2018
DOI: 10.1016/j.rdf.2018.08.001
|View full text |Cite
|
Sign up to set email alerts
|

Determinants of credit risk in the banking system in Sub-Saharan Africa

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
39
1
2

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 58 publications
(47 citation statements)
references
References 22 publications
5
39
1
2
Order By: Relevance
“…The banks in question were selected using the purposeful sampling method premised on the availability of complete and required information on the variables under consideration. According to Mpofu and Nikolaidou (2018), SSA countries (inclusive of the countries examined) were unique as they possess the same economic and banking features—most importantly, they all face the challenge of huge NPLs in their banking sectors. Thus, the data was collected using the extraction method from the IMF database and Bank Scope/Orbis‐bank focus database.…”
Section: Methodsmentioning
confidence: 99%
“…The banks in question were selected using the purposeful sampling method premised on the availability of complete and required information on the variables under consideration. According to Mpofu and Nikolaidou (2018), SSA countries (inclusive of the countries examined) were unique as they possess the same economic and banking features—most importantly, they all face the challenge of huge NPLs in their banking sectors. Thus, the data was collected using the extraction method from the IMF database and Bank Scope/Orbis‐bank focus database.…”
Section: Methodsmentioning
confidence: 99%
“…Perceivably, NPF was impacted by internal and external elements. Research by [42,43,44] demonstrated that macro and microeconomic aspects (GDP and inflation rate) potentially influenced bank NPF. Additionally, internal bank-specific factors (higher capitalisation and inadequate operation) impacted bank NPF [45,46,47].…”
Section: Asset Qualitymentioning
confidence: 99%
“…Credit risk is the probability that a credit is not paid in time or the established form, compromising the financial institution's profitability (Karimi, 2014;Million et al, 2015;Mpofu and Nikolaidou, 2018). To estimate the financial performance of an accredited SME is basic/primordial in the credit evaluation.…”
Section: Credit Riskmentioning
confidence: 99%
“…Source: Own Elaboration. (2015), Mpofu and Nikolaidou (2018), Trejo García et al (2017), Waemustafa and Sukri (2015), Perez and Fernandez (2007), Gila-gourgoura and Nikolaidou (2018), Gai and Lelasi (2014), Ozili and Outa (2017), Gómez and Checo (2014) Credit risk is the probability that a payment is paid neither in time nor in the established form Probability of default Perez and Fernandez (2007), Leal, Aranguiz, &Mardones (2018), Gai and Lelasi (2014), Navaretti et al (2015), Trejo García et al (2017), Gómez and Checo (2014)…”
Section: Research Proposalmentioning
confidence: 99%