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  • Search: subject:"loss severity modeling"
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Year of publication
Subject
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Value‐at‐Risk 2 copula 2 loss severity modeling 2 risk management 2 simulation 2 Estimation theory 1 Multivariate Verteilung 1 Multivariate distribution 1 Risikomanagement 1 Risikomaß 1 Risikomodell 1 Risk management 1 Risk measure 1 Risk model 1 Schätztheorie 1 Simulation 1
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Online availability
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Free 2
Type of publication
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Article 2
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
Author
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Chang, KC 2 Guharay, Sabyasachi 2 Xu, Jie 2
Published in...
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Risks 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Robust estimation of value-at-risk through distribution-free and parametric approaches using the joint severity and frequency model: Applications in financial, actuarial, and natural calamities domains
Guharay, Sabyasachi; Chang, KC; Xu, Jie - In: Risks 5 (2017) 3, pp. 1-29
Value-at-Risk (VaR) is a well-accepted risk metric in modern quantitative risk management (QRM). The classical Monte Carlo simulation (MCS) approach, denoted henceforth as the classical approach, assumes the independence of loss severity and loss frequency. In practice, this assumption does not...
Persistent link: https://www.econbiz.de/10011996655
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Cover Image
Robust estimation of value-at-risk through distribution-free and parametric approaches using the joint severity and frequency model : applications in financial, actuarial, and natural calamities domains
Guharay, Sabyasachi; Chang, KC; Xu, Jie - In: Risks : open access journal 5 (2017) 3, pp. 1-29
Value-at-Risk (VaR) is a well-accepted risk metric in modern quantitative risk management (QRM). The classical Monte Carlo simulation (MCS) approach, denoted henceforth as the classical approach, assumes the independence of loss severity and loss frequency. In practice, this assumption does not...
Persistent link: https://www.econbiz.de/10011687895
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