Time-consistent reinsurance and investment strategy combining quota-share and excess of loss for mean-variance insurers with jump-diffusion price process
Peng Yang,
Zhiping Chen and
Liyuan Wang
Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 11, 2546-2568
Abstract:
This article investigates an optimal time-consistent reinsurance and investment problem under the mean-variance criterion for an insurer whose surplus process is governed by a compound Poisson risk model. The insurer is allowed to purchase combining quota-share and excess of loss reinsurance for claims and to invest in financial market to increase his wealth. The financial market consists of a risk-free asset and a risky asset whose price process follows a jump-diffusion process. The insurer wants to find an optimal time-consistent reinsurance-investment strategy so as to maximize the expected terminal surplus while minimizing the variance of the terminal surplus. By using the stochastic control technique, we obtain the explicit solutions for the optimal reinsurance-investment strategy and the corresponding optimal value function. Finally, numerical experiments are carried out to illustrate the effects of model parameters on the optimal time-consistent reinsurance-investment strategy, and to compare the pure excess of loss reinsurance with the pure quota-share reinsurance through analyzing the optimal value function.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1670849 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:50:y:2021:i:11:p:2546-2568
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2019.1670849
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().