Journals / İktisat Politikası Araştırmaları Dergisi / 2022 / Cilt: 9 - Sayı: 1

Credit Risk Management and the Financial Performance of Domiciled Banks in Sierra Leone: An Empirical Analysis

Pages
139–164
Publication Date
2022-01-27
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The study finally recommends that ROA and ROE be adopted as independent indicators by the regulatory authorities to effectively monitor performances across the banking industry, as this would help monitor unexpected shocks in the banking system.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study assesses the nexus between credit risks and performance of commercial banks in Sierra Leone using data collected from the Bank of Sierra Leone (BSL) on relevant Financial Soundness Indicators like ROA, Bank Liquidity, NPL, and Credit over the 2008Q1-2018Q4 period.
📊
Key Findings & Data:The study revealed the need for collaboration between the research arm of monetary policy and financial stability departments in a bid to monitor risk in the financial system, which the entire banking system experienced around 2015-2017 that resulted in stringent measures adopted by the BSL to rescue the two state–own commercial banks.
💡
Conclusion & Impact:The study finally recommends that ROA and ROE be adopted as independent indicators by the regulatory authorities to effectively monitor performances across the banking industry, as this would help monitor unexpected shocks in the banking system.
🔬Design:Modeling & Simulation
📍Scope:2015-2017 Verileri
⚙️Variables:Credit Risk · Profitability · Non-Performing Loan

Abstract

This study assesses the nexus between credit risks and performance of commercial banks in Sierra Leone using data collected from the Bank of Sierra Leone (BSL) on relevant Financial Soundness Indicators like ROA, Bank Liquidity, NPL, and Credit over the 2008Q1-2018Q4 period. Evidence from (unbalanced) panel data estimation within the fixed effects model shows that the fragility of the banking system stems from high NPLs. We further provide evidence that a low productive base in the domestic economy influences the state of high NPLs in the banking system. The study revealed the need for collaboration between the research arm of monetary policy and financial stability departments in a bid to monitor risk in the financial system, which the entire banking system experienced around 2015-2017 that resulted in stringent measures adopted by the BSL to rescue the two state–own commercial banks. Equally, vigilant approaches should be explored by the BSL authority that leads to (positive) structural changes in banks’ approach to improving efficiency while at the same time minimizing continued risks to high NPLs and many more. The study finally recommends that ROA and ROE be adopted as independent indicators by the regulatory authorities to effectively monitor performances across the banking industry, as this would help monitor unexpected shocks in the banking system.

🔖

Cite This Article

JACKSON, E. A., TAMUKE, E. (2022). Credit Risk Management and the Financial Performance of Domiciled Banks in Sierra Leone: An Empirical Analysis. İktisat Politikası Araştırmaları Dergisi, Cilt: 9 - Sayı: 1, 139–164. https://ajindex.com/articles/372682

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. Barclays. (n/d). Barclays Bank in Sierra Leone. Retrieved September 10, 2021, from https://www.archive.barclays. com/items/show/5349. google scholar Barone, A. (2019). Factor. Retrieved July 28, 2021, from https://www.investopedia.com/terms/f/factor.asp. google scholar Basel Committee on Banking Supervision. (2006). Basel II: International convergence of capital measurement and capital standards: A revised framework - comprehensive version. Bank of International Settlements. Retrieved June 20, 2021, from http://www.bis.org/publ/bcbs128.htm. google scholar Bekaert, G., Hoerova, M., & Lo Duca, M. (2013). Risk, uncertainty and monetary policy. Journal of Monetary Economics, 60(7), 771-788. google scholar Ben-Naceur, S., & M. Omran. (2008). The effects of bank regulations, competition, and financial reforms on MENA banks profitability. Economic Research Forum, Working Paper No. 44. google scholar Bhattaria, Y.R. (n/d). Effect of credit risk on the performance ofNepalese Commercial Banks. Retrieved August 15, 2021, from https://pdfs.semanticscholar.org/2e79/19dea4a0534bc6a6b634d4ab8e2b4fcc8f1e.pdf. google scholar Brownbridge, M. (1998). The causes of financial distress in local banks in Africa and implications for prudential policy. UNCTAD/OSG/ Discussion Paper, No 132. Retrieved September 10, 2921, from http://www.unicc.org/ unctad/en/pressref/prdis.htm. google scholar Boateng, K. (2019). Credit risk management and performance of banks in Ghana: the “Camels” rating model approach. International Journal ofBusiness and Management Invention, 8(2), 41-48. google scholar BSL. (2020). Financial stability report 2018. Retrieved July 10, 2021, from http://www.bsl.gov.sl/FSR_2018.pdf. google scholar BSL. (2019). The bank of Sierra Leone act 2019. Retrieved December 19, 2021, from http://www.bsl.gov.sl/ Bank%20of%20Sierra%20Leone%20Ascent%202019.pdf. google scholar BSL. (2011). The bank of Sierra Leone act 2011. Retrieved June 26, 2021, from http://www.bsl.gov.sl/BSL_ Act_2011.pdf. google scholar Caggiano, G., Calice, P., & Leonida, L. (2014). Early warning systems and systemic banking crises in low income countries: A multinomial logit approach. Journal of Banking and Finance, 47, 258-269. https://doi. org/10.1016/j.jbankfin.2014.07.002. google scholar Calomiris, C. W., & Haber, S. H. (2014). Fragile by design: The political origins of banking crises and scarce credit. New Jersey, USA: Princeton University Press. google scholar Crouhy, M., Galai, D., & Mark, R. (2000).