Narrow Results

This study compares the sensitivity of each household nonperforming loans (NPLs) category in Malaysia, allowing asymmetry across different household credit types, credit cards, personal uses, purchase of residential properties and purchase of transport vehicles. Differences in the impact of household debt on the Malaysian household NPLs are found evident. In the sample period from 2006 to 2018, the findings suggest an asymmetric impact of credit card debts on the household NPLs. This linkage is explained by only short-run negative changes in credit card outstanding loans. Besides that, the residential property loans behave asymmetrically in the long and short run, with higher impact sources from the negative changes. In a disaggregated NPL analysis focusing on a different type of loan portfolio, the asymmetry further enhances policy and regulation-making in managing household credit risk.

Credit risk has severe impacts on banks’ performance, leading to financial and economic distress. To highlight this interesting issue, this study explores bank-specific and macroeconomic determinants of banks’ credit risk, denoted by the level of nonperforming loans (NPLs). The study includes 98 banks from 10 Middle East and North African (MENA) emerging countries spanning the period between 2003 and 2016. The analysis employs panel data estimation technique. Our results reveal that bank size, capital adequacy ratio, bank operating efficiency, profitability, GDP growth, unemployment, inflation, and public debt represent the main determinants of NPLs in MENA emerging markets. The results of this research have practical implications for bank managers, regulators, investors, and financial analysts. This study provides significant insights on the determinants of NPLs, which will allow bank managers to design credit policies that minimize borrowers’ defaults. The findings of the study are useful to policy makers to establish new and reinforce existing regulations to maintain the steadiness of the banking sector in MENA emerging countries.

This paper proposes a measure of disclosure of internal control of credit risk and explores the extent to which this disclosure improves the performance of Tunisian listed banks. We use a self-constructed disclosure index from content analysis. From regressing panel data applied on a sample of 11 listed Tunisian banks during the period from 2007 to 2017, we find that disclosure of Internal Control System of Credit Risk (DICSCR) improves the performance of banks through the implementation of methods and procedures for controlling credit risk. Moreover, the results show that the interactions between DICSCR and the audit committee, the risk committee, and the internal auditor enhance the performance of the banks. Constructing a measure of disclosure inherent to the internal control system of credit risk allows investors and depositors to make relevant decisions, leads to better understanding the level of risk when controlling the bank by internal auditors and external auditors as well. It provides the Central Bank with a useful tool for evaluating the credit risk of the banks.