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This study aims to investigate the relationships between loan growth, loan losses and net income after the 2008 global financial crisis. This study further conducts a comparative analysis by considering the period of COVID-19.

This study uses panel data models such as one-step system GMM, random effects, fixed effects and OLS, with a data set of 131 Chinese commercial banks from 2009 to 2020.

The study finds no significant relationship between loan growth and future loan losses. However, after adjusting loan loss by net interest income (NII-adjusted loan loss), the study reveals that loan growth in the subsequent year decreases if NII-adjusted loan loss increases. The study also demonstrates the positive effect of loan growth on net income as newly expanded loans are funded at similar costs but offered at a lower rate compared with existing loans. During COVID-19, loan growth and net income were higher than in previous years.

The findings suggest that Chinese banks can increase lending to support the economy without sacrificing loan quality, emphasizing the importance of maintaining and enhancing credit policies and practices. Chinese banks should also continue to refine their pricing strategies for loans and deposits. The findings also imply that China's policy responses to the impact of COVID-19 could serve as lessons for future policy decisions.

This study aims to analyze the moderating role of capital on the relationship between loan growth and credit risk for Islamic banks in the post-crisis era.

The study used annual data of 217 Islamic banks from 38 countries and ranges from 2010–2019. The study applies a two-step system GMM method for hypotheses testing about the moderating role of bank capital on the relationship between loan growth and credit risk in Islamic banks.

The findings showed that an increase in loan growth increases the credit risk of Islamic banks, as evidenced by loan loss provisions, loan loss reserves and nonperforming loans. The results indicate that capital positively moderates the relationship between loan growth and credit risk in Islamic banking. The positive relationship between bank capital and risk-taking is in line with the “regulatory hypothesis” in banking. The findings predict lower impacts of capital on the relationship between loan growth and credit risk in the South Asian region than MENA, Africa, South, East and Central Asia regions. However, the impact of capital is higher for larger Islamic banks than medium and smaller ones.

The findings of the study add value to the current debate on the role of bank capital to reduce risk-taking in Islamic banks. The study's findings have implications for policymakers, managers, especially in Islamic banking, for improving the Islamic financial system by managing the role of capital, loan growth and credit risk.

This is the first study to explore the moderating role of bank capital on the relationship between loan growth and credit risk in the post-crisis era, especially in Islamic banking. This is the first study in the Islamic banking context, which is providing empirical evidence for the impact of loan growth on the back looking and forward-looking proxies of credit risk under the moderating role of bank capitalization in the post-crisis era. This is the first study, which providing findings based on regions and size to compare the differences in Islamic banks for the impact of loan growth on credit risk under the moderating role of capitalization.

This study aims to test whether loan loss provisions in Islamic banks is procyclical by explicitly examining the link between non-discretionary provisions and loan growth. In the next stage, this paper tests whether the link between non-discretionary provisions and loan growth is conditional on bank capitalization and lending. This is to identify whether bank-specific factors affect the procyclicality of non-discretionary provisions and whether such procyclicality can be explained by income smoothing in banks with different capitalization and loan profiles.

This study is conducted in four stages. The first stage identifies the determinants of loan loss provisions. The second stage investigates whether income smoothing is affected by capitalization and lending activities. In the third stage, the link between non-discretionary provisions and loan growth is examined. In the fourth stage, this paper tests whether the link between non-discretionary provisions and loan growth is affected by bank capitalization and lending. A two-way panel-fixed effect model is used.

Non-discretionary provisions are procyclical, particularly for banks with lower capitalization and lending activities, because such banks do not conduct income smoothing. Specifically, banks with lower capitalization experience a decline in loan growth when non-discretionary provisions to cover credit risk increase.

The dataset used in this study follows Soedarmono et al. (2017) and does not enable to differentiate types of financing products in Islamic banks that may exacerbate or mitigate the procyclicality of non-discretionary provisions.

This paper extends prior literature on the procyclicality of loan loss provisions by specifically investigating the influence of non-discretionary provisions on loan growth in Islamic banks and whether such relationship depends on the role of income smoothing undertaken by banks with different levels of capitalization and lending. This paper builds on the work of Soedarmono et al. (2017) in which they do not explicitly examine the relationship between loan loss provisions and loan growth.

This study aims to analyze bank lending behavior before and during the most recent financial crisis. Banks are more willing to grant loans during economic expansion. However, this behavior can result in reduced portfolio asset quality. The analysis tries to facilitate understanding of whether this relationship is always true. A second aim of the study is to highlight whether the impact of credit risk on bank lending behavior during a financial crisis is greater for banks that grew faster during the pre-crisis period than for other banks.

