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

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

DOI:
10.1109/fuzz-ieee.2017.8015420
复制
发表时间:
2017-07
期刊:
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
影响因子:
--
通讯作者:
Y. Yoshida
Y. Yoshida
中科院分区:
其他
文献类型:
--
作者:
Y. Yoshida

文献摘要

相似文献

讨论了具有模糊性的资产管理中的动态投资组合配置问题。通过对模糊随机变量的基于感知的扩展,引入了模糊随机变量风险价值的动态投资组合模型。通过动态规划和数学规划,导出了优化问题的解析解。最后给出了数值算例。
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.