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Spillovers between energy and FX markets: The importance of asymmetry, uncertainty and business cycle

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  • Khalifa, Ahmed
  • Caporin, Massimiliano
  • Hammoudeh, Shawkat

Abstract

This study constructs a theoretical volatility transmission model for petroleum and FX markets, taking into account major stylized facts and uncertainty measures and the interactions between them under stages of the business cycle. It examines the impacts of those different specifications and economic factors on the spillovers between those considered markets. The results show that the impacts of the “own” shocks (petroleum on petroleum and currency on currency) are statistically significant and positive in almost all cases as expected for the models of natural gas and WTI oil, irrespectively of the currency considered. The asymmetry effect is stronger in the oil than in the natural gas markets. There is stronger and significant evidence that uncertainty affects volatility much more the mean. For the WTI oil, almost all policy and other uncertainty measures lead to an increase in the conditional variance. For currencies, coefficients are commonly significant independent of the presence of petroleum commodities in the bivariate model. The striking result for natural gas is the limited statistical relevance of the economic policy and other uncertainty measures due to the long contracts that characterize this market. Finally, common macroeconomic forces associated with the business cycle can drive these petroleum and currency markets and may cause jumps and co-jumps in the volatility of these markets. The conclusion provides policy implications of the paper’s results.

Suggested Citation

  • Khalifa, Ahmed & Caporin, Massimiliano & Hammoudeh, Shawkat, 2015. "Spillovers between energy and FX markets: The importance of asymmetry, uncertainty and business cycle," Energy Policy, Elsevier, vol. 87(C), pages 72-82.
  • Handle: RePEc:eee:enepol:v:87:y:2015:i:c:p:72-82
    DOI: 10.1016/j.enpol.2015.08.039
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    References listed on IDEAS

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    Cited by:

    1. Lin, Boqiang & Bai, Rui, 2021. "Oil prices and economic policy uncertainty: Evidence from global, oil importers, and exporters’ perspective," Research in International Business and Finance, Elsevier, vol. 56(C).
    2. Ahmed, Walid M.A., 2018. "On the interdependence of natural gas and stock markets under structural breaks," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 149-161.
    3. Qiang Ji & Syed Jawad Hussain Shahzad & Elie Bouri & Muhammad Tahir Suleman, 2020. "Dynamic structural impacts of oil shocks on exchange rates: lessons to learn," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-19, December.
    4. Kumar, Pawan & Singh, Vipul Kumar, 2022. "Does crude oil fire the emerging markets currencies contagion spillover? A systemic perspective," Energy Economics, Elsevier, vol. 116(C).
    5. Li, Xiao-Ping & Zhou, Chun-Yang & Wu, Chong-Feng, 2017. "Jump spillover between oil prices and exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 656-667.
    6. Mensi, Walid & Shafiullah, Muhammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Asymmetric spillovers and connectedness between crude oil and currency markets using high-frequency data," Resources Policy, Elsevier, vol. 77(C).
    7. Ahmed, Walid M.A., 2017. "On the dynamic interactions between energy and stock markets under structural shifts: Evidence from Egypt," Research in International Business and Finance, Elsevier, vol. 42(C), pages 61-74.

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    More about this item

    Keywords

    Policy uncertainty; Asymmetry; Interdependence; Business cycle; Energy; FX;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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