Oil Price Volatility and Stock Market Liquidity in Nigeria: A Comprehensive Empirical Investigation

Nigeria's economy remains structurally tethered to crude oil, making it uniquely susceptible to the destabilizing effects of global oil price fluctuations. This study investigates the dynamic relationship between oil price volatility and stock market liquidity in Nigeria over the period 1986–2025, while controlling for a comprehensive set of macroeconomic, institutional, and structural variables including fixed capital formation, foreign direct investment inflows, infrastructure index, exchange rate volatility, trade openness, technology, government expenditure, institutional quality, control of corruption, political stability index, ease of doing business score, sectoral composition, natural resource rents, financial development, labour force participation rate, unemployment rate, research and development expenditure, and internet penetration. Drawing on the Resource Curse Hypothesis, the Efficient Market Hypothesis, and the Liquidity Preference Theory, this paper employs a time-series regression framework augmented with the Autoregressive Distributed Lag (ARDL) bounds testing approach, accounting for structural breaks using the Zivot-Andrews unit root test. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model is further applied to capture the volatility clustering inherent in oil price movements. Findings reveal that oil price volatility exerts a statistically significant and negative effect on stock market liquidity in Nigeria, both in the short and long run. Among the control variables, financial development, foreign direct investment, and internet penetration exhibit positive and significant associations with market liquidity, while exchange rate volatility, political instability, and corruption significantly dampen liquidity. The study contributes novel empirical evidence on the multidimensional transmission channels through which oil shocks propagate into equity market functioning in a frontier market context. Policy recommendations center on economic diversification, institutional reform, and financial sector deepening to build resilience against external commodity shocks. Keywords: Oil Price Volatility, Stock Market Liquidity, Nigeria, ARDL, Financial Development, Exchange Rate, Institutional Quality, Resource Curse JEL Classification: G10, G12, G15, Q43, F31, E44, O55, P48

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-22
DOI
https://doi.org/10.5281/zenodo.20347343
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Oil Price Volatility and Stock Market Liquidity in Nigeria: A Comprehensive Empirical Investigation

Onipe Adabenege Yahaya
Zenodo (CERN European Organization for Nuclear Research)
Market Dynamics and Volatility
article

Oil Price Volatility and Stock Market Liquidity in Nigeria: A Comprehensive Empirical Investigation

Onipe Adabenege Yahaya
article en

Abstract

Nigeria's economy remains structurally tethered to crude oil, making it uniquely susceptible to the destabilizing effects of global oil price fluctuations. This study investigates the dynamic relationship between oil price volatility and stock market liquidity in Nigeria over the period 1986–2025, while controlling for a comprehensive set of macroeconomic, institutional, and structural variables including fixed capital formation, foreign direct investment inflows, infrastructure index, exchange rate volatility, trade openness, technology, government expenditure, institutional quality, control of corruption, political stability index, ease of doing business score, sectoral composition, natural resource rents, financial development, labour force participation rate, unemployment rate, research and development expenditure, and internet penetration. Drawing on the Resource Curse Hypothesis, the Efficient Market Hypothesis, and the Liquidity Preference Theory, this paper employs a time-series regression framework augmented with the Autoregressive Distributed Lag (ARDL) bounds testing approach, accounting for structural breaks using the Zivot-Andrews unit root test. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model is further applied to capture the volatility clustering inherent in oil price movements. Findings reveal that oil price volatility exerts a statistically significant and negative effect on stock market liquidity in Nigeria, both in the short and long run. Among the control variables, financial development, foreign direct investment, and internet penetration exhibit positive and significant associations with market liquidity, while exchange rate volatility, political instability, and corruption significantly dampen liquidity. The study contributes novel empirical evidence on the multidimensional transmission channels through which oil shocks propagate into equity market functioning in a frontier market context. Policy recommendations center on economic diversification, institutional reform, and financial sector deepening to build resilience against external commodity shocks. Keywords: Oil Price Volatility, Stock Market Liquidity, Nigeria, ARDL, Financial Development, Exchange Rate, Institutional Quality, Resource Curse JEL Classification: G10, G12, G15, Q43, F31, E44, O55, P48

Zenodo (CERN European Organization for Nuclear Research)
Nigerian Defence Academy (NG)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Market Dynamics and Volatility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.