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Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?

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  • Zhang, Yulian
  • He, Xie
  • Nakajima, Tadahiro
  • Hamori, Shigeyuki

Abstract

Using the models of Diebold-Yilmaz (2012) and Barunik and Krehlik (2018) and monthly U.S. data from January 1992 to May 2019 (329 observations), this study estimates the return and volatility connectedness transmitted from commodity markets (natural gas and crude oil) and the Kansas City financial stress index to macroeconomic indicators (GDP and CPI). As a research target, crude oil has received significant attention. Although natural gas plays an important role in the energy markets as an environment-friendly alternative, it has not been studied extensively. We find the different spread speed of shocks to return and volatility variables through the total spillover index. We focus on both crude oil and natural gas and find that after the bankruptcy of the Lehman Brothers on September 19, 2008, there was a significant jump in the total return spillover from 35.09% to 46.91%, peaking in October 2008. Furthermore, in the frequency domain, we find that the total long-term return spillover index had the highest proportion during the global financial crisis. When the total spillover is concentrated on the high frequencies, it means the system will have an impact mostly in the short term. When it is concentrated on the lower frequencies, it shows that shocks are persistent and works in the long term among the system. It could give some information to the policymakers.

Suggested Citation

  • Zhang, Yulian & He, Xie & Nakajima, Tadahiro & Hamori, Shigeyuki, 2020. "Oil, Gas, or Financial Conditions-Which One Has a Stronger Link with Growth?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940820301170
    DOI: 10.1016/j.najef.2020.101220
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    References listed on IDEAS

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    3. Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
    4. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    5. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    6. Zhang, Li & Wang, Lu & Wang, Xunxiao & Zhang, Yaojie & Pan, Zhigang, 2022. "How macro-variables drive crude oil volatility? Perspective from the STL-based iterated combination method," Resources Policy, Elsevier, vol. 77(C).
    7. Zhang, Yulian & Hamori, Shigeyuki, 2022. "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 182-203.
    8. Zhang, Yulian & Hamori, Shigeyuki, 2021. "Do news sentiment and the economic uncertainty caused by public health events impact macroeconomic indicators? Evidence from a TVP-VAR decomposition approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 145-162.

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