Sep 2026· World Journal of Finance and Investment Research· pp. 85· 0 citations
Abstract
This study examined the weak-form efficiency and stock return volatility of the Nigerian
Exchange Group (NGX) by analyzing daily closing prices of the All-Share Index (ASI) from
May 18, 2017, to June 6th, 2024. Utilizing statistical tests such as Descriptive Statistics, Unit
tests, Autocorrelation test, Pairwise Granger Causality test, Ordinary Least Square test,
Normality/Random Walk test, Variance Ratio test and ARCH-GARCH models, the research
assessed the predictability of stock returns. Results of the analysis revealed that Nigerian stock
market did not follow the random walk theory (weak form inefficient), hence investors cannot use
the past data about the markets to predict their outcome. ARCH-GARCH models’ results showed
that Nigerian stock market exhibited property of stock returns distribution known as volatility
clustering or volatility pooling. The persistence parameter found that shocks to the conditional
variance is persistent in the Nigerian stock market. Asymmetric parameter results showed that
Nigerian stock market contradicts the leverage effect theory, hence good news create more
volatility than bad news of the same magnitude, within the scope of the study. Therefore, the
research suggests among others that since the Nigerian capital market do not follow random walk
or is inefficient at weak form, investors and other economic agents are advised to be proactive
when evaluating the values of securities.
The Nigerian bourse is characterized by continual volatility and unpredictability that traditional macroeconomic models have failed to sufficiently explain this phenomenon. It is
against this backdrop that this study examines the impact of investor sentiment on stock market
returns in Nigeria. To achieve this, the st...
Dumani Markjackson· International Journal of Eco...· 0 citations
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 eco...
Esther Patrick· JOURNAL OF BUSINESS AND AFRI...· 0 citations
The study examined the effect of exchange rate variables on the performance of the Nigerian
stock market. Employing an ex-post facto research design, the study utilizes time series data
spanning from 1998 to 2025, sourced from the Central Bank of Nigeria (CBN) Statistical
Bulletin and AbokiFX. The Ordinary Least Squ...
Ezonebi Branch· Journal of Accounting and Fi...· 0 citations
The purpose of this study is to examine the dynamics of S&P 500 index volatility using daily data from January 1, 2020, to November 1, 2025. The analysis focuses on volatility persistence, clustering behavior, and the effects of the EUR/USD exchange rate and WTI crude oil prices on the stock market. For this purpose, d...
Süreyya Temelli· International Journal of Man...· 0 citations
This study investigated the volatility and daily exchange rate movements of the Nigerian Naira
against the US Dollar, focusing on the factors influencing volatility dynamics. Using daily
exchange rate data from May 29, 2015 to November 17, 2024, obtained from Central Bank of
Nigeria Publications. Exponential Generalize...
Chukwu Agwu Ejem· World Journal of Finance and...· 1 citation
Volatility is one of the most important factors in investment decision-making and financial risk
management, and the role of volatility modelling in comprehending market dynamics is crucial. In this
study, the volatility behaviour of six major stock markets in Asia—India, China, Japan, South Korea,
Singapore and Hong K...
B. T. Selvan, K. T. Vijay Karthigeyan, Diksha Halder et al.· Archives for Technical Scien...· 0 citations
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