Non-performing Loans Research Articles

Board Cultural Diversity and Nonperforming Loans: What Role Does Boardroom Gender Diversity Play?

ABSTRACTIn this paper, we examine the effect of board cultural diversity (BCD) on European banks nonperforming loans (NPLs) and whether boardroom gender diversity (BGD) moderates the BCD‐NPLs relationship. We used a sample of 75 banks in 20 European countries from 2011 to 2022. The System Generalized Method of Moment was performed as an econometric approach. We find that greater BCD increases NPLs and BGD moderates the BCD‐NPLs relationship. The sensitivity analysis results indicate that only large banks benefit from an interaction between BGD and BCD because it lowers the NPLs ratio. Our results are robust to alternative econometric methods.

Unlocking sustainability: exploring the nexus of green banking, digital transformation, and financial performance with foreign ownership moderation

The purpose of this research is to empirically test and analyze the impact of green banking, digital transformation, and asset quality on the financial performance of commercial banks with foreign ownership as a moderator. Additionally, it aims to test and analyze the financial performance of sustainable business practices for commercial banks. This study was conducted on commercial banks, specifically focusing on bank groups categorized by core capital levels 3 and 4, listed on the Indonesia Stock Exchange, covering the period from 2017 to 2022. This research employed a judgment sampling technique, encompassing a total of 47 conventional commercial banks. Panel data regression analysis, a data analysis technique, used three variables: the dependent variable, the independent variable, and the moderation variable. The research unveiled that green banking does not appear to have a significant positive impact on financial performance, whereas digital transformation shows a clear positive effect. Non-performing loans, a measure of asset quality, also affect financial performance. Additionally, foreign ownership strengthens the impact of green banking on the financial performance of commercial banks in Indonesia. However, foreign ownership does not enhance the effect of digital transformation. Finally, foreign ownership plays a moderating role in the relationship between asset quality and financial performance in these banks. Ultimately, financial performance has a significant positive influence on sustainable business, suggesting that stronger financial performance contributes to the long-term sustainability of a bank’s operations. The implications of these findings are, first and foremost, that financial institutions should prioritize incorporating sustainable and environmentally friendly practices into their operations to improve their overall financial performance and emphasize the critical role of digital transformation in enhancing financial performance. Consequently, financial institutions are required to allocate resources towards information technology infrastructure and cultivate digital capabilities to adapt to evolving customer demands, such as offering 24/7 banking services from any location. Secondly, financial institutions should not stay far away from digital disruption, but rather embrace it and adapt their strategies accordingly, which includes allocating an adequate budget for IT infrastructure investment and accessing digital services that meet the banking industry’s demands, resulting in effective communication of sustainable practices.

Impact of financial inclusion, financial stability, bank nonperforming loans, inflation, macroeconomic management quality and unemployment on economic growth in Nigeria

PurposeThe study investigates the impact of financial inclusion, financial stability, bank nonperforming loans, inflation, macroeconomic management quality and the unemployment rate on economic growth in Nigeria.Design/methodology/approachThe data are analyzed using the ordinary least squares regression, generalized linear model regression, robust least squares regression and the quantile regression methods. The sample period is from 2007 to 2022.FindingsFinancial inclusion, inflation rate and macroeconomic management quality are significant determinants of economic growth in Nigeria. Bank nonperforming loans, unemployment rate, international trade and climate change have an insignificant effect on economic growth in Nigeria. Also, financial inclusion, inflation rate, financial stability, macroeconomic management quality and the unemployment rate are significant determinants of economic growth in good economic years in Nigeria.Practical implicationsThe well-known catalysts of economic growth, such as financial inclusion and financial stability, are not positive catalysts of economic growth in Nigeria during good economic years. Therefore, it is recommended that policymakers should find the right level of financial inclusion, financial stability and unemployment that stimulate economic growth in Nigeria.Originality/valueThis study examines some determinants of economic growth in Nigeria which have not been examined in the existing literature.

