•   Adetona Sikiru Adedeji

  •   Mojeed Olanrewaju Saliu


This study investigated whether exchange rate regimes and interest rate policy have a significant explanatory power of oil price implications on African oil producing economies. Data for the study were sourced from World Development Indicators published by the World Bank and International Monetary Fund (World Economic Outlook). The study used a four variable Structural Vector Autoregressive (SVAR) model. Findings from the SVAR impulse response functions revealed that no exchange rate regime is the best, and no one is bad for African oil producing countries, judging from the costs and benefits that are associated with the three major exchange rate regimes. Findings from the study equally confirmed that expansionary monetary policy is more effective in insulating against and compensating for the negative effects of the shocks associated with the global oil price in the selected oil producing countries in Africa.

Keywords: World Oil Price, Exchange Rate Regime, Real Interest Rate, Structural Vector Autoregressive, African Oil producing Countries


Hasanov, F. (2010). The Impact of Real Oil Price on Real Effective Exchange Rate: The Case of Azerbaijan. Discussion Paper Series 1041. Berlin: DIW Berlin German Institute for Economic Research.

Korhonen, I. & Juurikkala, T. (2009). Equilibrium exchange rates in oil exporting countries. Journal of Economics and Finance, 33(1), 71-79.

IMF (2017). International Monetary Fund economic report: Africa focus special, (47), 13-28.

Levy-Yeyati, E. & Sturzenegger, F. (2005). To float or to fix: evidence on the impact of exchange rate regimes on growth. American Economic Review, 1173-1193.

Shudhasattwa, G. & Pasquale, M. (2015). Asymmetric Impacts of oil Prices on Oil Exporting and Importing countries. International Economic Review 50(4), 243–266.

Mutuku, B. & Koech, C. (2014). ‘Monetary Policy, Fiscal Policy and Economic Growth in emerging African economies: Ghana, Nigeria and South Africa. American Economc Review, 91, 964–985.

Apere, O. & Ijomah, A. M. (2013). Macroeconomic impact of oil price levels and volatility in Nigeria. International Journal of Academic Research in Economics and Management Sciences, 2(4), 15-25.

Englama, A., Omotunde, O. & Ogunleye, T. S (2010). Oil Prices and Exchange rate volatility in Nigeria: An empirical investigation. Central Bank of Nigeria (CBN) Economic and financial review 48/3.

Gachara, K. (2015). ‘Oil price Shocks and Economic Activity in Kenya’ A Structural VAR Approach, The Journal of Economic Perspectives, 18(4), 115–134.

Raghvan, M., Silvapulle, P. & Athanasopoulos, G. (2012). Structural VAR model for Malaysian Monetary Policy analysis during the Pre and Post 1997 Asian Crisis Periods. Applied Economics, 44(29), 3841-3856.

Pirovano, M. (2012). Monetary Policy and Stock prices in Small Open Economies. Empirical Evidence for the New EU Members States. Economic Systems. 36(5), 372-390.

Dungey, M. & Pagan, A. (2000). A structural VAR model of the Australian economy. Economic Record, 76, 321-342.

Gottschalk, J. (2001). An Introduction into the SVAR Methodology. Identification, Interpretation and Limitations of SVAR models. Kiel working paper, No. 1072.

Gylfason, T. (2000). Fix or flex? Alternative exchange rate regimes in an Era of global capitalmobility. North American Journal of Economics and Finance, 11(2),173-189.

Petreski, M. (2009). Exchange-rate regime and economic growth: A review of the theoretical and empirical literature, Economics. Kiel Institute for the World Economy, Kiel, 2009-31.

Taiwo, M. (2011). Investment, inflation and economic growth: empirical evidence from Nigeria. Research Journal of Finance and Accounting, 2(5), 68-76.

Gancia, H. & Malet, F. (2007). Are the Monetary Output Effects Asymmetric? Economic Inquiry, 40(3), 102-119.


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How to Cite
Adedeji, A. S., & Saliu, M. O. (2020). Crude Oil Price Shocks, Exchange Rate Regimes and Monetary Policy in African Oil Producing Countries. European Journal of Business and Management Research, 5(5). https://doi.org/10.24018/ejbmr.2020.5.5.509