Impact of Oil Prices on Stock Market Development in Selected Oil Exporting Sub-Saharan African Countries
This study examines the dynamic impacts of oil prices on stock market development in four oil exporting sub-Saharan African countries in the period of 1989-2015. The Arbitrage Pricing Theory (APT) is used as the theoretical framework where stock market prices are hypothesized to be fully reflective of all available information. Static panel data (Pooled OLS, panel Fixed Effect Model, panel Random Effect Model) and dynamic panel model of Generalized Method of Moments (GMM) were employed in the estimation. The estimation of the static panel model shows that oil prices, exchange rates, gross domestic product, inflation and the corruption index have a positive and significant impact on stock market development. However, there is a slight improvement from the estimation of the GMM dynamic panel model which confirmed that oil prices, exchange rates, gross domestic product, investment, inflation and the corruption index have a positive and significant impact on stock market development. The study therefore recommends that investors in selected the Sub-Sahara Africa (SSA) stock market need to be cognizant of the varying impacts of macroeconomic indicators, particularly those that have been found to exert strong influence on stock returns like oil prices, exchange rates, inflation and the corruption index. (original abstract)
- Adaramola, A.O. (2012). Oil Price Shocks and Stock Market Behaviour: The Nigerian experience. Journal of Economics, 3(1), 19-24.
- Akanbi, O.A. (2012). Role of Governance in Explaining Domestic Investment in Nigeria. South African Journal of Economics, 81(4), 473-489.
- Akinlo, O.O (2014). Oil Price and Stock Market: Empirical Evidence from Nigeria. European Journal of Sustainable Development, 3(2), 33-40.
- Anoruo, E., Mustafa, M. (2007). An Empirical Investigation into the Relation of Oil to Stock Market Prices. North American Journal of Finance and Banking Research, 1 (1), 22-36.
- Arellano, M., Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58, 277- 297.
- Arellano, M., Bover, O. (1995). Another Look at Instrumental Variable Estimation of Error- components Models. Journal of Econometrics, 68, 29-51.
- Asaolu, T.O, Ilo, B.M. (2012). The Nigerian Stock Market and Oil Price: A Cointegration Analysis. Kuwait Chapter of Arabian Journal of Business and Management Review, 1(5), 28-36.
- Brasher, J. (2004). Oil's Effects on the Stock Market. Call Writter's Money Newsletter: 1-6.
- Blundell, R., Bond, S. (1998). Initial Conditions and Moment Restrictions in Dynamic Panel Data Models. Journal of Econometrics, 87, 115- 143.
- Chinzara, Z. (2011). Macroeconomic Uncertainty and Conditional Stock Market Volatility in South Africa. South African Journal of Economics, Economics Society of South Africa, 79(1), 27- 49.
- Hamilton, J.D. (1983). Oil and the Macroeconomy since World War II. Journal of Political 14 Economy 92, 228-248.
- Hausman, J.A. (1978). Specification Tests in Econometrics. Econometrica, 46, 1251-1272.
- Itotenaan, H.O., Amadi, S.N., Moshfique, M.U., Dubon, P. (2013). Oil Price and Stock Market Performance in Nigeria: An Empirical Analysis. American Journal of Social and Management Sciences, 4(1), 20-41.
- Imarhiagbe, S. (2010). Impact of Oil Prices on Stock Markets: Empirical Evidence from Selected Major Oil Producing and Consuming Countries. Global Journal of Finance and Banking Issues, 4(4), 15-31.
- Jhingan, M.L. (2004). The Economic of Development and Planning. New Delhi: Vrinda Publications Limited.
- Jones, C.M., Kaul, G. (1996). Oil and the Stock Market. Journal of Finance, 51, 463- 491.
- Kaufmann, D., Kraay, A., Zoido-Lobaton, P. (1999). Aggregating Governance Indicators. World Bank Working Paper,2195.
- Kraay, A., Nehru, V. (2006). When is External Debt Sustainable? World Bank Economic Review 20(3), 341-65.
- Maghyereh, A. (2004). Oil Price Shock and Emerging Stock Markets: A Generalized VAR Approach. International Journal of Applied Econometrics and Quantitative Studies, 1, 27-40.
- Miller, I.J., Ratti, A.R. (2009). Crude Oil and Stock Markets: Stability, Instability, and Bubbles. Energy Economics, 31(4), 559- 568.
- Muritala, T., Taiwo, A., Olowookere, D. (2012). Crude Oil Price, Stock Price and Some Selected Macroeconomic Indicators: Implications on the Growth of Nigeria Economy. Research Journal of Finance and Accounting, 3(2).
- Narayan, K.P., Narayan, S. (2010). Modeling the Impact of Oil Prices on Vietnam's Stock Prices. Applied Energy, 87, 356-361.
- Ogiri, I.H., Amadi, S.N., Uddin, M.M., Dubon, P. (2013). Oil Price and Stock Market Performance in Nigeria: An Empirical Analysis. American Journal of Social and Management Sciences, 4(1), 20-41.
- Papapetrou, E. (2001). Oil Price Shocks, Stock Market, Economic Activity and Employment in Greece. Energy Economics,23(5), 511- 532.
- Ramos, S.B., Veiga, H. (2010). Asymmetric Effects of Oil Price Fluctuations In International Stock Markets. Working Paper 10-09. Statistics and Econometrics Series (04).
- Ross, S.A. (1976). The Arbitrage Theory of Capital Asset Pricing. Journal of Economic Theory, 13, 341-60.
- Sadorsky, P. (1999). Oil price shocks and stock market activity. Energy Economics 21, 449-469.
- Taheri, N. (2014). The Impact of Oil Price on Stock Markets: Evidence from Developed Markets. Master Thesis Submitted to the Institute of Graduate Studies and Research, Eastern Mediterranean University.
- Yadirichukwu, E., Ogochukwu, O.J. (2014). Evaluation of the Weak Form of Efficient Market Hypothesis: Empirical Evidence from Nigeria. International Journal of Development and Sustainability, 3(5), 1199-1244