Green banking disclosure and firm value: a research study at the commercial bank of Vietnam

ABSTRACT This study investigates the impact of green banking disclosure on the firm value of Vietnamese-listed commercial banks and examines the moderating role of non-performing loans (NPLs) from 2010 to 2023. Using panel data regression and content analysis, we employ the Circular 96/2020/TT-BTC disclosure index to measure green banking disclosure and Tobin’s Q to assess firm value. Our findings reveal that green banking disclosure generally reduces firm value. However, when accounting for NPLs, this negative relationship reverses, indicating a moderating effect. This research uniquely incorporates banks’ intrinsic value alongside Tobin’s Q to test the robustness of our results.

Monetary Policy Instruments and Financial Performance of the Banking Industry in Kenya

The Kenyan banking sector has faced significant volatility in recent years, notably marked by a decline in Return on Assets (ROA). This decrease reflects the sector's struggles with rising inflation, currency depreciation, and increased non-performing loans. Economic uncertainties and tighter global monetary policies have compounded these challenges, resulting in a more unstable financial environment. This volatility underscores the sector's sensitivity to both domestic and international economic conditions. In response, this research aimed to investigate the effect of monetary policy instruments on the financial performance of banks in Kenya. The study sought to analyze the effect of lending rates, money supply, open market operations (OMO), and the Central Bank Rate (CBR) on banks' financial performance. Anchored on four relevant theories—the Loanable Funds Theory, Quantity Theory of Money, Keynesian Economics, and Zero Bound Theory. The research utilized a causal design and a multiple linear regression model. Covering all 42 banks operating in Kenya from January 2009 to December 2023, the study employed secondary data. The correlation analysis reveals significant relationships between the monetary policy instruments and the financial performance of commercial banks in Kenya. Lending rates demonstrate a positive relationship with financial performance, suggesting that higher rates may benefit banks’ profitability. In contrast, both money supply and central bank rate show negative associations with financial performance, implying that increases in these variables might hinder profitability. Additionally, the analysis indicates a positive link between open market operations and bank performance, highlighting the varied effects of these monetary instruments on the banks' financial outcomes. Collectively, these insights underscore the interconnectedness of these monetary policy instruments and their impact on the financial performance of banks in Kenya. Given the complex interplay of these factors, policymakers should adopt a holistic view, regularly reviewing and adjusting policies to maintain economic stability while supporting a robust banking sector.

Financial Performance of Banking in Indonesia: A Comparison Before and During the Covid-19 Pandemic

This research aims to examine the financial performance of the banking sector in Indonesia both before and during the pandemic. In the course of this investigation, financial performance was evaluated using several factors namely Loan to deposit ratio (LDR), non-performing loan (NPL), return on assets (ROA), as well as operating expenses and operating income (BOPO). Furthermore, the data used comprised information on the banking financial conditions before (2018-2019) and during the pandemic-affected periods (2020-2021). Purposive sampling was used for sample selection and the analytical methodology adopted comprised the Wilcoxon signed rank test and paired samples t-test analysis. It is also crucial to establish that the present research utilized statistical computations conducted via the Statistical Package for the Social Sciences (SPSS) application, with a significance level of 5%. The obtained results showed that no significant difference was identified between LDR and BOPO both before and during the pandemic. However, a substantial difference was identified between NPL and ROA over the two examined periods.

Analysis of the Implementation of Risk Management to Minimize the Risk of Bad Credit at the Nias Rural Development Savings and Loans Cooperative (KSP3) Gunungsitoli Branch

This study aims to determine the application of risk management carried out by the Nias Rural Development Savings and Loan Cooperative (KSP3) Gunungsitoli Branch in minimizing the risk of bad loans. In this study, the type of research used is a descriptive type with a qualitative approach. Data collection techniques are used through observation, interviews and documentation. To obtain information, the researcher conducted direct interviews with 6 informants, namely branch heads, 2 employees and 3 members of the Nias Rural Development Savings and Loan Cooperative (KSP3) Gunungsitoli Branch. The data analysis techniques used in qualitative research include transcripts of interview results, data reduction, data presentation and conclusion drawn. The results of the study show that the implementation of risk management carried out by the Nias Rural Development Savings and Loan Cooperative (KSP3) Gunungsitoli Branch is carried out through a series of stages, namely risk identification, risk measurement, risk monitoring and risk control. The implementation of risk management to minimize the risk of bad loans has been effectively implemented by KSP3 Nias Gunungsitoli Branch as evidenced by the NPL (Non-Performing Loan) rate from 2020-2022 which is still below 5%.

