POLYHEDRAL COHERENT RISK MEASURES AND OPTIMAL PORTFOLIOS ON THE REWARD-RISK RATIO

摘要

Problems of finding the optimal portfolio decisions on the reward-risk ratio under risk and partial uncertainty conditions are analyzed. It is shown how such problems can be reduced to linear programming problems, both in the case of known distributions of random variables and in the case of imprecise scenario probabilities. Application examples are considered.