The optimal reinsurance-investment strategies considering the interests of both the insurer and reinsurer are investigated. The surplus process is assumed to follow a jump-diffusion process and the insurer is permitted to purchase proportional reinsurance from the reinsurer. Applying dynamic programming approach and dual theory, the corresponding Hamilton-Jacobi-Bellman equations are derived and the optimal strategies for exponential utility function are obtained. In addition, several sensitivity analyses and numerical illustrations in the case with exponential claiming distributions are presented to analyze the effects of parameters about the optimal strategies
In this paper, we study optimal investment policies of an insurer with jump-diffusion risk process. ...
On the premise of considering the interests of insurance companies and reinsurance companies at the ...
In this paper, we study the optimal investment and proportional reinsurance strategy when an insuran...
We consider an insurance company whose surplus is governed by a jump diffusion risk process. The ins...
We study the optimal proportional reinsurance and investment problem in a general jump-diffusion fin...
This paper considers the investment-reinsurance problems for an insurer with uncertain time-horizon ...
In the whole paper, the claim process is assumed to follow a Brownian motion with drift and the insu...
This paper focuses on the optimal reinsurance problem with consideration of joint interests of an in...
This paper analyzes the optimal reinsurance strategy for insurers with a generalized mean-variance p...
Based on the mean-variance criterion, this paper investigates the continuous-time reinsurance and in...
Celem pracy jest znalezienie optymalnej strategii reasekuracyjnej i inwestycyjnej, która maksymalizu...
We extend previous research by considering the role of reinsurance in hedging underwriting risk, pri...
© 2017 Dr. Nan ZhangThis thesis studies several optimal reinsurance problems with risk management fr...
In this paper, Aiming at the delay claim risk model, the optimal investment and optimal reinsurance ...
We study an optimal investment-reinsurance problem for an insurer who faces dynamic risk constraint ...
In this paper, we study optimal investment policies of an insurer with jump-diffusion risk process. ...
On the premise of considering the interests of insurance companies and reinsurance companies at the ...
In this paper, we study the optimal investment and proportional reinsurance strategy when an insuran...
We consider an insurance company whose surplus is governed by a jump diffusion risk process. The ins...
We study the optimal proportional reinsurance and investment problem in a general jump-diffusion fin...
This paper considers the investment-reinsurance problems for an insurer with uncertain time-horizon ...
In the whole paper, the claim process is assumed to follow a Brownian motion with drift and the insu...
This paper focuses on the optimal reinsurance problem with consideration of joint interests of an in...
This paper analyzes the optimal reinsurance strategy for insurers with a generalized mean-variance p...
Based on the mean-variance criterion, this paper investigates the continuous-time reinsurance and in...
Celem pracy jest znalezienie optymalnej strategii reasekuracyjnej i inwestycyjnej, która maksymalizu...
We extend previous research by considering the role of reinsurance in hedging underwriting risk, pri...
© 2017 Dr. Nan ZhangThis thesis studies several optimal reinsurance problems with risk management fr...
In this paper, Aiming at the delay claim risk model, the optimal investment and optimal reinsurance ...
We study an optimal investment-reinsurance problem for an insurer who faces dynamic risk constraint ...
In this paper, we study optimal investment policies of an insurer with jump-diffusion risk process. ...
On the premise of considering the interests of insurance companies and reinsurance companies at the ...
In this paper, we study the optimal investment and proportional reinsurance strategy when an insuran...