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Tail behavior of supremum of a random walk when Cramér’s condition fails

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Abstract

We investigate tail behavior of the supremum of a random walk in the case that Cramér’s condition fails, namely, the intermediate case and the heavy-tailed case. When the integrated distribution of the increment of the random walk belongs to the intersection of exponential distribution class and O-subexponential distribution class, under some other suitable conditions, we obtain some asymptotic estimates for the tail probability of the supremum and prove that the distribution of the supremum also belongs to the same distribution class. The obtained results generalize some corresponding results of N. Veraverbeke. Finally, these results are applied to renewal risk model, and asymptotic estimates for the ruin probability are presented.

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Authors and Affiliations

  1. School of Mathematical Sciences, Soochow University, Suzhou, 215006, China

    Changjun Yu & Yuebao Wang

  2. School of Sciences, Nantong University, Nantong, 226019, China

    Changjun Yu

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  1. Changjun Yu
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  2. Yuebao Wang
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Correspondence to Yuebao Wang.

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Yu, C., Wang, Y. Tail behavior of supremum of a random walk when Cramér’s condition fails. Front. Math. China 9, 431–453 (2014). https://doi.org/10.1007/s11464-013-0302-1

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  • DOI: https://doi.org/10.1007/s11464-013-0302-1

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