Time-Consistent Investment-Reinsurance Strategies for the Insurer and the Reinsurer under the Generalized Mean-Variance Criteria

被引:4
作者
Xiao, Helu [1 ]
Ren, Tiantian [2 ]
Bai, Yanfei [2 ]
Zhou, Zhongbao [2 ]
机构
[1] Hunan Normal Univ, Sch Business, Changsha 410081, Hunan, Peoples R China
[2] Hunan Univ, Sch Business Adm, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
investment and reinsurance; insurer and reinsurer; generalized mean-variance criteria; time-consistent strategy; DYNAMIC PORTFOLIO SELECTION; ROBUST OPTIMAL INVESTMENT; PROPORTIONAL REINSURANCE; JOINT INTERESTS; OPTIMIZATION; DISCRETE;
D O I
10.3390/math7090857
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Most of the existing literature on optimal investment-reinsurance only studies from the perspective of insurers and also treats the investment-reinsurance decision as a continuous process. However, in practice, the benefits of reinsurers cannot be ignored, nor can decision-makers engage in continuous trading. Under the discrete-time framework, we first propose a multi-period investment-reinsurance optimization problem considering the joint interests of the insurer and the reinsurer, among which their performance is measured by two generalized mean-variance criteria. We derive the time-consistent investment-reinsurance strategies for the proposed model by maximizing the weighted sum of the insurer's and the reinsurer's mean-variance objectives. We discuss the time-consistent investment-reinsurance strategies under two special premium principles. Finally, we provide some numerical simulations to show the impact of the intertemporal restrictions on the time-consistent investment-reinsurance strategies. These results indicate that the intertemporal restrictions will urge the insurer and the reinsurer to shrink the position invested in the risky asset; however, for the time-consistent reinsurance strategy, the impact of the intertemporal restrictions depends on who is the leader in the proposed model.
引用
收藏
页数:25
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共 28 条
  • [1] Dynamic Mean-Variance Asset Allocation
    Basak, Suleyman
    Chabakauri, Georgy
    [J]. REVIEW OF FINANCIAL STUDIES, 2010, 23 (08) : 2970 - 3016
  • [2] Time-Consistent Portfolio Selection under Short-Selling Prohibition: From Discrete to Continuous Setting
    Bensoussan, A.
    Wong, K. C.
    Yam, S. C. P.
    Yung, S. P.
    [J]. SIAM JOURNAL ON FINANCIAL MATHEMATICS, 2014, 5 (01): : 153 - 190
  • [3] Bjork T., A general theory of markovian time inconsistent stochastic control problems
  • [4] A theory of Markovian time-inconsistent stochastic control in discrete time
    Bjork, Tomas
    Murgoci, Agatha
    [J]. FINANCE AND STOCHASTICS, 2014, 18 (03) : 545 - 592
  • [5] Brandt MW, 2010, HANDB FINANC, P269, DOI 10.1016/B978-0-444-50897-3.50008-0
  • [6] Multiperiod mean-variance optimization with intertemporal restrictions
    Costa, O. L. V.
    Nabholz, R. B.
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2007, 134 (02) : 257 - 274
  • [7] A generalized multi-period mean-variance portfolio optimization with Markov switching parameters
    Costa, Oswaldo L. V.
    Araujo, Michael V.
    [J]. AUTOMATICA, 2008, 44 (10) : 2487 - 2497
  • [8] Optimal mean-variance control for discrete-time linear systems with Markovian jumps and multiplicative noises
    Costa, Oswaldo L. V.
    de Oliveira, Alexandre
    [J]. AUTOMATICA, 2012, 48 (02) : 304 - 315
  • [9] Unified Framework of Mean-Field Formulations for Optimal Multi-Period Mean-Variance Portfolio Selection
    Cui, Xiangyu
    Li, Xun
    Li, Duan
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (07) : 1833 - 1844
  • [10] Optimal reinsurance and investment problem with default risk and bounded memory
    Deng, Chao
    Bian, Wenlong
    Wu, Baiyi
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2020, 93 (12) : 2982 - 2994