A Reinsurance and Investment Game between Two Insurers under the CEV Model. (21st August 2020)
- Record Type:
- Journal Article
- Title:
- A Reinsurance and Investment Game between Two Insurers under the CEV Model. (21st August 2020)
- Main Title:
- A Reinsurance and Investment Game between Two Insurers under the CEV Model
- Authors:
- Zhang, Gongliang
Cheng, Shuo
Li, Ziye
Cao, Ming - Other Names:
- Yu Wenguang Guest Editor.
- Abstract:
- Abstract : In this paper, the problem of nonzero-sum stochastic differential game between two competing insurance companies is considered, i.e., the relative performance concerns. A certain proportion of reinsurance can be taken out by each insurer to control his own risk. Moreover, each insurer can invest in a risk-free asset and risk asset with the price dramatically following the constant elasticity of variance (CEV) model. Based on the principle of dynamic programming, a general framework regarding Nash equilibrium for nonzero-sum games is established. For the typical case of exponential utilization, we, respectively, give the explicit solutions of the equilibrium strategy as well as the equilibrium function. Some numerical studies are provided at last which assist in obtaining some economic explanations.
- Is Part Of:
- Mathematical problems in engineering. Volume 2020(2020)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08-21
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2020/4696941 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14290.xml