The analysis is based on a sample of banks in Italy, an example of a country undergoing a credit crunch without a lending bubble burst. The methodology is based on a panel regression and author uses different models to test his hypothesis: an ordinary least squares, a fixed effect, a least absolute regression and a Generalized Method of Momentum (GMM). This allows to mitigate some of the endogeneity problems.

The essay shows that effectively, most of the banks that grew faster during a pre-crisis period show a higher growth of non-performing loans and a greater reduction in lending activity during a financial crisis. However, 34 per cent of banks that grew faster during a pre-crisis period have a low growth of non-performing loans in the subsequent years. Finally, the results suggest that credit risk negatively affects bank lending behavior, but a higher impact relative to fast banks with respect to other banks cannot be emphasized.

Findings have some policy implications. First, given the adverse effect of the increase of non-performing loans (NPLs) on the bank’s lending activity and on the broad economy in general, there is merit to strengthen supervision to prevent a further increase and accumulation of NPLs in the bank’s credit portfolio. In addition, the supervisors could require that banks take always high credit standard when extend credit, both during positive economic cycle and during period of contraction. The using of higher credit standard could be helpful in the reduction of the pro-cyclicality of bank’s lending behavior and credit risk. Furthermore, the fact that high level of NPLs continues to impact on the bank’s lending activity and that this activity is very important for the economic recovery underlines that banks should clean-up their credit portfolios as soon as possible.

This paper contributes to the literature in various ways. The study analyzes the cyclical effect of credit growth, i.e. banks increase their bank lending behavior during good times, which leads to an increase in bad loans and a high credit risk in their portfolio. These cyclical effects are not knowingly studied together, but the literature usually analyzes the single steps of the cycle. Second, studying listed and unlisted banks allows to have a more representative sample and to analyze better the real bank lending activity considering both commercial than cooperative banks.

This chapter investigates a shock transmission path between a home country (a country where globalized banks’ headquarters are located) and a host country (Indonesia as the emerging market) through the lending channel of global banks’ local branches (i.e., the internal transfer channel). Using novel data of monthly individual foreign bank’s balance sheet in Indonesia, the author finds the evidence that shocks to a parent bank and a home economy are transmitted to a host economy through the foreign banks’ internal capital market. With the Indonesia banks’ capital injections and their difficulty in financing dollar funds without risk premiums since the 1998s crisis, the foreign banks’ dollar lending in Indonesia is a good showcase of internal capital markets. A change in a home stock market index and industrial production appears to have a negative effect on growth rates in foreign currency loans of foreign banks in the host market. On the other hand, high growth rates in the parent bank’s stock price in the home market lead to an increase in foreign banks’ US dollar lending in the host country. This effect does not appear in local currency lending because limited hedging instruments against foreign exchange risk results in immobility of bank capital in the local currency.

Purpose: The main purpose of this chapter is to thoroughly investigate the diverse literature available concerning nonperforming loans (NPLs) and its determinants by studying and analyzing the empirical studies from 1985 to 2019.

Design/Methodology: A qualitative approach is being incorporated, and by using content analysis, various previous studies are reviewed and important issues like the objectives, methodology, key findings, and variables are reported.

Findings: The study tries to compile the main findings from the various studies done concerning NPLs and its determinants. The study shows how various determinants both bank-specific and macroeconomic affect the banking structure and thus the NPLs, in different countries and at different periods of time. The study also highlights how countries’ banking structure got affected by various economic phenomena like recession, contagious effect of the financial crisis, banking Basel norms, and NPL management strategies. Further major issues like data acquisition, lack of data reporting, countries specific banking conditions, methodologies used in the analysis, scarce resources, and disclosure hindrance which are faced by previous studies were also reported.

Originality/Value: As there are very few studies that provide a detailed viewpoint on NPLs and its determinants in this area, this research will provide a concise and detailed framework for the researchers to analyses the diverse literature on NPLs and its determinates.

