Portfolio selection of the defined contribution pension fund with uncertain return and salary: A multi-period mean-variance model

  • Yali Liu
  • , Meiying Yang
  • , Jia Zhai*
  • , Manying Bai
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper applies uncertainty theory to the asset allocation problem for a defined contribution pension fund under a multi-period mean-variance framework. Different from most studies in the literature, both the security return and the salary are considered and assumed to be uncertain variables in this paper. The optimal portfolio adjustments are determined by minimizing the risk within the constraints of controlling the expected total incremental wealth with a minimum guarantee over the investment horizon. The transaction cost is also taken into account to simulate the real capital market. Finally, some special cases are discussed, and a numerical example is presented to illustrate the effectiveness of the model we proposed.

Original languageEnglish
Pages (from-to)2363-2371
Number of pages9
JournalJournal of Intelligent and Fuzzy Systems
Volume34
Issue number4
DOIs
StatePublished - 2018

Keywords

  • Portfolio selection
  • defined contribution pension fund
  • multi-period mean-variance model
  • uncertainty theory

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