Long-term Debt, Profitability and Stock Market Volatility at the Nairobi Securities Exchange, Kenya.

Abstract:This study examines the effect of long-term debt on stock market volatility among firms listed on the Nairobi Securities Exchange (NSE) in Kenya from 2013 to 2022. Using a positivist research paradigm and a causal design, the research employs panel data analysis and a Generalized Autoregressive Conditional Heteroskedasticity (GARCH 1,1) model. Data from 60 active NSE-listed firms are analyzed annually, with the Random Effects Model (REM) identified as the most suitable, controlling for firm size and including profitability as a moderator. The findings show a statistically significant and positive relationship between long-term debt and stock market volatility within the controlled and moderated REM. This indicates that higher levels of long-term debt contribute to increased market fluctuations at the NSE, despite its importance for corporate growth. The study concludes by recommending that investors consider long-term debt in risk assessments, companies adopt strategic debt management, and the Capital Markets Authority (CMA) closely monitors this dynamic to maintain market stability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-28
DOI
https://doi.org/10.5281/zenodo.17739327
Primary Topic
Corporate Finance and Governance
Type
article
Field-Weighted Citation Impact
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article

Long-term Debt, Profitability and Stock Market Volatility at the Nairobi Securities Exchange, Kenya.

Zenodo (CERN European Organization for Nuclear Research)
Corporate Finance and Governance
article

Long-term Debt, Profitability and Stock Market Volatility at the Nairobi Securities Exchange, Kenya.

article en

Abstract

Abstract:This study examines the effect of long-term debt on stock market volatility among firms listed on the Nairobi Securities Exchange (NSE) in Kenya from 2013 to 2022. Using a positivist research paradigm and a causal design, the research employs panel data analysis and a Generalized Autoregressive Conditional Heteroskedasticity (GARCH 1,1) model. Data from 60 active NSE-listed firms are analyzed annually, with the Random Effects Model (REM) identified as the most suitable, controlling for firm size and including profitability as a moderator. The findings show a statistically significant and positive relationship between long-term debt and stock market volatility within the controlled and moderated REM. This indicates that higher levels of long-term debt contribute to increased market fluctuations at the NSE, despite its importance for corporate growth. The study concludes by recommending that investors consider long-term debt in risk assessments, companies adopt strategic debt management, and the Capital Markets Authority (CMA) closely monitors this dynamic to maintain market stability.

Zenodo (CERN European Organization for Nuclear Research)
Jomo Kenyatta University of Agriculture and Technology (KE)
Partnerships for the goals
Openalex Percentile: Top 31%
Corporate Finance and Governance
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Long-term Debt, Profitability and Stock Market Volatility at the Nairobi Securities Exchange, Kenya. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS