Stock Market Response To Presidential Election Result Announcement In Nigeria
Keywords:
Nigerian Stock market; Abnormal return; Presidential elections; Event study; Market efficiency.Abstract
This study investigates how the prices of stocks listed on the Nigerian Stock Exchange responded to Presidential elections result announcement. The daily All Shares Index was used as proxy for stock prices while the 2015 and 2019 Presidential elections result announcement were used as proxy for new information. The Researcher adopted the event study methodology and a 21-day event window was constructed. That is 10 days before presidential elections result announcement (-10) and 10 days after the announcement (+10) in addition to the event day. The average abnormal returns (AAR) and the cumulative average abnormal returns (CAARs) were computed and analyzed using the t-statistic to ascertain whether it is possible to earn abnormal return due presidential results pronouncement. The findings revealed that stock prices respond quickly to new information thereby making it difficult to earn abnormal return due to the 2015 and 2019 presidential elections results announcement.References
Ahmed, W. M. A. (2017). The impact of political regime changes on stock prices: the case of Egypt,International Journal of Emerging Markets, 12(3), pp. 508-531,
Balaji, Ch, Kusuma, G. D. V & Ravi Kumar, B. (2018). Impact of General Elections on Stock Markets in India. Open Journal of Economics and Commerce, 1(2), 1-7.
Brown, S. J. & Warner, J. B. (1985). Using daily stock returns: The case of event studies. Journal of Financial Economics, 14, 3-31.
Brown, S. J. & Warner, J. B. (1980). Measuring security price performance. Journal of Financial Economics, 8, 205-258.
Campbell, J.Y, Lo, A. W & Mackinlay, A. C. (1997). The Econometric of Financial Markets. Princeton: Princeton University Press.
Chan-Lau, J. A. (2001). Corporate restructuring in Japan: an event study Analysis. International Monetary Fund, WP/01/202, 1-14.
Chowa, T., Nyanhete, A. I. & Mhlanga, R. (2014). An event study of the Zimbabwe stock exchange (ZSE): implication for post–dollarisation market efficiency. Mediterranean Journal of Social Sciences, 5(3), 273- 282.
Connolly, E. & Kohler, M (2004). News and interest rate expectations: A study of six Central Banks, Group E & Australia. RBO (Eds). Reserve Bank of Australia.
Fama, E. F. (1965). Random walks in stock market prices, Financial Analysts Journal, 21(5): 55-59.
Fama, E. F., Fisher, L., Jensen, M.C. & Roll, R. (1969). The adjustment of stock prices to new information. International Economic Review, 10(1), 1-21.
Gbanador, M. A. (2021a). Test for semi strong form efficient market hypothesis of the Nigerian stock market“ASUP 6th National Conference on unmasking the potentials of Polytechnic education in addressing technology and socio-economic deficiency in Nigeria.” Port Harcourt Polytechnic 30th June-3rd July, 120 -128.
Gbanador, M. A. (2019). An Empirical Test for Semi-Strong form efficient market hypothesis of the Nigeria Stock Market. (Unpublished PhD Thesis, University of Uyo).
Julio, B., & Yook, Y. (2012). Political uncertainty and corporate investment cycles. Thev Journal of Finance, 67 (1), 45-82.
Kendall, M. G. (1953). “The Analysis of Economic Time-Series, Part 1: Price: Journal of Royal Statistical Society, 96, 11-25.
Mackinlay, A.C. (1997). Event studies in economics and finance. Journal of Economic literature, 35(1), 13-39.
Osamwonyi, I. O. & Omorokunwa, O. G. (2017).Presidential Election and Portfolio Selections in the Nigeria Stock Exchange. International Journal of Financial Research, 8(4), 184-195.
Reddy, G. S. (20158). Impact of General Elections 2014 on Indian Stock Market with Special References to the Stock of Select Companies in BSE.International Journal of Management Studies, 3(1), 123-132.
Vaz, J. J., Ariff, M. & Brooks, R. D. (2008). The effect of interest rate changes on Bank stock returns. Investment Management and Financial Innovations, 5(4), 221-236.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 PORT HARCOURT POLYTECHNIC ACADEMIC RESEARCH JOURNAL

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.