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Estimating and predicting value-at-risk in the presence of structural breaks : A study based on unbiased extreme value volatility estimator
Kumar, Dilip - In: The journal of prediction markets 14 (2020) 1, pp. 27-48
Persistent link: https://www.econbiz.de/10012667394
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A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies
Trucíos, Carlos; Taylor, James W. - In: Journal of forecasting 42 (2023) 4, pp. 989-1007
Persistent link: https://www.econbiz.de/10014292894
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Predicting extreme VaR : nonparametric quantile regression with refinements from extreme value theory
Schaumburg, Julia - 2010
extreme value theory. The out-of-sample forecasting performance of our methods turns out to be clearly superior to different … management ; extreme value theory ; monotonization ; CAViaR …
Persistent link: https://www.econbiz.de/10003952845
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The modeling and forecasting of extreme events in electricity spot markets
Herrera, Rodrigo; González, Nicolás - In: International journal of forecasting 30 (2014) 3, pp. 477-490
Persistent link: https://www.econbiz.de/10010511552
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Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling
Berger, Theo; Missong, Martin - In: International review of financial analysis 33 (2014), pp. 33-38
Persistent link: https://www.econbiz.de/10010520086
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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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Assessing coherent value-at-risk and expected shortfall with extreme expectiles
Daouia, Abdelaati; Girard, Stéphane; Stupfler, Gilles - 2015
Persistent link: https://www.econbiz.de/10011302290
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Improving forecast of binary rare events data : a GAM-based approach
Calabrese, Raffaella; Osmetti, Silvia Angela - In: Journal of forecasting 34 (2015) 3, pp. 230-239
Persistent link: https://www.econbiz.de/10011305247
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Modeling commodity value at risk with Psi Sigma neural networks using open-high-low-close data
Sermpinis, Georgios; Laws, Jason; Dunis, Christian - In: The European journal of finance 21 (2015) 4/6, pp. 316-336
Persistent link: https://www.econbiz.de/10010528195
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Energy risk management through self-exciting marked point process
Herrera, Rodrigo - In: Energy economics 38 (2013), pp. 64-76
Persistent link: https://www.econbiz.de/10009763643