What do market-calibrated stochastic processes indicate about the long-term price of crude oil?
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DOI: 10.1016/j.eneco.2014.04.007
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Citations
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Cited by:
- Ladokhin, Sergiy & Borovkova, Svetlana, 2021. "Three-factor commodity forward curve model and its joint P and Q dynamics," Energy Economics, Elsevier, vol. 101(C).
- Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
- Zhou, Fan & Page, Lionel & Perrons, Robert K. & Zheng, Zuduo & Washington, Simon, 2019. "Long-term forecasts for energy commodities price: What the experts think," Energy Economics, Elsevier, vol. 84(C).
- Cheng, Fangzheng & Fan, Tijun & Fan, Dandan & Li, Shanling, 2018. "The prediction of oil price turning points with log-periodic power law and multi-population genetic algorithm," Energy Economics, Elsevier, vol. 72(C), pages 341-355.
- Noshchenko, Olga & Hagspiel, Verena, 2024. "Environmental and economic multi-objective real options analysis: Electrification choices for field development investment planning," Energy, Elsevier, vol. 295(C).
- Fedorov, Semyon & Hagspiel, Verena & Rogstad, Richard W.H. & Haseldonckx, Sophie & Haugsgjerd, Johannes H. & Rønning, Anders, 2024. "Evaluation of tieback developments for marginal oil fields with timing flexibility," Energy Economics, Elsevier, vol. 131(C).
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More about this item
Keywords
Oil prices; Futures markets; Stochastic processes; Kalman filter; Forecasting;All these keywords.
JEL classification:
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
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