Non-zero-sum reinsurance and investment game between two mean-variance insurers under the CEV model. (2nd December 2021)
- Record Type:
- Journal Article
- Title:
- Non-zero-sum reinsurance and investment game between two mean-variance insurers under the CEV model. (2nd December 2021)
- Main Title:
- Non-zero-sum reinsurance and investment game between two mean-variance insurers under the CEV model
- Authors:
- Zhu, Huainian
Cao, Ming
Zhu, Ying - Abstract:
- Abstract : This paper considers a non-zero-sum stochastic differential game between two competitive mean-variance insurers, who aim to seek the time-consistent reinsurance and investment strategies. These two insurers are allowed to purchase proportional reinsurance to mitigate individual claim risks; and can invest in one risk-free asset and one risky asset whose price dynamics follows the constant elasticity of variance model. The main objective of each insurer is to maximizing the mean-variance utility of his relative terminal wealth with respect to that of his competitor. Applying the techniques of stochastic control theory, we derive the Nash equilibrium reinsurance and investment strategies explicitly and present the corresponding verification theorem. Furthermore, Nash equilibrium strategies and value functions are also provided under the diffusion approximation model. Finally, we perform some numerical examples to illustrate the influence of model parameters on the equilibrium reinsurance and investment strategies and draw some economic interpretations from these results.
- Is Part Of:
- Optimization. Volume 70:Number 12(2021)
- Journal:
- Optimization
- Issue:
- Volume 70:Number 12(2021)
- Issue Display:
- Volume 70, Issue 12 (2021)
- Year:
- 2021
- Volume:
- 70
- Issue:
- 12
- Issue Sort Value:
- 2021-0070-0012-0000
- Page Start:
- 2579
- Page End:
- 2606
- Publication Date:
- 2021-12-02
- Subjects:
- Non-zero-sum stochastic differential game -- relative performance -- CEV model -- Nash equilibrium -- extended Hamilton–Jacobi–Bellman equation
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2020.1789130 ↗
- Languages:
- English
- ISSNs:
- 0233-1934
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6275.100000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19967.xml