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Research on Optimal Investment Reinsurance of Insurance Companies under Delayed Risk Model

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  • Yun Xiao
  • Zhijian Qiu

Abstract

The reinsurance and investment portfolio of insurance companies has always been a hot issue in insurance business. In insurance practice, it is inevitable for insurance companies to invest their own funds in order to expand their capital scale and enhance market competitiveness so as to obtain greater returns. At the same time, in order for insurance companies to disperse insurance risks and to avoid too concentrated claims or catastrophes caused by failure to perform compensation responsibilities, the purchase of reinsurance business has also become an important way. Stochastic control theory is widely used in reinsurance and investment issues. Based on the reinsurance system architecture, this paper establishes a reinsurance delay risk investment model, which reduces the amount of claims to be borne by buying proportional reinsurance to avoid bankruptcy caused by the excessive amount of claims. By using the delayed venture capital model to describe the earnings of insurance companies, the optimal investment and reinsurance strategy are solved under the optimization criterion of minimizing the probability of bankruptcy. By analyzing the model parameter data, the influence of each parameter on optimal investment strategy and optimal reinsurance strategy is discussed.

Suggested Citation

  • Yun Xiao & Zhijian Qiu, 2021. "Research on Optimal Investment Reinsurance of Insurance Companies under Delayed Risk Model," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, December.
  • Handle: RePEc:hin:jnlmpe:9287659
    DOI: 10.1155/2021/9287659
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