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Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors
Bennedsen, Mikkel; Hillebrand, Eric; Koopman, Siem Jan - In: Energy economics 96 (2021), pp. 1-17
Persistent link: https://www.econbiz.de/10012818590
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Forecasting the realized variance of oil-price returns using machine learning : is there a role for U.S. state-level uncertainty?
Çepni, Oğuzhan; Gupta, Rangan; Pienaar, Daniel; … - In: Energy economics 114 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013477404
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Copula stochastic volatility in oil returns : approximate Bayesian computation with volatility prediction
Virbickaitė, Audronė; Ausín, M. Concepción; … - In: Energy economics 92 (2020), pp. 1-15
Persistent link: https://www.econbiz.de/10012519661
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Risk premia in commodity price forecasts and their impact on valuation
Hahn, Warren J.; DiLellio, James A.; Dyer, James S. - In: Energy economics 72 (2018), pp. 393-403
Persistent link: https://www.econbiz.de/10011972345
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Probabilistic electricity price forecasting with Bayesian stochastic volatility models
Kostrzewski, Maciej; Kostrzewska, Jadwiga - In: Energy economics 80 (2019), pp. 610-620
Persistent link: https://www.econbiz.de/10012173697
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Volatility forecasting in commodity markets using macro uncertainty
Bakas, Dimitrios; Triantafyllou, Athanasios - In: Energy economics 81 (2019), pp. 79-94
Persistent link: https://www.econbiz.de/10012172661
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A novel framework for carbon price forecasting with uncertainties
Wang, Minggang; Zhu, Mengrui; Tian, Lixin - In: Energy economics 112 (2022), pp. 1-19
Persistent link: https://www.econbiz.de/10013350454
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What do market-calibrated stochastic processes indicate about the long-term price of crude oil?
Hahn, Warren J.; DiLellio, James A.; Dyer, James S. - In: Energy economics 44 (2014), pp. 212-221
Persistent link: https://www.econbiz.de/10010457221
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Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? : new evidence
Wang, Jiqian; Huang, Yisu; Ma, Feng; Chevallier, Julien - In: Energy economics 91 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012518664
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Forecasting U.S. real GDP using oil prices : a time-varying parameter MIDAS model
Pan, Zhiyuan; Wang, Qing; Wang, Yudong; Li, Yang - In: Energy economics 72 (2018), pp. 177-187
Persistent link: https://www.econbiz.de/10011972301