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Pension Fund Asset Allocation: A Mean-Variance Model with CVaR Constraints

  • Yibing Chen*
  • , Xiaolei Sun
  • , Jianping Li
  • *Corresponding author for this work
  • Chinese Academy of Sciences
  • National Council for Social Security Fund

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we first review some important aspects of asset allocation for some typical large Social Security Reserve Funds (SSRFs) in the world. Then we present the mean-variance model with CVaR constraints as asset allocation methodology. Concerning the real circumstance in China, we apply the model to pension fund asset allocation. The empirical results show that to maintain purchase power of pension fund, certain proportion should be invested in stocks as well as direct equity investments. We also find that time horizon significantly influence asset allocation of pension fund. If time horizon is longer, more allocations to stocks and equity investments help the pension fund to achieve better performance.

Original languageEnglish
Pages (from-to)1302-1307
Number of pages6
JournalProcedia Computer Science
Volume108
DOIs
StatePublished - 2017
Externally publishedYes
EventInternational Conference on Computational Science ICCS 2017 - Zurich, Switzerland
Duration: 12 Jun 201714 Jun 2017

Keywords

  • asset allocation
  • CVaR constraints
  • mean-variance model
  • pension fund

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