2021
DOI: 10.1016/j.irfa.2021.101825
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Provisioning over the business cycle: Some insights from the microfinance industry

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Cited by 14 publications
(4 citation statements)
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“…The first measure of credit risk, PAR90 , is the proportion of MFI loan portfolios exceeding 90 days overdue. Because MFI loans tend to be issued for shorter terms than those of commercial banks, we also use PAR30 , measuring the proportion of loan portfolios exceeding 30 days overdue (Castellani and Afonso, 2021; Hessou et al , 2021). The third measure of credit risk, ZSCORE , provides an indicator of an MFI’s credit risk relative to its peers (Zamore et al , 2019; Mohamed and Elgammal, 2023a).…”
Section: Methodsmentioning
confidence: 99%
“…The first measure of credit risk, PAR90 , is the proportion of MFI loan portfolios exceeding 90 days overdue. Because MFI loans tend to be issued for shorter terms than those of commercial banks, we also use PAR30 , measuring the proportion of loan portfolios exceeding 30 days overdue (Castellani and Afonso, 2021; Hessou et al , 2021). The third measure of credit risk, ZSCORE , provides an indicator of an MFI’s credit risk relative to its peers (Zamore et al , 2019; Mohamed and Elgammal, 2023a).…”
Section: Methodsmentioning
confidence: 99%
“…Some studies observed a deterioration in the quality of the credit portfolio of MFIs during the 2007–09 financial crisis (Lützenkirchen & Westroffer, 2012; Marulanda et al., 2010), others showed that MFI and bank nonperforming loan (NPL) ratios (Schulte & Winkler, 2019) and risk‐taking behavior (Wagner, 2012; Wagner & Winkler, 2013) followed a similar pattern during the global financial crisis and the immediate post‐crisis period. Other authors have highlighted a negative co‐movement between risk (provisioning) and the business cycle (Hessou et al., 2018). However, no consensus seems to emerge as to the factors explaining the decline of loan portfolio quality (repayment performance) and the increase in risk.…”
Section: Introductionmentioning
confidence: 99%
“…The magnitude of credit procyclicality could differ depending on banking systems' features such as quality of regulations, supervision, institutions, financial structure and development, as well as macroprudential policy. In spite of a large number of works on the procyclicality of LLPs in a cross-country context (Leaven and Majnoni, 2003;Bikker and Metzemakers, 2005;Soedarmono et al, 2017;Olszak et al, 2017Olszak et al, , 2018Hessou et al, 2021) to the best of our knowledge, there is no prior literature highlighting whether procyclicality of LLP is affected by competition. This paper aims to fill in this gap and investigates whether the competitive environment, which is a natural exogenous determinant of bank activity, affects the procyclicality of loan-loss provisions (henceforth LLPs) in over 100 countries around the world.…”
Section: Introductionmentioning
confidence: 99%
“…, 2017; Olszak et al. , 2017, 2018; Hessou et al. , 2021) to the best of our knowledge, there is no prior literature highlighting whether procyclicality of LLP is affected by competition.…”
Section: Introductionmentioning
confidence: 99%