FIRM SPECIFIC CHARACTERISTICS AND STOCK MARKET RETURNS OF LISTED MANUFACTURING COMPANIES IN NIGERIA.

This study investigated the influence of firm-specific characteristics on stock market returns measured by stock price appreciation among listed manufacturing companies in Nigeria over a nine-year period (2015–2023). Adopting an ex post facto research design, the study used panel data regression analysis was conducted on a selected sample of 10 manufacturing firms listed on the Nigerian Exchange Group. The independent variables included firm size, firm age, leverage, price-earnings ratio, productivity growth rate, and sales growth rate. The random effects regression model revealed that none of the firm-specific characteristics exerted a statistically significant influence on stock price appreciation. Interestingly, the sales growth rate showed a marginal but negative effect on stock returns. The findings shows that the Nigerian stock market may be inefficient, with exogenous or behavioral factors playing a more dominant role than firm-level fundamentals. Investors should integrate macroeconomic and sentiment-driven analyses, while policymakers and regulators should enhance transparency and information flow in the market. This study contributes to the understanding of the disconnect between firm-specific metrics and equity valuation in emerging markets.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17175170
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

FIRM SPECIFIC CHARACTERISTICS AND STOCK MARKET RETURNS OF LISTED MANUFACTURING COMPANIES IN NIGERIA.

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

FIRM SPECIFIC CHARACTERISTICS AND STOCK MARKET RETURNS OF LISTED MANUFACTURING COMPANIES IN NIGERIA.

article en

Abstract

This study investigated the influence of firm-specific characteristics on stock market returns measured by stock price appreciation among listed manufacturing companies in Nigeria over a nine-year period (2015–2023). Adopting an ex post facto research design, the study used panel data regression analysis was conducted on a selected sample of 10 manufacturing firms listed on the Nigerian Exchange Group. The independent variables included firm size, firm age, leverage, price-earnings ratio, productivity growth rate, and sales growth rate. The random effects regression model revealed that none of the firm-specific characteristics exerted a statistically significant influence on stock price appreciation. Interestingly, the sales growth rate showed a marginal but negative effect on stock returns. The findings shows that the Nigerian stock market may be inefficient, with exogenous or behavioral factors playing a more dominant role than firm-level fundamentals. Investors should integrate macroeconomic and sentiment-driven analyses, while policymakers and regulators should enhance transparency and information flow in the market. This study contributes to the understanding of the disconnect between firm-specific metrics and equity valuation in emerging markets.

Zenodo (CERN European Organization for Nuclear Research)
Delta State University (NG)
Decent work and economic growth
Openalex Percentile: Top 31%
Geochemistry and Geologic Mapping
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