An in-depth analysis of financial metrics and their interrelations in shaping the performance of commercial banks in Cambodia

This study aims to systematically identify and analyze key financial metrics that influence the performance of commercial banks in Cambodia. Utilizing 2023 data from the National Bank of Cambodia across 59 banks, the research adopts an explanatory framework based on cross- sectional data analysis. The findings reveal that Loan Growth (LG) exhibits no statistical significance in relation to Return on Equity (ROE), suggesting that increases in lending do not necessarily enhance bank profitability in the Cambodian context. Conversely, Non-Performing Loans (NPL) demonstrate a marginally significant positive relationship with ROE, indicating that effective management of these loans can still yield profitability. Additionally, the Loan to Deposit Ratio (LDR) shows a significant negative impact on ROE, suggesting that higher liquidity risks associated with elevated LDR levels may hinder profitability. The study further confirms that Market Share (MS), Loan Loss Provision (LLP), Cost to Income Ratio (CIR), Effective Tax Rate (ETR), and Net Interest Margin (NIM) significantly influence ROE. These results underscore the importance of effective risk management, operational efficiency, and strategic financial planning in enhancing bank profitability. Recommendations for Cambodian commercial banks include improving risk management practices, focusing on loan portfolio quality, optimizing LDR, implementing cost efficiency measures, and enhancing tax management strategies.

Analysis of factors influencing banks' profitability using panel data models

The banking sector, as one of the fundamental pillars of the financial industry, being in a healthy condition is of paramount importance not only from an individual perspective but also for firms and governmental administrations. Banks support sustainable economic conditions in all economies by facilitating investments and channeling idle funds into the economy. In this study, the analysis of micro and macro-level variables affecting the return on assets and return on equity of 24 banks operating in the Turkish banking sector from 2016 to 2023 has been investigated using panel data models. According to the results obtained from the analysis, it was found that there is a positive and significant relationship between return on assets and capital adequacy ratio, a negative and significant relationship with non-performing loans, a positive and significant relationship with BIST100 (Borsa Istanbul 100 Index), and a negative and significant relationship with bond yields. Additionally, a negative and significant relationship was found between return on equity and non-performing loans, and a positive and significant relationship with the BIST100 index.

The Impact of COVID-19 Pandemic on the Banking Industry and Its Customers

, including customer demand, digital transformation, risk management methods, and overall financial performance. Focusing on shifts in client demand for loans and financial products, the rise of digital banking, and banks' reactions to increased financial risks, this study examines how the pandemic affected conventional banking operations and customer interactions. The goals of the research are to look at how banks changed their services throughout the pandemic, how they dealt with risk, and how well they did financially. The research relies on secondary data analysis that scours academic journals, government documents, business reports, and bank records. Findings highlight a sharp drop in loan demand in the early phases of the epidemic, followed by a dramatic increase in demand for mortgage refinancing and corporate loans supported by the government. Online and mobile banking saw a meteoric rise in popularity as more and more clients made the switch. Lending restrictions and provisions for non-performing loans were tightened by banks in response to financial instability, which had a detrimental impact on their profitability. Better digital banking infrastructure, more robust risk management frameworks, and more adaptable financial products that can react to crises more effectively are some of the long-term consequences that the study emphasizes for the banking sector. At its end, the paper suggests ways financial institutions might be better ready for future disruptions and urges additional investigation into how fintech will play a role and how regulations will alter in the banking industry after a pandemic.

