Russia-Ukraine War and Price Volatility of Global Commodities - The Role of Public Sentiments
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DOI: 2024/07/10
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- Salisu, Afees A. & Ademuyiwa, Idris & Isah, Kazeem O., 2018.
"Revisiting the forecasting accuracy of Phillips curve: The role of oil price,"
Energy Economics, Elsevier, vol. 70(C), pages 334-356.
- Afees A. Salisu & Idris Ademuyiwa & Kazeem Isah, 2017. "Revisiting the forecasting accuracy of Phillips curve: the role of oil price," Working Papers 022, Centre for Econometric and Allied Research, University of Ibadan.
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.
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- Wang, Yubao & Huang, Xiaozhou & Huang, Zhendong, 2024. "Energy-related uncertainty and Chinese stock market returns," Finance Research Letters, Elsevier, vol. 62(PB).
More about this item
Keywords
Public sentiments; Commodity market; Volatility; Predictability;All these keywords.
JEL classification:
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
- Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
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