Optimization of dynamic maximum for value-at-risks with fuzziness in asset management

A dynamic portfolio allocation is discussed in asset management with fuzziness. By perception-based extension for fuzzy random variables, a dynamic portfolio model for 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 demonstrate the results.