Static and Dynamic Modeling of Non-Performing Loan Determinants in the Eurozone

The issue of non-performing loans (NPLs) in a bank’s portfolio is important for a bank’s stability and sustainability. Their increased presence indicates a potential worsening of the economy and a lower quality of the bank’s assets. We estimated determinants of non-performing loans in the Eurozone for quarterly data 2015–2020. The results confirmed spatial spillover effects within Eurozone countries, which means that when a shock happens in one country in the Eurozone, it will also affect the other economies of the Eurozone area. Based on the Hausman test, a fixed-effects model was chosen as appropriate and showed that bank-specific and macroeconomic determinants significantly affect NPLs in these economies. In relation to previous studies that dealt with this issue, a co-integration analysis was introduced. A significant impact of return on assets, return on equity, and the loan-to-deposit ratio, as well as the gross domestic product, inflation, and exchange rate on NPLs in the short run and long run, was confirmed using a Pooled Mean Group (PMG) estimator. Bank management should customize credit policy based on both internal and external conditions to improve their performance, focusing on enhancing profitability and maintaining a lower loan-to-deposit ratio to reduce NPLs. The research suggests that a higher gross domestic product (GDP) growth rate is associated with fewer NPLs, while inflation uncertainty and a volatile exchange rate can increase NPLs, highlighting the importance of adjusting strategies to the macroeconomic landscape.

Corruption, Economic Growth, and Non-performing Loans in Sub-Saharan Africa: An Empirical Analysis (2011–2019)

AbstractThis study explores the impact of corruption and economic growth on non-performing loans (NPLs) in Sub-Saharan Africa (SSA) after the global financial crisis. We use the Arellano-Bond Generalized Method of Moments dynamic panel estimation procedure on 493 banks from 31 Sub-Saharan African countries from 2011 to 2019. We find that corruption and economic growth have significantly positively and negatively influenced NPLs in SSA, respectively. We further investigate how corruption affects NPLs and observe that bank size and NPLs have a positive relationship. Simultaneously, well-capitalized banks and the effectiveness of the judicial system reduce the level of NPLs. The study's uniqueness lies in evaluating the impact of corruption on NPLs at the sub-regional level. The results reveal how corruption has not significantly affected Central and Southern African banks' NPLs but vice versa in West and Eastern Africa. The study concludes that NPLs are a dead weight loss to society. The results confirm how anti-corruption campaigns, improvements in judicial regulation, and sustained economic growth can help mitigate non-performing loans. Furthermore, policy implications such as enhancing institutional quality and implementing growth-sustaining measures have been suggested.

Determinants of bank deposit in a small economy’s banking sector: a study of Fiji

Purpose Deposits, a liability component of banks’ balance sheet, are an important source of funding for commercial and retail banks. In this study, the authors consider deposits as dependent variable and examine factors (bank-specific, macrofinance and structural) that could plausibly explain deposits. Subsequently, the findings are expected to support analysts, bank managers and regulators, especially in small economies such as Fiji, for asset–liability management. Design/methodology/approach This study uses a balanced panel of six commercial banks and two credit institutions over the period 2000–2022. To control for bank heterogeneity, a fixed-effect regression method is used. Findings Bank-specific variables such as bank size, profitability, loan-to-deposit ratio and bank stability are positively associated with bank deposits, whereas the capital adequacy ratio is negatively associated with bank deposits. Macroeconomic variables such as remittances and gross domestic product per capita are positively associated with bank deposits. Moreover, institutional variables such as control of corruption, political stability and regulatory quality are positively associated with bank deposits. However, tail events such as the global financial crisis of 2007–09 and the COVID-19 pandemic negatively influence bank deposits. Structural breaks for 2007 and 2011 of two banks (Bank of the Baroda and Bank of the South Pacific, respectively) are positively associated with bank deposits. Originality/value Previous studies have considered profitability, competition, nonperforming loans and stability of banks in Fiji. To the best of the authors’ knowledge, this study is the first to consider the determinants of bank deposits, an important source of funds for banks in many small countries including Fiji. In addition, this study examines the impact of structural breaks, tail events such as the recent pandemic (COVID-19) and institutional variables.

