Findings on Insurance Economics from L. Chen and Colleagues Provide New Insights (Constrained investment-reinsurance optimization with regime…
Findings on Insurance Economics from
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Our news journalists obtained a quote from the research, "The insurer can invest in a risk-free bond and a risky asset, where the underlying models for investment assets are modulated by a continuous-time, finite-state, observable Markov chain. The insurer can also purchase proportional reinsurance to reduce the exposure to insurance risk. The variance principle is adopted to calculate the reinsurance premium, and Markov-modulated constraints on both investment and reinsurance strategies are considered. Explicit expressions for the optimal strategies and value functions are derived by solving the corresponding regime-switching Hamilton-Jacobi-Bellman equations."
According to the news editors, the research concluded: "Numerical examples for optimal solutions in the Markov-modulated diffusion approximation model are provided to illustrate our results."
For more information on this research see: Constrained investment-reinsurance optimization with regime switching under variance premium principle. Insurance Mathematics & Economics, 2016;71():253-267. Insurance Mathematics & Economics can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae
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