Asymptotic Estimates of Finite-Time Ruin Probabilities with Dependent Risks and CMC Simulations |
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Authors: | BAI Mingyan PENG Jiangyan JING Haojie |
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Affiliation: | School of Mathematical Sciences, University of Electronic Science and Technology of China,Chengdu, 611731, China |
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Abstract: | We consider a discrete-time risk model with dependence structures, where the claim-sizes {X_n}_{ngeq1} follow a one-sided linear process with independent and identically distributed (i.i.d.) innovations ${varepsilon_n}_{ngeq1}$, and the innovations and financial risks form a sequence of independent and identically distributed copies of a random pair $(varepsilon,Y)$ with dependent components. When the product varepsilon Y has a heavy-tailed distribution, we establish some asymptotic estimates of the ruin probabilities in this discrete-time risk model. Finally, we use a Crude Monte Carlo (CMC) simulation to verify our results. |
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Keywords: | asymptotic estimate,one-sided linear process dependent risks,product,heavy-tailed distribution, |
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