4.7 Article

A risk index model for multi-period uncertain portfolio selection

期刊

INFORMATION SCIENCES
卷 217, 期 -, 页码 108-116

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2012.06.017

关键词

Portfolio selection; Uncertain programming; Multi-period portfolio selection; Mean-risk index model; Risk index

资金

  1. National Natural Science Foundation of China [70871011, 71171018]
  2. Program for New Century Excellent Talents in University
  3. Fundamental Research Funds for the Central Universities

向作者/读者索取更多资源

This paper discusses a multi-period portfolio selection problem when security returns are given by experts' evaluations. The security return rates are regarded as uncertain variables and an uncertain risk index adjustment model is proposed. Optimal portfolio adjustments are determined with the objective of maximizing the total incremental wealth within the constraints of controlling the cumulative risk index value over the investment horizon and satisfying self-financing at each period. To enable the users to solve the model problem with currently available programming tools, an equivalent of the model is provided. In addition, a method of obtaining the uncertainty distributions of the security returns is given based on experts' evaluations, and a selection example is presented. (C) 2012 Elsevier Inc. All rights reserved.

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