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Exploiting the heteroskedasticity in measurement error to improve volatility predictions in oil and biofuel feedstock markets
Bissoondoyal-Bheenick, Emawtee; Brooks, Robert; Do, … - In: Energy economics 86 (2020), pp. 1-18
Persistent link: https://www.econbiz.de/10012511747
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Economic policy uncertainty, oil price shocks and corporate investment : Evidence from the oil industry
Ilyas, Muhammad; Khan, Aamir; Nadeem, Muhammad; … - In: Energy economics 97 (2021), pp. 1-10
Persistent link: https://www.econbiz.de/10012820780
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The impact of declining oil rents on tax revenues : does the shadow economy matter?
Ishak, Phoebe W.; Farzanegan, Mohammad Reza - In: Energy economics 92 (2020), pp. 1-14
Persistent link: https://www.econbiz.de/10012518922
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Answering the critics : yes, arch models do provide good volatility forecasts
Andersen, Torben; Bollerslev, Tim - 1997
Persistent link: https://www.econbiz.de/10000627888
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Taylor rule exchange rate forecasting during the financial crisis
Molodtsova, Tanya; Papell, David H. - 2012
Persistent link: https://www.econbiz.de/10009623462
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Forecasting excess stock returns with crude oil market data
Liu, Li; Ma, Feng; Wang, Yudong - In: Energy economics 48 (2015), pp. 316-324
Persistent link: https://www.econbiz.de/10011533825
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The relationship between spot and futures oil prices : do structural breaks matter?
Chen, Pei-fen; Lee, Chien-chiang; Zeng, Jhih-hong - In: Energy economics 43 (2014), pp. 206-217
Persistent link: https://www.econbiz.de/10010504823
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External imbalances and financial crises
Taylor, Alan M. - 2012
Persistent link: https://www.econbiz.de/10009683350
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Forecasting crude oil price volatility via a HM-EGARCH model
Lin, Yu; Yang, Xiaoming; Li, Fuxing - In: Energy economics 87 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012512591
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Crude oil price forecasting : experimental evidence from wavelet decomposition and neural network modeling
Jammazi, Rania; Aloui, Chaker - In: Energy economics 34 (2012) 3, pp. 828-841
Persistent link: https://www.econbiz.de/10010219886