This paper surveys the use of Monte Carlo sampling-based methods for stochastic
optimization problems. Such methods are required when—as it often happens in practice …

This paper surveys the most recent advances in the context of decision making under
uncertainty, with an emphasis on the modeling of risk-averse preferences using the …

In portfolio optimization, the computational complexity of implementing almost stochastic
dominance has limited its practical applications. In this study, we introduce an optimization …

The allocation of resources to alternative investment opportunities is one of the most
important decisions organizations and individuals face. These decisions can be guided by …

We develop an optimization method for constructing investment portfolios that dominate a
given benchmark portfolio in terms of third-degree stochastic dominance. Our approach …

The paper considers modelling of risk-averse preferences in stochastic programming
problems using risk measures. We utilize the axiomatic foundation of coherent risk …

Abstract The Environmental Performance Index (EPI) is a popular sustainability index. It is a
composite index which ranks 180 countries based on their environmental performance in 32 …

Second order Stochastic Dominance (SSD) has a well recognised importance in portfolio
selection, since it provides a natural interpretation of the theory of risk-averse investor …

Second-order stochastic dominance (SSD) is widely recognised as an important decision
criterion in portfolio selection. Unfortunately, stochastic dominance models are known to be …

In this paper we study optimization problems with second-order stochastic dominance
constraints. This class of problems allows for the modeling of optimization problems where a …