THE IMPACT OF GREEN FINANCE ON BANKING PERFORMANCE IN INDONESIA

Green Finance refers to financial practices that can be described through financial services and products that take environmental sustainability to support sustainable development. The role of green finance is to connect financial goals with the environment to encourage inclusive economic growth. One form of green finance implementation is in financial institutions, especially banking. This study aims to analyze the impact of green finance implementation in the banking sector on banking performance as proxied by the profitability ratio in the 2018-2022 period. The Generalized Method of Moments (GMM) dynamic panel is used. The Green Daily Operation (GDO) and Green Finance Policy (GFP) variables indicate the implementation of green finance in banking. Other independent variables use banking performance ratios consisting of the capital adequacy ratio, non-performing loans, and the bank's operational efficiency ratio. The study results show that green finance represented by implementing GFP can increase profitability, while GDO does not significantly affect banks' profitability in Indonesia. Furthermore, the internal banking ratio that is not significant to profitability is the capital adequacy ratio, while increasing non-performing loans and operational efficiency ratio significantly negatively impacts bank performance because it reduces profitability. This research supports applying the green concept in the banking sector to improve sustainable bank performance.

Financial Stability and Innovation: The Role of Non-Performing Loans

This study analyses the relationship between non-performing loans (NPLs) and innovation systems at a global level. The data were obtained from the World Bank and the Global Innovation Index over the period 2013–2022 for 149 countries. The k-means algorithm was used to verify the presence of clusters in the data. Since k-means is an unsupervised machine-learning algorithm, we compared the Silhouette coefficient with the Elbow method to find an optimization. The results show that the optimal number of clusters is three, as suggested using the Elbow Method. Furthermore, a panel data analysis was conducted. Results show that the level of NPLs is positively associated with cultural and creative services exports as a percentage of total trade and innovation input sub-index and negatively associated with the Hirsch Index, ICT services exports as a percentage of total trade, ICT services imports as a percentage of total trade, and information and communication technologies.

Credit Crunch Detection in Indonesia

This research analyzes the credit crunch phenomenon in Indonesia using the Simultaneity method. The data taken is time series data on the demand and supply side of credit. The research results show that the credit crunch phenomenon occurs from the demand and supply sides. The factors of credit demand are Credit Interest Rate (CIR) and Inflation. Meanwhile, from the supply side, namely Credit Interest Rate (CIR), Third Parties Fund (TPF), Net Interest Margin (NIM), and Non-Performing Loans (NPL). The results of research using the Two Stage Least Square approach show that, simultaneously, the variables inflation, CIR, NPL, NIM, TPF have an influence on the demand and supply of credit which triggers a credit crunch during the Covid-19 pandemic.

The Effect of Inflation, Interest Rates and Non-Performing Loans On Stock Returns Through Profitability In Banking Companies Indonesia Period 2018-2022

Even if the Indonesian economy has grown and the stock market has improved after COVID-19, banking stock returns in Indonesia have remained stagnant. The returns on Indonesian banking stocks in 2022 were much lower than in prior years. Identifying the internal and external variables that contributed to the fall in these shares is an obvious challenge. The purpose of this study is to investigate how return on assets (ROA) acts as a mediator between inflation, interest rates, non-performing loans, and stock returns. Thirty businesses make up the sample for this study, which employs testing methodologies including multiple regression and route analysis. Additionally, in order to find the indirect impact, the Sobel test must be used. This study found that stock returns are positively affected by inflation and return on assets, but unaffected by interest rates and non-performing loans. Unlike inflation and interest rates, return on assets can moderate the impact of non-performing loans on stock returns. stock performance. Things that could affect future returns should be carefully considered by investors.

