This paper surveys the use of stochastic dominance to decision making under uncertainty. The first part presents the relevant definitions and some properties of distributions satisfying one of the stochastic dominance conditions. These properties include restrictions on moments, an invariance property, and properties of random variables related by an exact formula. The second part contains some applications of the stochastic dominance method and especially the problem of selecting optimal portfolios. Most of the results in this section deal with conditions that make diversification an optimal strategy.
AbstractThe use of stochastic dominance has become common in finance and economics. As a theoretical...
Stochastic dominance is a term which refers to a set of relations that may hold between a pair of di...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...
The dissertation investigates some important aspects of managerial decision making under conditions ...
textabstractStochastic Dominance relation is a probabilistic concept which allows random outcomes su...
We analyze relations between two methods frequently used for modeling the choice among uncertain out...
In order to rank investments under uncertainty, the most widely used method is mean variance analysi...
The main topic of this thesis is the application of stochastic dominance constrains to portfolio opt...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
In this paper, we develop some stochastic dominance theorems for the location and scale family and l...
The mathematical concept of stochastic dominance was introduced to describe preference of one random...
This work focuses on measuring the quality of stochastic dominance approx- imation. A measure of non...
Stochastic dominance plays a prominent role in the theory of decision making under risk since it is ...
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's ri...
This thesis focuses on stochastic dominance in portfolio selection problems. The thesis recalls basi...
AbstractThe use of stochastic dominance has become common in finance and economics. As a theoretical...
Stochastic dominance is a term which refers to a set of relations that may hold between a pair of di...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...
The dissertation investigates some important aspects of managerial decision making under conditions ...
textabstractStochastic Dominance relation is a probabilistic concept which allows random outcomes su...
We analyze relations between two methods frequently used for modeling the choice among uncertain out...
In order to rank investments under uncertainty, the most widely used method is mean variance analysi...
The main topic of this thesis is the application of stochastic dominance constrains to portfolio opt...
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a sto...
In this paper, we develop some stochastic dominance theorems for the location and scale family and l...
The mathematical concept of stochastic dominance was introduced to describe preference of one random...
This work focuses on measuring the quality of stochastic dominance approx- imation. A measure of non...
Stochastic dominance plays a prominent role in the theory of decision making under risk since it is ...
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's ri...
This thesis focuses on stochastic dominance in portfolio selection problems. The thesis recalls basi...
AbstractThe use of stochastic dominance has become common in finance and economics. As a theoretical...
Stochastic dominance is a term which refers to a set of relations that may hold between a pair of di...
Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the c...