How inefficient is an inefficient credit process? An analysis of the Italian banking system. Issue 3 (23rd July 2021)
- Record Type:
- Journal Article
- Title:
- How inefficient is an inefficient credit process? An analysis of the Italian banking system. Issue 3 (23rd July 2021)
- Main Title:
- How inefficient is an inefficient credit process? An analysis of the Italian banking system
- Authors:
- Cincinelli, Peter
Piatti, Domenico - Abstract:
- Abstract : Purpose: The paper aims to disentangle the physiological credit risk from the credit risk coming from the inefficient screening and monitoring management process. The analysis is conducted on a sample of 338 Italian banks–56 joint-stock banks (SpA), 23 cooperative banks (Popolari) and 259 mutual banks (BCCs)–over the time period 2006–2017. Design/methodology/approach: The authors use the maximum likelihood method to estimate the efficient frontier, as a set of best management credit practices, which minimises the credit risk defined on the basis of the level of loans granted, the technical structure of the loan portfolio (such as credit lines, mortgages, consumer loans and other technical loan categories) and the interest rate charges. Findings: The empirical results show that the increase in non-performing loans (NPLs) is related both to the severe and protracted recession in Italy, which significantly reduced borrowers' capacity to service their debt, and to other factors, such as banks' lending monitoring policies with limited capacity to work-out defaulted loans. Originality/value: The authors propose a new approach to the study of the performance of the credit process. With the stochastic frontier, the physiological credit risk, assumed by the bank according to its lending activity and management choices, is separated from the credit risk resulting from an inefficient management of the screening and monitoring process. In addition, the authors analyse theAbstract : Purpose: The paper aims to disentangle the physiological credit risk from the credit risk coming from the inefficient screening and monitoring management process. The analysis is conducted on a sample of 338 Italian banks–56 joint-stock banks (SpA), 23 cooperative banks (Popolari) and 259 mutual banks (BCCs)–over the time period 2006–2017. Design/methodology/approach: The authors use the maximum likelihood method to estimate the efficient frontier, as a set of best management credit practices, which minimises the credit risk defined on the basis of the level of loans granted, the technical structure of the loan portfolio (such as credit lines, mortgages, consumer loans and other technical loan categories) and the interest rate charges. Findings: The empirical results show that the increase in non-performing loans (NPLs) is related both to the severe and protracted recession in Italy, which significantly reduced borrowers' capacity to service their debt, and to other factors, such as banks' lending monitoring policies with limited capacity to work-out defaulted loans. Originality/value: The authors propose a new approach to the study of the performance of the credit process. With the stochastic frontier, the physiological credit risk, assumed by the bank according to its lending activity and management choices, is separated from the credit risk resulting from an inefficient management of the screening and monitoring process. In addition, the authors analyse the determinants of the excess of NPLs. This aspect is considered particularly original because the scientific contributions which consider the causes of NPLs have largely focused on the level of NPLs not considering the physiological part, linked to the structure of the bank's loan portfolio and its operational strategy and therefore not compressible and in any case not attributable to mismanagement or moral hazard. … (more)
- Is Part Of:
- Journal of risk finance. Volume 22:Issue 3(/42021)
- Journal:
- Journal of risk finance
- Issue:
- Volume 22:Issue 3(/42021)
- Issue Display:
- Volume 22, Issue 3/4 (2021)
- Year:
- 2021
- Volume:
- 22
- Issue:
- 3/4
- Issue Sort Value:
- 2021-0022-NaN-0000
- Page Start:
- 209
- Page End:
- 239
- Publication Date:
- 2021-07-23
- Subjects:
- Banking industry -- Credit monitoring -- Stochastic frontier -- Italian banks -- Lending inefficiency
C14 -- C33 -- G21 -- G30
Risk management -- Periodicals
Risk (Insurance) -- Periodicals
Risk assessment -- Periodicals
658.155 - Journal URLs:
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http://www.emeraldinsight.com/journals.htm?issn=1526-5943 ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JRF-08-2020-0184 ↗
- Languages:
- English
- ISSNs:
- 1526-5943
- Deposit Type:
- Legaldeposit
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