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The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains

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  • Zhang, Yue-Jun
  • Yan, Xing-Xing

Abstract

To explore the potential impact of economic policy uncertainty (EPU) on crude oil prices, this paper first uses the DCC-GARCH model to measure the dynamic conditional correlation between US EPU and West Texas Intermediate (WTI) crude oil returns based on historical data from February 1985 to May 2019, and then employs the network connectedness method to further analyze the impact of various US EPU indices on WTI returns over time and frequency. The empirical results show that, first, almost all the US EPU indices and WTI returns are negatively correlated during the sample period. Second, at the frequency bands of 1–6 months and 6–12 months, almost all the EPU indices may significantly affect WTI returns, while at the frequency band of 12–24 months, only monetary policy uncertainty, regulation policy uncertainty and national security policy uncertainty may significantly affect WTI returns. Finally, the impact of US EPU indices on WTI returns appears particularly stronger when major international events occur, such as the global financial crisis.

Suggested Citation

  • Zhang, Yue-Jun & Yan, Xing-Xing, 2020. "The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 750-768.
    • Handle: RePEc:eee:reveco:v:69:y:2020:i:c:p:750-768
    DOI: 10.1016/j.iref.2020.04.001
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    as
    1. Pavlova, Ivelina & de Boyrie, Maria E. & Parhizgari, Ali M., 2018. "A dynamic spillover analysis of crude oil effects on the sovereign credit risk of exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 10-22.
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    4. Ma, Yan-Ran & Zhang, Dayong & Ji, Qiang & Pan, Jiaofeng, 2019. "Spillovers between oil and stock returns in the US energy sector: Does idiosyncratic information matter?," Energy Economics, Elsevier, vol. 81(C), pages 536-544.
    5. El Anshasy, Amany A. & Bradley, Michael D., 2012. "Oil prices and the fiscal policy response in oil-exporting countries," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 605-620.
    6. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    7. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan, 2017. "Dynamic spillover between commodities and commodity currencies during United States Q.E," Energy Economics, Elsevier, vol. 66(C), pages 399-410.
    8. Kang, Wensheng & Ratti, Ronald A., 2013. "Structural oil price shocks and policy uncertainty," Economic Modelling, Elsevier, vol. 35(C), pages 314-319.
    9. Berk, Istemi & Rauch, Jannes, 2016. "Regulatory interventions in the US oil and gas sector: How do the stock markets perceive the CFTC's announcements during the 2008 financial crisis?," Energy Economics, Elsevier, vol. 54(C), pages 337-348.
    10. Krane, Jim & Medlock, Kenneth B., 2018. "Geopolitical dimensions of US oil security," Energy Policy, Elsevier, vol. 114(C), pages 558-565.
    11. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
    12. Ji, Qiang & Li, Jianping & Sun, Xiaolei, 2019. "Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTC's disaggregated reports," Finance Research Letters, Elsevier, vol. 30(C), pages 420-425.
    13. Wang, Qingfeng & Sun, Xu, 2017. "Crude oil price: Demand, supply, economic activity, economic policy uncertainty and wars – From the perspective of structural equation modelling (SEM)," Energy, Elsevier, vol. 133(C), pages 483-490.
    14. Bodea, Cristina & Higashijima, Masaaki & Singh, Raju Jan, 2016. "Oil and Civil Conflict: Can Public Spending Have a Mitigation Effect?," World Development, Elsevier, vol. 78(C), pages 1-12.
    15. Xiuwen Chen & Xiaolei Sun & Jun Wang, 2019. "Dynamic Spillover Effect Between Oil Prices and Economic Policy Uncertainty in BRIC Countries: A Wavelet-Based Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(12), pages 2703-2717, September.
    16. Sun, Xinxin & Lu, Xinsheng & Yue, Gongzheng & Li, Jianfeng, 2017. "Cross-correlations between the US monetary policy, US dollar index and crude oil market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 326-344.
    17. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2017. "Oil price shocks and policy uncertainty: New evidence on the effects of US and non-US oil production," Energy Economics, Elsevier, vol. 66(C), pages 536-546.
    18. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    19. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    20. Baek, Jungho & Miljkovic, Dragan, 2018. "Monetary policy and overshooting of oil prices in an open economy," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 1-5.
    21. Bonaccolto, G. & Caporin, M. & Gupta, R., 2018. "The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
    22. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    23. Rosa, Carlo, 2014. "The high-frequency response of energy prices to U.S. monetary policy: Understanding the empirical evidence," Energy Economics, Elsevier, vol. 45(C), pages 295-303.
    24. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    25. Yue-Jun Zhang & Shu-Hui Li, 2019. "The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach," Quantitative Finance, Taylor & Francis Journals, vol. 19(8), pages 1357-1371, August.
    26. Zhang, Yue-Jun & Chevallier, Julien & Guesmi, Khaled, 2017. "“De-financialization” of commodities? Evidence from stock, crude oil and natural gas markets," Energy Economics, Elsevier, vol. 68(C), pages 228-239.
    27. Yang, Lu, 2019. "Connectedness of economic policy uncertainty and oil price shocks in a time domain perspective," Energy Economics, Elsevier, vol. 80(C), pages 219-233.
    28. Zhang, Yue-Jun & Lin, Jia-Juan, 2019. "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, vol. 66(C).
    29. Zhang, Yue-Jun & Wu, Yao-Bin, 2019. "The time-varying spillover effect between WTI crude oil futures returns and hedge funds," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 156-169.
    30. Reboredo, Juan C. & Uddin, Gazi Salah, 2016. "Do financial stress and policy uncertainty have an impact on the energy and metals markets? A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 284-298.
    31. Aloui, Riadh & Gupta, Rangan & Miller, Stephen M., 2016. "Uncertainty and crude oil returns," Energy Economics, Elsevier, vol. 55(C), pages 92-100.
    32. Basher, Syed Abul & Sadorsky, Perry, 2016. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," Energy Economics, Elsevier, vol. 54(C), pages 235-247.
    33. Zhang, Yue-Jun & Wang, Jin-Li, 2019. "Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models," Energy Economics, Elsevier, vol. 78(C), pages 192-201.
    34. Hailemariam, Abebe & Smyth, Russell & Zhang, Xibin, 2019. "Oil prices and economic policy uncertainty: Evidence from a nonparametric panel data model," Energy Economics, Elsevier, vol. 83(C), pages 40-51.
    35. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
    36. Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
    37. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    38. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
    39. Wang, Xunxiao & Wang, Yudong, 2019. "Volatility spillovers between crude oil and Chinese sectoral equity markets: Evidence from a frequency dynamics perspective," Energy Economics, Elsevier, vol. 80(C), pages 995-1009.
    40. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
    41. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.
    42. Newell, Richard G. & Raimi, Daniel, 2018. "The fiscal impacts of increased U.S. oil and gas development on local governments," Energy Policy, Elsevier, vol. 117(C), pages 14-24.
    43. Albulescu, Claudiu Tiberiu & Demirer, Riza & Raheem, Ibrahim D. & Tiwari, Aviral Kumar, 2019. "Does the U.S. economic policy uncertainty connect financial markets? Evidence from oil and commodity currencies," Energy Economics, Elsevier, vol. 83(C), pages 375-388.
    44. Ji, Qiang & Liu, Bing-Yue & Nehler, Henrik & Uddin, Gazi Salah, 2018. "Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach," Energy Economics, Elsevier, vol. 76(C), pages 115-126.
    45. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Dynamic spillovers of oil price shocks and economic policy uncertainty," Energy Economics, Elsevier, vol. 44(C), pages 433-447.
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