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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/291851
Title: On large excursions probabilities for Gaussian copula vector processes. Applications in reliability and finance
Authors: Piterbarg, V. I.
Alieva, P. N.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2022
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 168-171.
Abstract: We study an asymptotic behavior of the ruin probability P( max t∈[0,T] Q n (t) > x T ), t = 0,1,2,..., for T = 0 and large x = x0 (instant ruin probability) and for large both T and x T (global ruin probability). The random process Qn(t) models portfolio Qn(t) = ∑n i=1 λiXi(t), where Xi(t),i = 1,...,n, are independent random sequences, they can be interpreted as the financial loss amount in time claimed from the ith direct insurer or as reliability index of components of a technical system. Weights λi, i = 1,...n, are the proportionality factors of the risks being shared. It is assumed that the risks Xi(t), i = 1,...,n, are Weibull like in a sense that they are similar to Weibull ones in terms of the probability of producing large values.
URI: https://elib.bsu.by/handle/123456789/291851
ISBN: 978-985-881-420-5
Licence: info:eu-repo/semantics/restrictedAccess
Appears in Collections:2022. Computer Data Analysis and Modeling: Stochastics and Data Science

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