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  • Search: subject:"Volatility of realized volatility"
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Year of publication
Subject
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Volatility of realized volatility 3 ARCH model 2 ARCH-Modell 2 Forecasting model 2 Prognoseverfahren 2 Time series analysis 2 Volatility 2 Volatilität 2 Zeitreihenanalyse 2 ARFIMA-GARCH 1 BDS test 1 Commodity derivative 1 Electric power industry 1 Electricity markets 1 Electricity price 1 Elektrizitätswirtschaft 1 Forecasting evaluation 1 Heterogeneous autoregressive model 1 High-frequency Nikkei 225 data 1 Hong-Li test 1 Index futures 1 Index-Futures 1 Inverse leverage effect 1 Jump detection 1 Measurement errors 1 Oil futures price 1 Oil price 1 Realized bipower variation 1 Rohstoffderivat 1 Strompreis 1 Volatility forecast 1 Volatility forecasting 1 Ölpreis 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 3
Author
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Chen, Wang 1 Duan, Qingling 1 Ishida, Isao 1 Liu, Jing 1 Ma, Feng 1 Niu, Mengyi 1 Qu, Hui 1 Watanabe, Toshiaki 1 Wei, Yu 1
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Institution
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Institute of Economic Research, Hitotsubashi University 1
Published in...
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Energy economics 1 Global COE Hi-Stat Discussion Paper Series 1 International review of economics & finance : IREF 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Forecasting oil price volatility using high-frequency data : new evidence
Chen, Wang; Ma, Feng; Wei, Yu; Liu, Jing - In: International review of economics & finance : IREF 66 (2020), pp. 1-12
Persistent link: https://www.econbiz.de/10012390514
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Modeling the volatility of realized volatility to improve volatility forecasts in electricity markets
Qu, Hui; Duan, Qingling; Niu, Mengyi - In: Energy economics 74 (2018), pp. 767-776
Persistent link: https://www.econbiz.de/10011972967
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Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model
Ishida, Isao; Watanabe, Toshiaki - Institute of Economic Research, Hitotsubashi University - 2009
In this paper, we apply the ARFIMA-GARCH model to the realized volatility and the continuous sample path variations constructed from high-frequency Nikkei 225 data. While the homoskedastic ARFIMA model performs excellently in predicting the Nikkei 225 realized volatility time series and their...
Persistent link: https://www.econbiz.de/10005650696
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