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Forecasting energy market volatility using GARCH models : can multivariate models beat univariate models?
Wang, Yudong; Wu, Chongfeng - In: Energy economics 34 (2012) 6, pp. 2167-2181
Persistent link: https://www.econbiz.de/10009688795
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Common cycles and common trends in the stock and oil markets : evidence from more than 150 years of data
Balcilar, Mehmet; Gupta, Rangan; Wohar, Mark E. - In: Energy economics 61 (2017), pp. 72-86
Persistent link: https://www.econbiz.de/10011737672
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Modeling and forecasting the volatility of petroleum futures prices
Kang, Sang Hoon; Yoon, Seong-min - In: Energy economics 36 (2013), pp. 354-362
Persistent link: https://www.econbiz.de/10009724686
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting
Nowotarski, Jakub; Weron, Rafał - In: Energy economics 57 (2016), pp. 228-235
Persistent link: https://www.econbiz.de/10011698464
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Forecasting oil prices : high-frequency financial data are indeed useful
Degiannakis, Stavros; Filis, George - In: Energy economics 76 (2018), pp. 388-402
Persistent link: https://www.econbiz.de/10011976685
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The power of investors' optimism and pessimism in oil market forecasting
Mustanen, Dmitri; Maaitah, Ahmad; Mishra, Tapas; Parhi, … - In: Energy economics 114 (2022), pp. 1-22
Persistent link: https://www.econbiz.de/10013477597
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Oil volatility risk and stock market volatility predictability : evidence from G7 countries
Feng, Jiabao; Wang, Yudong; Yin, Libo - In: Energy economics 68 (2017), pp. 240-254
Persistent link: https://www.econbiz.de/10011905699
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Modeling and predicting oil VIX: internet search volume versus traditional mariables
Campos, I.; Cortazar, Gonzalo; Reyes, T. - In: Energy economics 66 (2017), pp. 194-204
Persistent link: https://www.econbiz.de/10011896450
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Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models : either, neither or both?
Wang, Lu; Wu, Jiangbin; Cao, Yang; Hong, Yanran - In: Energy economics 111 (2022), pp. 1-12
Persistent link: https://www.econbiz.de/10013349997
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Renewable energy stocks forecast using Twitter investor sentiment and deep learning
Herrera, Gabriel Paes; Oliveira, Michel Angelo … - In: Energy economics 114 (2022), pp. 1-11
Persistent link: https://www.econbiz.de/10013477442