Eastern European Business and Economics Journal

The Interrelationship between Crude Oil Price Volatility and Money Market Rate Volatility in a Developing, Oil-Producing Economy



Emenike Kalu O.


Emenike K.O. 2017. The Interrelationship between Crude Oil Price Volatility and Money Market Rate Volatility in a Developing, Oil-Producing Economy. Eastern European Business and Economics Journal 3(1): 28-47.


Full text



This study evaluates the interrelationship between crude oil price volatility and money market rate volatility in a developing, crude oil producing economy using monthly time series observations from January 2002 to December 2014. The results obtained from a BEKK specification of a multivariate GARCH (1,1) model indicate that shocks and increased volatility from crude oil prices and money market rates influence their current volatilities. The result also show evidence of volatility persistence in crude oil prices and money market rates in Nigeria. The results further provide evidence of significant unidirectional volatility spillovers from crude oil prices to the money market in Nigeria. These findings are important because they provide a strong indication that crude oil price volatilityisa very strong variable in determining the money market rates volatility in Nigeria.



Money market rate, crude oil price, volatility interrelationship, multivariate BEKK-GARCH model, oil producing economy, developing country


JEL classification:

E40, C32, G21, Q43






Ayuso, J., Haldane, A. G., & Restoy, F. (1997). Volatility transmission along the money marketyield curve. Weltwirtschaftliches Archive, 133(1), 56-75.

Baba, Y., Engle, R. F., Kraft, D. F., & Kroner, K. F. (1990). Multivariate simultaneous generalized ARCH. Mimeo, Department of Economics, University of California, San Diego.

Badrinath, H.R., & Apte, P. G. (2005). Volatility spillovers across stock, call money and foreign exchange markets. Retrieved November 2016, from www.nse-india.com/content/research/comppaper109.pdf.

Bauwens, L., Laurent, S., & Rombouts, J. V. K. (2006). Multivariate GARCH models: A survey. Journal of Applied Econometrics, 21(1), 79-109.

Central Bank of Nigeria (2012). Annual report. Abuja: CBN Publishers

Cocco, J. F, Gomes, F. J., & Martins, N.C. (2009). Lending relationship in the interbank market. Journal of Financial Intermediation, 18, 24-48.

De Carlo, L. T. (1997). On the meaning and use of kurtosis. Psychological Methods, 2(3), 292-307.

Demiralay, S., & Gencer, H. G. (2014). Volatility transmissions between oil prices and emerging market sectors: Implications for portfolio management and hedging strategies. International Journal of Energy Economics and Policy, 4(3), 442-447.

Emenike, K. O. (2015). Analysis of volatility transmission between financial markets and oil & gas market in Nigeria. Unpublished PhD Dissertation, Department of Banking and Finance, Michael Okpara University of Agriculture, Umudike.

Emenike, K. O. (2016). Comparative analysis of bureaux de change and official exchange rates volatility in Nigeria. Intellectual Economics, 10(1), 28-37.

Engle, R.F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of the United Kingdom inflation. Econometrica, 50, 987-1008.

Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11, 122-150.

Freixas, X., & Jorge, J. (2008). The role of interbank markets in monetary policy: A model with rationing. Working Paper 1027, Universitat Pompeu Fabra.

Hamma, W., Jarboui, A., & Ghorbel, A. (2014). Effect of Oil Price Volatility on Tunisian Stock Market at Sector-level and Effectiveness of Hedging Strategy. Procedia Economics and Finance, 13, 109-127.

Hamim, T.(2012). A scenario of inter-bank call money arrangement and its affiliation with twofold variables: Empirical evidences from banking industry of Bangladesh. Research Journal of Finance and Accounting, 3(5), 112-116.

Harathi, N., & Almohaimeed, A. (2015). Interdependence between GCC stock market and oil prices and portfolio management strategies under structural breaks. African Journal of Business Management, 9(5), 233-242.

Hung, J., Lee, M., & Liu, M. (2008). Estimation of value-at-risk for energy commodities via fat-tailed GARCH models. Energy Economics, 30, 1173–1191.

Ibeabuchi, S. N., Udom, I. S., Tule, M. K. Bada, A. S. & Ogbu, P. (2004). The Nigerian money market. In Nnanna, O.J., Englama, A., & Odoko, F. O. (ed.), Financial Markets in Nigeria,42-64. Abuja: Central Bank of Nigeria.

Liu, Z., Zhang, T., & Wen, F. (2014). Time-Varying Risk Attitude and Conditional Skewness. Abstract and Applied Analysis, 1-11.

Joshi, P. (2011). Return and volatility spillovers among Asian stock markets. SAGE Open, 1(1), 1-8.

Kim, H. (2013). The volatility spillover effects in Islam financial market. International Review of Business Research Papers, 9(5), 12-27.

Neupane, S. (2011).Examining volatility of interbank rate in Nepal. Economic Review Occasional Papers, 23, 37-53.

Nnanna, O.J., Englama, A., & Odoko, F. O. (ed.), (2004). Financial Markets in Nigeria. Abuja: Central Bank of Nigeria.

Onoh, J. K. (2002). Dynamics of money, banking & finance in Nigeria: An emerging market. Aba: Astra Meridian Publishers.

Rachev, S. T., Mittnik, S., Fabozzi, F. J., Focardi, S. M., & Jasic, T. (2007). Financial econometrics: From basics to advanced modeling techniques. New Jersey: John Wiley & sons Inc.

Sarkar, S., & Ariff, M. (2002). The effect of interest rate volatility on treasury yields. Applied Financial Economics, 12(9), 667-672.

Shahiduzzaman, M., & Naser, M. S. (2007). Volatility in the overnight money market rate in Bangladesh: Recent experiences. Policy Note PN 0707, Bangladesh Bank.

Steeley, J. M. (2006). Volatility transmission between stock and bond markets. Journal of International Financial Markets, Institutions, and Money, 16(1), 71-86.

Tsay, R. S. (2005). Analysis of financial time series (2nd Ed). Hoboken New Jersey: John Wiley & Sons Inc.

Wilcox, R. R., & Keselman, H. J. (2003). Modern robust data analysis methods: Measures of central tendency. Psychological Methods, 8(3), 254-274.