions on algebraic combinations of moments of the probability distributions in question. The relevant set of conditions depends on the relevant order of ASD but not on the critical value for the admissible violation area. These conditions can help to reduce the information requirement and computational burden in practical applications. A numerical example and an empirical application to historical stock market data illustrate the moment conditions. The first four moment conditions in particular seem appealing for many applications
Leshno and Levy (2002) extend stochastic dominance (SD) theory to almost stochastic dominance (ASD) ...
[[abstract]]This paper adopts individual portfolio choice data to estimate the preference parameters...
In this paper we first develop a theory of almost stochastic dominance for risk-seeking investors to...
This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orde...
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. W...
This paper establishes some equivalent relationships for the first three orders of the almost stocha...
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. W...
In this paper we �first develop a theory of almost stochastic dominance for risk-seeking investors t...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
Title: Almost stochastic dominance Author: Adam Štefánik Department: Probability and Mathematical St...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
In this paper we first develop a theory of almost stochastic dominance for risk-seeking investors to...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...
Leshno and Levy (2002) extend stochastic dominance (SD) theory to almost stochastic dominance (ASD) ...
[[abstract]]This paper adopts individual portfolio choice data to estimate the preference parameters...
In this paper we first develop a theory of almost stochastic dominance for risk-seeking investors to...
This study establishes necessary conditions for Almost Stochastic Dominance criteria of various orde...
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. W...
This paper establishes some equivalent relationships for the first three orders of the almost stocha...
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. W...
In this paper we �first develop a theory of almost stochastic dominance for risk-seeking investors t...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
Title: Almost stochastic dominance Author: Adam Štefánik Department: Probability and Mathematical St...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
In this paper we first develop a theory of almost stochastic dominance for risk-seeking investors to...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...
In this paper, we develop the concept of almost stochastic dominance for higher order pref...
Leshno and Levy (2002) extend stochastic dominance (SD) theory to almost stochastic dominance (ASD) ...
[[abstract]]This paper adopts individual portfolio choice data to estimate the preference parameters...
In this paper we first develop a theory of almost stochastic dominance for risk-seeking investors to...