This study contributes to the debate about the sustainability of Chinese loans in Africa. The literature suggests that economic growth is among other crucial debt dynamic indicators for assessing debt sustainability in the economy. However, this hypothesis has hardly been tested in the current case due to data ambiguities on Chinese loans to Africa. Following China Africa Research Initiative (CARI)'s initiative to ameliorate these data challenge, this study utilises CARI's dataset in a GMM panel VAR framework for the period (2000–2018) to explore the dynamic relations between Africa's growth and Chinese loans. The methodology is theoretically underpinned by the exogenous growth models that consider physical capital accumulation in the form of savings as a prime growth stimulus in the economy's production function. Thus, Chinese loans are typically viewed as physical capital input that directly adds to Africa's physical capital accumulation. It was found that Africa's growth responds positively to Chinese loans but only in the short run. In the long run, the effects of shocks to Chinese loans on Africa's growth phase out despite the inclusion of merchandise trade as a productivity factor in the model. The findings suggest that Chinese loans can boost Africa's growth through physical capital accumulation. Nonetheless, for growth to continue in the long run, these loans ought to be effectively invested in productive economic sectors that can generate productivity-enhancing economic incentives and enough savings for repayment. This initiative should be complemented by reforming institutions involved in acquiring, investing and servicing Chinese loans.

This paper aims to examine the relationship between abnormal loan growth and risk in Swedish financial institutions by type and borrower using three indicators as proxies for risks related to loan losses, the ratio of interest income to total loans and solvency perspectives.

Using a large sample of different types of Swedish financial institutions, this paper uses a panel framework to examine the relationships between abnormal loan growth rates and loan losses, interest income as a percentage of total loans, changes in the equity to assets ratio and changes in z-score.

The findings show two important points of evidence. First, abnormal lending to retail customers increases loan losses and interest income in relation to total loans. Second, abnormal lending to other credit institutions decreases loan losses and significantly changes the capital structure by increasing the reliance on debt funding and significantly improves the z-score measure.

The findings provide useful implications for the management of loan portfolios for a wide range of Swedish financial institutions, identifying two components: abnormal lending to households may increase loan losses and increase interest income in relation to total loans, and excessive lending to other credit institutions may reduce solvency risk and allow more debt financing for the financial institution.

This is the first study to use a panel framework in analyzing the behavior of different types of Swedish financial institutions in relation to loans granted to retail customers and other credit institutions.

The purpose of this research is to examine the growth rates of commercial banks and credit unions around the financial crisis and recovery. Credit unions are analyzed as a group and by field of membership. Specifically, this research analyzes the growth rates of assets, deposits, and loans.

This research employs univariate tests of differences to examine the median growth rates for commercial banks and credit unions. Unbalanced pool regressions analyze growth rates during the pre-crisis, crisis, and recovery periods, controlling for size, net charge-offs, and unemployment.

Univariate test results that control for size show that banks grow at faster rates than credit unions for most of the pre-crisis years. However, medium sized credit unions grow at faster rates for most of the crisis and recovery years. Results of unbalanced pool regressions suggest that, overall, credit unions grow at slower rates than do banks. However, during the crisis and recovery, credit union growth is significantly greater than that of banks, after controlling for net charge-offs, size, and unemployment. Credit union growth varies by field of membership type.

Although a large volume of research examines commercial bank performance around the financial crisis, only a few papers assess the performance of credit unions. And very few papers compare commercial banks and credit unions. This paper explores how the recent financial crisis influenced the growth of commercial banks and credit unions from 2005 to 2013.

This paper addresses the question “Does the growth of nonperforming loan ratio (GNPL) have a temporal impact on private credit growth (PCG)?” for the Bangladesh banking industry during and after the global financial crisis of 2008.

It employs the autoregressive distributed lag (ARDL) model to examine the temporal equilibrium relationship and causality between PCG and GNPL.

The results of ARDL bound tests confirm the existence of a single cointegrating vector and temporal equilibrium relationship between variables of interest. According to the error correction mechanism (ECM), there is unidirectional causality from GNPL to PCG in the long run and short run. In the long run, higher GNPL curtails PCG since bankers use the nonperforming loan ratio as a signal and indicator of credit risk in their loan decision-making. In the short run, GNPL positively impacts PCG. It may be because banks go through a rigorous process before declaring a loan as nonperforming that takes time. At the same time, bankers' loan decisions may also be guided by the banks myopic concern of reputation in the short run.

The paper recommends policy prescriptions for the bank risk management, regulatory bodies and the legal authorities. The lending policy of banks should consider the legacy of bad assets. The efficiency of the legal system can also aid in effectively implementing the regulatory guidelines.

The paper inaugurates a bivariate cointegration analysis between PCG and GNPL in the literature. It has utilized quarterly aggregate data in the context of a developing economy like Bangladesh.