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Bayesian operational risk models
Figini, Silvia; Gao, Lijun; Giudici, Paolo - In: The journal of operational risk 10 (2015) 2, pp. 45-60
Persistent link: https://www.econbiz.de/10011298859
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Approximations of value-at-risk as an extreme quantile of a random sum of heavy-tailed random variables
Hannah, Lincoln; Puza, Borek - In: The journal of operational risk 10 (2015) 2, pp. 1-21
Persistent link: https://www.econbiz.de/10011298869
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Modeling multivariate operational losses via copula-based distributions with g-and-h marginals
Bee, Marco; Hambuckers, Julien - In: The journal of operational risk 17 (2022) 1, pp. 81-111
Persistent link: https://www.econbiz.de/10014546257
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A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting
Wang, Chao; Gerlach, Richard - In: Journal of forecasting 43 (2024) 1, pp. 40-57
Persistent link: https://www.econbiz.de/10014443184
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Modeling uncertainty in financial tail risk : a forecast combination and weighted quantile approach
Storti, Giuseppe; Wang, Chao - In: Journal of forecasting 42 (2023) 7, pp. 1648-1663
Persistent link: https://www.econbiz.de/10014432743
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A modified Panjer algorithm for operational risk capital calculations
Guégan, Dominique; Hassani, Bertrand K. - In: The journal of operational risk 4 (2009/10) 4, pp. 53-72
Persistent link: https://www.econbiz.de/10003930046
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Forecasting VaR models under different volatility processes and distributions of return innovations
Dendramis, Yiannis; Spungin, Giles E.; Tzavalis, Elias - In: Journal of forecasting 33 (2014) 7, pp. 515-531
Persistent link: https://www.econbiz.de/10011282095
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Extreme value analysis of electricity demand in the UK
Chan, Stephen; Nadarajah, Saralees - In: Applied economics letters 22 (2015) 13/15, pp. 1246-1251
Persistent link: https://www.econbiz.de/10011312714
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On the evaluation of marginal expected shortfall
Caporin, Massimiliano; Santucci de Magistris, Paolo - In: Applied economics letters 19 (2012) 1/3, pp. 175-179
Persistent link: https://www.econbiz.de/10009412621
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Exponentially smoothing the skewed laplace distribution for value-at-risk forecasting
Gerlach, Richard; Lu, Zu-di; Huang, Hai - In: Journal of forecasting 32 (2013) 6, pp. 534-550
Persistent link: https://www.econbiz.de/10009789677