Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?
By Yu Wei, Jing Liu, Xiaodong Lai, Yang Hu. 2017
238 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b2e26b6efcb13139703921794a3e72c74db1ecc5
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In Economics and Econometrics
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks (2019, methodology): “Furthermore, the MCS pvalues of the Model 6 are higher than other models, and following Wei et al. (2017), we find that the Model 6 can gain higher accuracy forecasts.”
- Uncertainty Due to Infectious Diseases and Energy Market Volatility (2020, background): “…predictor of energy market volatility in a horserace between the economic policy uncertainty (EPU) and the equity market uncertainty (EMU); see Wei et al. (2017), Hailemariam et al. (2019), Liang et al. (2019), and Mei et al. (2019) for studies on EPU and Aloui et al. (2016), Baker et al.…”
- Uncertainty and crude oil market volatility: new evidence (2020, methodology): “For example, some recent papers focus on the impacts of economic policy uncertainty (EPU) on oil market (see, e.g. Antonakakis, Chatziantoniou, and Filis 2014; Aloui, Gupta, and Miller 2016; Wei et al. 2017) based on the work of Baker, Bloom, and Davis (2016).”