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An Recursive Algorithm for Ruin Risk in Uncertain Random Environment

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Published:21 March 2021Publication History

ABSTRACT

To investigate the risk of ruin in uncertainty environment is important for avoiding the potential problem and taking some precaution. However, the effect of uncertain environment on the risk of ruin is largely vague. This paper uses uncertain theory to study the risk model in an uncertain environment, in which the claim sizes are influenced by an external uncertain process. Recursive equations for finite time ruin rate and uncertainty distribution of the first hitting time are derived. Aslo, the ultimate ruin rate and the joint certainty distribution of surplus before and after ruin are obtained.

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  1. An Recursive Algorithm for Ruin Risk in Uncertain Random Environment

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      cover image ACM Other conferences
      BIC 2021: Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing
      January 2021
      445 pages
      ISBN:9781450390002
      DOI:10.1145/3448748

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      Publication History

      • Published: 21 March 2021

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