Impact of Credit Risk Management Systems on the Financial Performance of Commercial Banks in Uganda

dc.contributor.authorSerwadda, Isah
dc.date.accessioned2021-11-28T01:02:16Z
dc.date.available2021-11-28T01:02:16Z
dc.date.issued2018
dc.date.updated2021-11-28T01:02:16Z
dc.description.abstractThe paper is set to analyse the impact of credit risk management on the financial performance of commercial banks in Uganda for a period of 2006-2015 using panel data for a sample of 20 commercial banks. The study employs return on assets as a dependent variable and non-performing loans, growth in interest earnings and loan loss provisions to total loans as credit risk measures. Secondary data is sourced from the Bank scope database, African development bank and the central bank of Uganda. The study employs descriptive statistics, regressions and correlation analysis. Regression models are to estimate the magnitude of significance of credit risk management on the performance of commercial banks in Uganda. The study revealed that credit risk management impacts on the performance of Ugandan commercial banks. The results portrayed that banks' performance was inversely influenced by non-performing loans which may expose them to large magnitudes of illiquidity and financial crisis. Thus given such results, the researcher recommends that banks need to enhance their credit risk management techniques not only to earn more profits but also to maintain a qualitative asset portfolio and attention be given to non-performing loans, loan loss provision to total loans and growth in interest earnings that were found to be significant. Banks need to design appropriate credit policies that must handle all necessary conditions before advancing credit to their customers and also develop strong credit administration committees and teams that must conduct appropriate and sound loan appraisal evaluations and which must also monitor the loans throughout the required processes right from extending a loan to a customer up to the completion of loan repayments so as to mitigate credit risks.en
dc.description.versionOA
dc.format1627-1635
dc.identifier43916221
dc.identifier.issn1211-8516
dc.identifier.urihttps://repozitar.mendelu.cz/xmlui/handle/20.500.12698/1401
dc.project.IDPEF_TP_2018006
dc.project.IDRedukce nejistoty při analýze velkých dat prostřednictvím Bayesovského průměrování modelů
dc.publisherMendelova univerzita v Brně
dc.relation.ispartofActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
dc.relation.urihttps://doi.org/10.11118/actaun201866061627
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectloan provisionsen
dc.subjectnon-performing loansen
dc.subjectcredit risken
dc.titleImpact of Credit Risk Management Systems on the Financial Performance of Commercial Banks in Ugandaen
dc.typeJ_ČLÁNEK
local.contributor.affiliationPEF
local.identifier.doi10.11118/actaun201866061627
local.identifier.e-issn2464-8310
local.identifier.obd43916221
local.identifier.scopus2-s2.0-85060699363
local.number6
local.volume66

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