Maximization of Returns under Value-at-Risk Constraints in Dynamic Fuzzy Asset Allocation

摘要

Dynamic portfolio allocation is discussed in asset management with fuzziness. By perception-based extension for fuzzy random variables, a dynamic portfolio model with value-at-risks of fuzzy random variables is introduced. By dynamic programming and mathematical programming, this paper derives analytical solutions for the optimization problem. A numerical example is given to discuss the results.