Optimal asset allocation for DC pension subject to allocation and terminal wealth constraints under a remuneration scheme

被引:0
|
作者
Dong, Yinghui [1 ]
Shi, Mengyuan [1 ]
Hua, Chunrong [2 ]
机构
[1] Suzhou Univ Sci & Technol, Sch Math & Phys, Suzhou 215009, Peoples R China
[2] Changshu Inst Technol, Dept Math & Stat, Changshu, Peoples R China
关键词
DC pension; closed convex cone; dual control; concavification; ES constraint; C61; G11; C20; OPTIMAL INVESTMENT; PORTFOLIO SELECTION; OPTIMAL MANAGEMENT; PLAN; POLICIES; FUND;
D O I
10.1080/03610926.2024.2316282
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We investigate the optimal investment problem faced by a defined contribution (DC) pension fund manager under simultaneous allocation and expected shortfall (ES) constraints. Under a non concave utility, a Value-at-Risk (VaR) constraint does not lead to the full prevention of moral hazard. As a widely employed risk management tool, whether an ES constraint can provide a more effective protection than a VaR constraint has been a focus point of research. We apply a dual control approach and a concavification technique to solve the ES-constrained optimization problem for a DC pension plan under an incentive scheme and derive the closed-form representations of the optimal wealth and portfolio processes. Furthermore, we compare the effect of an ES constraint on the optimal investment behavior with that under a VaR constraint in the presence of an option-like scheme for the DC pension members. Theoretical and numerical results show that for a relatively low protection level, a joint VaR and an ES constraints induce the same structure of the optimal solution, which implies that for a non concave optimization problem, the ES-based risk management has lost its advantage over the VaR-based risk management. Therefore, it needs to design a more efficient risk measure to improve the risk management for a DC pension plan.
引用
收藏
页数:28
相关论文
共 50 条
  • [41] Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates
    Josa-Fombellida, Ricardo
    Pablo Rincon-Zapatero, Juan
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 201 (01) : 211 - 221
  • [42] Optimal annuitization and asset allocation under linear habit formation
    Guan, Guohui
    Liang, Zongxia
    Ma, Xingjian
    [J]. INSURANCE MATHEMATICS & ECONOMICS, 2024, 114 : 176 - 191
  • [43] Optimal strategies for asset allocation and consumption under stochastic volatility
    Zhang, Qiang
    Ge, Lei
    [J]. APPLIED MATHEMATICS LETTERS, 2016, 58 : 69 - 73
  • [44] Optimal bit allocation under multiple rate constraints
    Ortega, A
    [J]. DCC '96 - DATA COMPRESSION CONFERENCE, PROCEEDINGS, 1996, : 349 - 358
  • [45] Optimal asset allocation and consumption rules for commodity-based sovereign wealth funds
    Moutanabbir, Khouzeima
    Noureldin, Diaa
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2020, 69 : 708 - 730
  • [46] A Relay Selection Scheme under Optimal Power Allocation
    Kenan, Zhou
    Lok, Tat Ming
    [J]. 2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS), VOLS 1-3, 2008, : 1609 - 1613
  • [47] The Impact of Longevity Risk on the Optimal Contribution Rate and Asset Allocation for Defined Contribution Pension Plans
    Sharon S Yang
    Hong-Chih Huang
    [J]. The Geneva Papers on Risk and Insurance - Issues and Practice, 2009, 34 : 660 - 681
  • [48] The Impact of Longevity Risk on the Optimal Contribution Rate and Asset Allocation for Defined Contribution Pension Plans
    Yang, Sharon S.
    Huang, Hong-Chih
    [J]. GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE, 2009, 34 (04): : 660 - 681
  • [49] Optimal asset allocation for participating contracts under the VaR and PI constraint
    Dong, Yinghui
    Wu, Sang
    Lv, Wenxin
    Wang, Guojing
    [J]. SCANDINAVIAN ACTUARIAL JOURNAL, 2020, 2020 (02) : 84 - 109
  • [50] Optimal asset allocation under search frictions and stochastic interest rate
    Wang, Ning
    Zhu, Song-Ping
    Elliott, Robert J. J.
    [J]. QUANTITATIVE FINANCE, 2021,