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Markov Chain Models in Insurance Behavior by Raghda Hussien is a document available to read on EtoBox.

The document discusses the modeling of policy holder behavior in life insurance and pension using Markov chains, focusing on the interaction between insurance risk and behavioral risk. It emphasizes the importance of accurately calculating reserves based on expected policy holder behavior, particularly in relation to options like surrender and free policy. The analysis includes various modeling approaches and their implications for reserve calculations, highlighting the necessity of considering both risk an

Author
Raghda Hussien
Language
EN