Modelling and forecasting stock market volatility using GARCH models

This study empirically models and forecasts stock market volatility in Nigeria using the GARCH family of econometric models applied to twenty five years of monthly Nigerian Exchange Group All-Share Index data spanning January 2000 to December 2024. The work is motivated by the substantial structural shocks introduced by the 2023 macroeconomic policy reforms, specifically the removal of petroleum fuel subsidies and the unification of the foreign exchange windows, which fundamentally altered th

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Publication Details

Journal
Journal of Interdisciplinary Postgraduate Research
Published
2026-06-26
DOI
https://doi.org/10.61955/abhzhl
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
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article

Modelling and forecasting stock market volatility using GARCH models

Shobanke, Shobanke,
Journal of Interdisciplinary Postgraduate Research
Financial Risk and Volatility Modeling
article

Modelling and forecasting stock market volatility using GARCH models

Shobanke, Shobanke,
article en

Abstract

This study empirically models and forecasts stock market volatility in Nigeria using the GARCH family of econometric models applied to twenty five years of monthly Nigerian Exchange Group All-Share Index data spanning January 2000 to December 2024. The work is motivated by the substantial structural shocks introduced by the 2023 macroeconomic policy reforms, specifically the removal of petroleum fuel subsidies and the unification of the foreign exchange windows, which fundamentally altered th

Journal of Interdisciplinary Postgraduate Research
Federal University Lokoja (NG)
Openalex Percentile: Top 5%
Financial Risk and Volatility Modeling
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