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  • Search: subject:"Volatility forecast evaluation"
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Year of publication
Subject
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ARCH-Modell 5 Schätzung 5 Volatilität 5 ARCH model 4 Börsenkurs 4 Estimation 4 Fractional integration 4 Stock returns 4 Volatility 4 Volatility forecast evaluation 4 Asymmetric Power ARCH 3 Industrieländer 3 Kapitaleinkommen 3 Korrelation 3 Multivariate Analyse 3 Share price 3 Theorie 3 Aktienmarkt 2 Capital income 2 Correlation 2 Estimation theory 2 Forecasting model 2 Industrialized countries 2 Multivariate analysis 2 Prognoseverfahren 2 Schätztheorie 2 Stock market 2 Theory 2 Time series analysis 2 Volatility Forecast Evaluation 2 Zeitreihenanalyse 2 1988-2004 1 AddRS Estimator 1 Asymmetric power ARCH 1 Australia 1 Australien 1 CARR Model 1 GARCH 1 GARCH Family of Models 1 High-Frequency Volatility 1
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Online availability
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Free 4 Undetermined 2
Type of publication
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Book / Working Paper 4 Article 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Thesis 1
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Language
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English 6 Undetermined 1
Author
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Conrad, Christian 4 Karanasos, Menelaos 4 Zeng, Ning 4 De Mello, Lurion 1 Doolan, Mark Bernard 1 Kumar, Dilip 1 Sadeghi, Mehdi 1 Zhang, Kai 1
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Institution
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Alfred-Weber-Institut für Wirtschaftswissenschaften, Fakultät für Wirtschafts- und Sozialwissenschaften 1
Published in...
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Theoretical economics letters 2 Discussion Paper Series 1 Discussion paper series / University of Heidelberg, Department of Economics 1 Journal of empirical finance 1 Working Papers / Alfred-Weber-Institut für Wirtschaftswissenschaften, Fakultät für Wirtschafts- und Sozialwissenschaften 1
Source
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ECONIS (ZBW) 4 BASE 1 EconStor 1 RePEc 1
Showing 1 - 7 of 7
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Volatility prediction : a study with structural breaks
Kumar, Dilip - In: Theoretical economics letters 8 (2018) 6, pp. 1218-1231
Persistent link: https://www.econbiz.de/10011888198
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Evaluating volatility forecasts with ultra-high-frequency data : evidence from the Australian equity market
Zhang, Kai; De Mello, Lurion; Sadeghi, Mehdi - In: Theoretical economics letters 8 (2018) 1, pp. 1-27
Persistent link: https://www.econbiz.de/10011842038
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Evaluating multivariate volatility forecasts : how effective are statistical and economic loss functions?
Doolan, Mark Bernard - 2011
Multivariate volatility forecasts are an important input in many financial applications, in particular portfolio optimisation problems. Given the number of models available and the range of loss functions to discriminate between them, it is obvious that selecting the optimal forecasting model is...
Persistent link: https://www.econbiz.de/10009438015
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Multivariate Fractionally Integrated APARCH Modeling of Stock Market Volatility: A multi-country study
Conrad, Christian; Karanasos, Menelaos; Zeng, Ning - 2008
Tse (1998) proposes a model which combines the fractionally integrated GARCH formulation of Baillie, Bollerslev and Mikkelsen (1996) with the asymmetric power ARCH specification of Ding, Granger and Engle (1993). This paper analyzes the applicability of a multivariate constant conditional...
Persistent link: https://www.econbiz.de/10011422185
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Multivariate Fractionally Integrated APARCH Modeling of Stock Market Volatility: A multi-country study
Conrad, Christian; Karanasos, Menelaos; Zeng, Ning - Alfred-Weber-Institut für Wirtschaftswissenschaften, … - 2008
Tse (1998) proposes a model which combines the fractionally integrated GARCH formulation of Baillie, Bollerslev and Mikkelsen (1996) with the asymmetric power ARCH speci¯cation of Ding, Granger and Engle (1993). This paper analyzes the applicability of a multivariate constant conditional...
Persistent link: https://www.econbiz.de/10005150928
Saved in:
Cover Image
Multivariate fractionally integrated APARCH modeling of stock market volatility : a multi-country study
Conrad, Christian; Karanasos, Menelaos; Zeng, Ning - 2008
Tse (1998) proposes a model which combines the fractionally integrated GARCH formulation of Baillie, Bollerslev and Mikkelsen (1996) with the asymmetric power ARCH specification of Ding, Granger and Engle (1993). This paper analyzes the applicability of a multivariate constant conditional...
Persistent link: https://www.econbiz.de/10003747371
Saved in:
Cover Image
Multivariate fractionally integrated APARCH modeling of stock market volatility : a multi-country study
Conrad, Christian; Karanasos, Menelaos; Zeng, Ning - In: Journal of empirical finance 18 (2011) 1, pp. 147-159
Persistent link: https://www.econbiz.de/10009301149
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