Stochastic Dominance (SD) rules are playing an increasingly prominent role in the theory of choice under uncertainty. Its application areas include stock selection, capital budgeting, etc. The theory is important because it generates decision rules which are more generally applicable to these...

In this paper we consider chance constrained programming problems with joint constraints shown in the literature to be equivalent deterministic nonlinear programming problems. Since most existing computational methods for solution require that the constraints of the equivalent deterministic...

In recent years, on the basis of static allocative efficiency properties economists have advocated the use of taxation as an economically efficient means of control to implement environmental protection policy. Environmental problems, however, do not always develop smoothly and gradually but are...

About 400 publications, working papers and books are included in this bibliography on Stochastic Dominance. It contains an exhaustive listing of papers that are either basic contributions to this subject or primarily concerned with applications of the Stochastic Dominance concepts. It also...

It is well known that when the distribution of portfolio returns is normal, the admissible set of portfolios for risk-averse investors with increasing and concave utility functions is the Markowtiz-Tobin mean-minimum variance admissible boundary: The admissible set is obtained by minimizing a...