The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator
In this paper, a nonparametric estimator of ruin probability is introduced in a spectrally negative Lévy process where the jump component is a tempered <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</m...
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2021
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oai:doaj.org-article:95a83d3ea8b54a17a1752e49dfc6878a2021-11-11T18:13:53ZThe Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator10.3390/math92126542227-7390https://doaj.org/article/95a83d3ea8b54a17a1752e49dfc6878a2021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2654https://doaj.org/toc/2227-7390In this paper, a nonparametric estimator of ruin probability is introduced in a spectrally negative Lévy process where the jump component is a tempered <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>-stable subordinator. Given a discrete record of high-frequency data, a threshold technique is proposed to estimate the mean of the jump size and use the Fourier transform and the Pollaczek–Khinchin formula to construct the estimator of ruin probability. The convergence rate of the integrated squared error for the estimator is studied.Yuan GaoHonglong YouMDPI AGarticleruin probabilityspectrally negative Lévy processFourier transformhigh-frequency dataMathematicsQA1-939ENMathematics, Vol 9, Iss 2654, p 2654 (2021) |
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ruin probability spectrally negative Lévy process Fourier transform high-frequency data Mathematics QA1-939 |
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ruin probability spectrally negative Lévy process Fourier transform high-frequency data Mathematics QA1-939 Yuan Gao Honglong You The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator |
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In this paper, a nonparametric estimator of ruin probability is introduced in a spectrally negative Lévy process where the jump component is a tempered <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>-stable subordinator. Given a discrete record of high-frequency data, a threshold technique is proposed to estimate the mean of the jump size and use the Fourier transform and the Pollaczek–Khinchin formula to construct the estimator of ruin probability. The convergence rate of the integrated squared error for the estimator is studied. |
format |
article |
author |
Yuan Gao Honglong You |
author_facet |
Yuan Gao Honglong You |
author_sort |
Yuan Gao |
title |
The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator |
title_short |
The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator |
title_full |
The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator |
title_fullStr |
The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator |
title_full_unstemmed |
The Speed of Convergence of the Threshold Estimator of Ruin Probability under the Tempered <i>α</i>-Stable Lévy Subordinator |
title_sort |
speed of convergence of the threshold estimator of ruin probability under the tempered <i>α</i>-stable lévy subordinator |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/95a83d3ea8b54a17a1752e49dfc6878a |
work_keys_str_mv |
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1718431900345827328 |