An integrated analysis of key financial metrics driving commercial bank performance in Cambodia

This study aims to systematically identify and analyze key financial metrics that influence the performance of commercial banks in Cambodia. Utilizing 2023 data from the National Bank of Cambodia across 59 banks, the research adopts an explanatory framework based on cross-sectional data analysis. Findings reveal a statistically significant positive correlation between Non-Performing Loans (NPLs) and Return on Assets (ROA), suggesting effective NPL risk management by Cambodian banks, contrary to traditional financial theory. Loan Growth (LG) does not significantly impact ROA, indicating that external factors like market conditions and loan quality are more critical. Furthermore, Market Share (MS) has no significant impact on ROA, suggesting that market share may not be a critical determinant of bank performance in Cambodia. A significant negative relationship is observed between the Loan to Deposit Ratio (LDR) and ROA, suggesting that higher LDRs expose banks to liquidity risks and reduced profitability. Both Loan Loss Provision (LLP) and Cost to Income Ratio (CIR) negatively affect ROA, while the Effective Tax Rate (ETR) shows a marginally positive relationship. The Net Interest Margin (NIM) significantly impacts ROA, underscoring the importance of managing interest-earning assets and liabilities. Recommendations include investing in advanced risk management frameworks, enhancing loan quality, maintaining a balanced LDR, utilizing technology for cost efficiency, focusing on effective tax planning, and optimizing NIM through competitive pricing. Future research should explore additional contextual factors that affect profitability dynamics in the Cambodian banking sector.. Keywords: Commercial Banks, Financial Metrics, Return on Assets (ROA), Non-Performing Loans (NPLs), Loan to Deposit Ratio (LDR), Cost to Income Ratio (CIR), Effective Tax Rate (ETR), Net Interest Margin (NIM), Loan Growth (LG), Market Share (MS).

The VECM implementation for measuring the impact of monetary variables on Indonesia Property Prices Index

The basic human need for housing makes property investment safer than other sectors because demand tends to be stable despite changing economic conditions. The decision to invest is influenced by various aspects, including economic variables, including GDP, property credit growth, non-performing loans (NPLs), interest rates, exchange rates, and money supply, which are then examined for their influence on the Residential Property Price Index (RPPI) in Indonesia through this research using a Vector Error Correction Model (VECM) with quarterly data from 2003 to 2022. The findings show that GDP, interest rates, and money supply have a significant long-term impact on the RPPI. In the short-term, GDP and property credit growth have a negative impact on RPPI, while NPL and exchange rate do not. Causality tests indicate a bidirectional relationship between NPL and GDP with RPPI, with probability values exceeding 0.05. This study provides valuable insights into the monetary factors affecting residential property prices and suggestions for future research. AcknowledgmentThe authors gratefully acknowledge Ahmad Dahlan University for the support and facilities provided in conducting this research. They also greatly appreciate the academic resources that supported the data collection process and careful analysis of our findings. Besides, the authors express their gratitude to Bank Indonesia and Badan Pusat Statistik for their invaluable contribution to the data used in this research.

LEVERAGING MANAGEMENT INFORMATION SYSTEMS FOR ENHANCING CREDIT RISK ASSESSMENT IN COMMERCIAL BANKS

This study explores the significant impact of Management Information Systems (MIS) on credit risk assessment in commercial banks, examining how these systems enhance decision-making accuracy, operational efficiency, and proactive risk management. By synthesizing findings from 50 peer-reviewed studies, the research reveals that banks using MIS experience a 20-30% reduction in non-performing loans and a 40-50% increase in loan processing speed due to automation and real-time data analysis. The integration of advanced technologies such as artificial intelligence (AI) and predictive analytics further improves credit risk forecasting accuracy by 15-20%, enabling banks to implement proactive risk mitigation strategies that reduce borrower defaults by up to 25%. However, the study also highlights significant challenges, particularly for smaller banks, which face high implementation costs and difficulties integrating MIS with legacy systems. Despite these challenges, the role of MIS in ensuring regulatory compliance, particularly under Basel III, and reducing overall credit exposure by 15-20% underscores its critical importance in modern credit risk management. The findings suggest that while MIS is essential for maintaining financial stability and competitiveness, scalable and cost-effective solutions are necessary for broader adoption across the banking industry.