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  • Search: subject:"Breiman’s theorem"
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Year of publication
Subject
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Breiman’s theorem 3 asymptotics 2 max-domain of attraction 2 multivariate regular variation 2 ruin probability 2 Farlie–Gumbel–Morgenstern 1 Max-domain of attraction 1 Probability theory 1 Product 1 Risiko 1 Risk 1 Tail probability 1 Theorie 1 Theory 1 Wahrscheinlichkeitsrechnung 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 1
Author
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Liu, Jing 2 Zhang, Huan 2 Hu, Shuhe 1 Wu, Tao 1 Yang, Yingying 1
Published in...
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Risks 1 Risks : open access journal 1 Statistics & Probability Letters 1
Source
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ECONIS (ZBW) 1 EconStor 1 RePEc 1
Showing 1 - 3 of 3
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Asymptotic estimates for the one-year ruin probability under risky investments
Liu, Jing; Zhang, Huan - In: Risks 5 (2017) 2, pp. 1-11
Motivated by the EU Solvency II Directive, we study the one-year ruin probability of an insurer who makes investments and hence faces both insurance and financial risks. Over a time horizon of one year, the insurance risk is quantified as a nonnegative random variable X equal to the aggregate...
Persistent link: https://www.econbiz.de/10011709594
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Cover Image
Asymptotic estimates for the one-year ruin probability under risky investments
Liu, Jing; Zhang, Huan - In: Risks : open access journal 5 (2017) 2, pp. 1-11
Motivated by the EU Solvency II Directive, we study the one-year ruin probability of an insurer who makes investments and hence faces both insurance and financial risks. Over a time horizon of one year, the insurance risk is quantified as a nonnegative random variable X equal to the aggregate...
Persistent link: https://www.econbiz.de/10011643424
Saved in:
Cover Image
The tail probability of the product of dependent random variables from max-domains of attraction
Yang, Yingying; Hu, Shuhe; Wu, Tao - In: Statistics & Probability Letters 81 (2011) 12, pp. 1876-1882
In this article, we investigate the tail probability of the product of finitely many non-negative dependent random variables. They follow distributions from max-domains of attraction of extreme value distributions and their dependence is modeled via a multivariate Farlie–Gumbel–Morgenstern...
Persistent link: https://www.econbiz.de/10010576134
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