Cybersecurity disclosures and bank credit risk exposure

Purpose The study examines how cybersecurity disclosures (CYD) affect the credit risk of Ghanaian universal banks (GUB). It also examines how bank size, listing status and ownership status influence the relationship between CYD and credit risk. Design/methodology/approach This study used data from 20 Universal banks spanning 2019–2023. Its findings were validated using ordinary least squares regression with robust standard errors and other robust checks. CYD is based on content analysis, with a frequency count of 21 keywords related to cybersecurity issues. Bank Credit risk is measured using the non-performing loans ratio (NPL). Findings The study finds that CYD lowers the NPL in Ghanaian universal banks. However, CYD has no significant effect on the NPL of smaller and domestically owned banks, but it decreases the NPL of large, foreign, listed and non-listed Ghanaian universal banks. Originality/value The study provides the first empirical evidence that CYD helps GUB reduce credit risk exposure and shows how bank size, listing and ownership status influence this relationship.

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Publication Details

Journal
International Journal of Bank Marketing
Published
2026-03-17
DOI
https://doi.org/10.1108/ijbm-03-2025-0192
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity disclosures and bank credit risk exposure

Joseph Opuni-Frimpong
International Journal of Bank Marketing
Information and Cyber Security
article

Cybersecurity disclosures and bank credit risk exposure

Joseph Opuni-Frimpong
article en

Abstract

Purpose The study examines how cybersecurity disclosures (CYD) affect the credit risk of Ghanaian universal banks (GUB). It also examines how bank size, listing status and ownership status influence the relationship between CYD and credit risk. Design/methodology/approach This study used data from 20 Universal banks spanning 2019–2023. Its findings were validated using ordinary least squares regression with robust standard errors and other robust checks. CYD is based on content analysis, with a frequency count of 21 keywords related to cybersecurity issues. Bank Credit risk is measured using the non-performing loans ratio (NPL). Findings The study finds that CYD lowers the NPL in Ghanaian universal banks. However, CYD has no significant effect on the NPL of smaller and domestically owned banks, but it decreases the NPL of large, foreign, listed and non-listed Ghanaian universal banks. Originality/value The study provides the first empirical evidence that CYD helps GUB reduce credit risk exposure and shows how bank size, listing and ownership status influence this relationship.

International Journal of Bank Marketing
University of Ghana (GH), University of Professional Studies (GH)
Openalex Percentile: Top 20%
Information and Cyber Security
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