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Oil price volatility and US dollar exchange rate volatility of some oil-dependent economies

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  • Richard Agyabeng Donkor
  • Lord Mensah
  • Emmanuel Sarpong-Kumankoma

Abstract

This paper examines the relationship and related causality patterns of oil price volatility and exchange rate volatility of a group of oil-dependent economies before and after the 2008–2009 global financial crisis. We employed weekly time-series data of oil price and exchange rates for 2000–2007 (pre-crisis) and 2010–2016 (post-crisis). United States dollar exchange rates are for Ghanaian cedi, Nigerian naira, Russian ruble, Indian rupee, South African rand, and the Euro. To investigate the volatility impacts that exist between oil price and exchange rates during both sub-sample periods, we merged Vector Autoregressive (VAR) with GARCH and EGARCH models in the form of Bivariate VAR-GARCH and VAR-EGARCH. We further adopted the Toda-Yamamoto causality test to investigate related causality patterns. Empirical findings revealed both bidirectional and unidirectional relationship between oil price volatility and the exchange rates volatility of four out of the six oil-dependent economies considered for the study. These findings were more prevalent in the post-crisis period than the pre-crisis period. We also confirmed both bidirectional and unidirectional causality pattern between oil price volatility and exchange rate volatility of the same four currencies as observed with the VAR results in both sub-sample periods.

Suggested Citation

  • Richard Agyabeng Donkor & Lord Mensah & Emmanuel Sarpong-Kumankoma, 2022. "Oil price volatility and US dollar exchange rate volatility of some oil-dependent economies," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 31(4), pages 581-597, May.
  • Handle: RePEc:taf:jitecd:v:31:y:2022:i:4:p:581-597
    DOI: 10.1080/09638199.2021.1998581
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    Cited by:

    1. Salisu, Afees A. & Ogbonna, Ahamuefula E. & Gupta, Rangan & Ji, Qiang, 2024. "Energy market uncertainties and exchange rate volatility: A GARCH-MIDAS approach," Finance Research Letters, Elsevier, vol. 67(PB).
    2. Ben Salem, Leila & Zayati, Montassar & Nouira, Ridha & Rault, Christophe, 2024. "Volatility spillover between oil prices and main exchange rates: Evidence from a DCC-GARCH-connectedness approach," Resources Policy, Elsevier, vol. 91(C).
    3. Bruna, Karel & Van Tran, Quang, 2023. "Asymmetric effects of oil price shocks on EUR/USD exchange rate and structural shock decomposition in a BVAR model with sign restriction," Energy Economics, Elsevier, vol. 128(C).
    4. Deniz Erer, 2023. "The Impact of News Related Covid-19 on Exchange Rate Volatility:A New Evidence From Generalized Autoregressive Score Model," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 105-126, June.
    5. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    6. Afshan, Sahar & Leong, Ken Yien & Najmi, Arsalan & Razi, Ummara & Lelchumanan, Bawani & Cheong, Calvin Wing Hoh, 2024. "Fintech advancements for financial resilience: Analysing exchange rates and digital currencies during oil and financial risk," Resources Policy, Elsevier, vol. 88(C).

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