A New Stochastic Dominance Degree Based on Almost Stochastic Dominance and Its Application in Decision Making

Decision criteria in risk analysis : an application of stochastic dominance with respect to a function

Electricity Procurement for Large Consumers with Second Order Stochastic Dominance Constraints

This paper presents a decision making approach for mid-term scheduling of large industrial consumers based on the recently introduced class of Stochastic Dominance (SD)- constrained stochastic programming. In this study, the electricity price in the pool as well as the rate of availability (unavailability) of the generating unit (forced outage rate) is considered as uncertain parameters. Th...

محاسبه ریسک با معیار تسلط تصادفی و مقایسه آن با سایر معیارهای متداول در بورس اوراق بهادار تهران

Nowadays stock market as a means to facilitate and direct micro investment for economic development is deemed as one of the most effective tools in the market economy system. Analyzing the risk and output of various companies' shares is among the most important preconditions of stock investment. In general, although conventional risk measures such as Beta and standard deviation are relatively e...

Generalized Almost Stochastic Dominance

Almost stochastic dominance allows small violations of stochastic dominance rules to avoid situations where most decision makers prefer one alternative to another but stochastic dominance cannot rank them. However, the commonly used integral condition for almost seconddegree stochastic dominance does not map into the corresponding classes of increasing concave utility functions with bounded der...

Concepts and Applications of Stochastically Weighted Stochastic Dominance

Stochastic dominance theory provides tools to compare random entities. When comparing random vectors (say X and Y ), the problem can be viewed as one of multi-criterion decision making under uncertainty. One approach is to compare weighted sums of the components of these random vectors using univariate dominance. In this paper we propose new concepts of stochastically weighted dominance. The ma...