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  • Search: subject:"Mean Excess Loss"
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Year of publication
Subject
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Conditional volatility 2 Default Correlation 2 Markov Switching MS-GARCH 2 Mean Excess Loss 2 Multivariate GARCH 2 Skew Student T 2 Software R 2 ARCH model 1 ARCH-Modell 1 Correlation 1 Estimation 1 Euro 1 Exchange rate 1 Forecasting model 1 Korrelation 1 Markov chain 1 Markov-Kette 1 Prognoseverfahren 1 Risikomaß 1 Risk measure 1 Schätzung 1 Statistical distribution 1 Statistische Verteilung 1 Theorie 1 Theory 1 Virtual currency 1 Virtuelle Währung 1 Volatility 1 Volatilität 1 Wechselkurs 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 2
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2
Author
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Gohs, Andreas Marcus 2
Published in...
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Joint discussion paper series in economics : publ. by the Universities of Aachen, Gießen, Göttingen, Kassel, Marburg, Siegen 1 MAGKS Joint Discussion Paper Series in Economics 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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The choice of GARCH models to forecast value-at-risk for currencies (euro exchange rates), crypto assets (Bitcoin and Ethereum), gold, silver and crude oil: Automated processes, statistical distribution models and the specification of the mean equation
Gohs, Andreas Marcus - 2022
Regular or automated processes require reliable software applications that provide accurate volatility and Value-at-Risk forecasts. The univariate and multivariate GARCH models proposed in the literature are reviewed and the suitability of selected R functions for automated forecasting systems...
Persistent link: https://www.econbiz.de/10014322586
Saved in:
Cover Image
The choice of GARCH models to forecast value-at-risk for currencies (euro exchange rates), crypto assets (Bitcoin and Ethereum), gold, silver and crude oil : automated processes, statistical distribution models and the specification of the mean equation
Gohs, Andreas Marcus - 2022
Regular or automated processes require reliable software applications that provide accurate volatility and Value-at-Risk forecasts. The univariate and multivariate GARCH models proposed in the literature are reviewed and the suitability of selected R functions for automated forecasting systems...
Persistent link: https://www.econbiz.de/10013474092
Saved in:
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