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An Analysis of Weak Form Efficient Market Hypothesis in the Nigerian Exchange Group

Patrick Esther, Peter Ego Ayunku

Abstract

The study empirically investigated the weak form efficient market hypothesis in the Nigerian stock exchange group; for the period 1997-2024. Secondary data were used and collected from the Central Bank of Nigeria Statistical Bulletin. All-Share-Index (ASI) was used and converted to stock market returns. Time series econometrics techniques were used for the analysis. The study revealed that the large differences between the Mean and Standard deviation of the variables in the descriptive statistics suggested that the stock market is highly risky. The study showed that between 2010 to 2017, the stock market returns were normally distributed. The results of serial independent or randomness as obtained from ADF test showed that the Nigerian stock market is dependent and not random thus inefficient, which indicated that investor can predict the markets returns. The stock market returns for the period 2010 to 2024, means that investor cannot predict the market returns in the period. The result revealed that previous stock market return has 15% positive relationship, and 0.23 0.23% had predictive powers. The study concluded that the NSE was not efficient in the weak form between 1990 and 2010, hence, it has become efficient from 2011 up to 2024. The study recommended that the SEC should take a leading role in regulating abnormal financial activities. Market operators should provide adequate information on securities to the market allowing the free interplay of demand and supply to determine security values as current market values of securities on the NSE reflect available security information.

Keywords

Weak FormEfficient MarketHypothesisNigerian Exchange Group.

References

Afego, P. (2012). Weak form efficiency of the Nigerian stock market: An empirical analysis. International Journal of Economics and Financial Issues, 2(3), 340-347. Ajao, M. G. & Osayuwu, R. (2017). Testing the weak form of efficient market hypothesis in Nigerian capital market. Accounting and Finance Research, 1(1), 169 - 179. Andabai, Priye. W. (2015). Capital market development and economic growth in Nigeria. Journal of Global Accounting, 3(1), 45-57. Emenike, K. O. (2008). Efficiency across time: Evidence from the Nigerian stock exchange. MPRA Paper No. 22901. Retrieved from htt/MPRA_paper_22901.pdf. Ezepue, P. O. & Omar, M. T. (2018). Weak-form market efficiency of the Nigerian stock market in the context of financial reforms and global financial crises. Journal of African Business, 13(3), 209–220. Ibenta, Steve,N.O.(2012). Research Monograph: Guidelines for Seminars Papers, Thesis &Projects Reports. 22-28 Regina Caeli Rd, Awka, Anambra State, Nigeria. Nwidobie, B. M. (2014). The random walk theory: An empirical test in the Nigerian capital market. Asian Economic and Financial Review, 4(12), 1840-1848. Obayagbona, J & Igbinosa, S. O. (2014). Test of random walk hypothesis in the Nigerian stock market. Current Research Journal of Social Sciences, 7(2), 27-36. Okpara, F. (2018). Analysis of weak form efficiency on the Nigerian stock market: Further evidence from GARCH model. The International Journal of Applied Economics and Finance, 4(2), 62 – 66. Osazevbaru, H. O. (2014). Measuring Nigerian stock market volatility. Singaporean Journal of Business Economics and Management Studies, 2(8), 1-14. Appendix 1: ASI and Stock Market Returns of quoted companies in Nigeria (1997 to 2024). SN Years ASI (Pt/Pt-1) Ln(Pt/Pt-1) (Stock Market Returns) 1 1997 111.30 2 1998 112.20 1.00809 0.0081 3 1999 113.40 1.0107 0.0106 4 2000 115.60 1.0194 0.0192 5 2001 116.50 1.00779 0.0078 6 2002 116.30 0.99828 -0.0017 7 2003 117.20 1.00774 0.0077 8 2004 117.00 0.99829 -0.0017 9 2005 116.90 0.99915 -0.0009 10 2006 119.10 1.01882 0.0186 11 2007 124.60 1.04618 0.0451 12 2008 127.30 1.02167 0.0214 13 2009 134.60 1.05734 0.0558 14 2003 139.70 1.03789 0.0372 15 2010 140.80 1.00787 0.0078 16 2011 146.20 1.03835 0.0376 17 2012 144.20 0.98632 -0.0138 18 2013 147.40 1.02219 0.0219 19 2014 150.90 1.02374 0.0235 20 2015 151.00 1.00066 0.0007 21 2016 155.00 1.02649 0.0261 22 2017 160.90 1.03806 0.0374 23 2018 163.30 1.01492 0.0148 24 2019 163.80 1.00306 0.0031 25 2021 166.90 1.01893 0.0187 26 2022 166.20 0.99581 -0.0042 27 2023 161.70 0.97292 -0.0274 28 2024 157.50 0.97403 -0.0263 Source: Central Bank of Nigeria Statistical Bulletin, 2024

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