Bank-specific Factors Affecting Non-performing Loans in Developing Countries: Case Study of Indonesia (original) (raw)

Determinants of non-performing loans in Regional Development Banks (BPD) in Indonesia

International Journal of Research in Business and Social Science (2147- 4478)

The country's macroeconomic conditions, whether directly and indirectly will influence the development of the financial and banking sector. This study aims to determine the effect of macroeconomic and internal company variables consisting of BOPO, ROA, money supply, and the unemployment rate on non-performing loans (NPL) in Indonesian banking, especially Regional Development Banks (BPD). The sampling technique used is purposive sampling technique. There are 20 Regional Development Banks (BPD) that met the requirements determined by the observation period from 2008-2021. The data processing method used is panel data regression. Model selection uses the Chow test, Hausman test and Langgrange Multiplier test (LM Test). Based on this, the appropriate model is the Fixed Effect Model (FEM). Testing the classical assumptions of FEM shows that there is a heteroscedasticity problem, then it is recovered using the Feasible Generalized Least Square (FGLS). The results of the analysis show ...

Factors Affecting Non-Performing Loans of Conventional Banking: Evidence in Indonesia Stock Exchange

Jurnal Syntax Transformation, 2022

Majority banks in Indonesia still use loans as the main income to finance their operations. The effects of the NPL will result in dividend payments, high-interest rates and low investment rates resulting in the lower economic development of the country. Based on this, this study was conducted to find out the factors that affect the risk of problematic credit. In this study, the authors used quantitative methods. The independent variables in the study were Return on Assets (ROA), Income Diversification, Bank Capital and Bank Efficiency while the dependent variables were Non-Performing Loans (NPL). The study collected data from 35 banking companies listed on the Indonesia Stock Exchange over 5 years (2016-2020) and used the panel's data regression model for its testing. Findings from this study suggest that Return on Assets (ROA), Bank Capital and Bank Efficiency have a significant negative effect on Non-Performing Loans (NPLs). Income Diversification has no significant effect on ...

Determinants Of Non-Performing Loans In Indonesia

Media Trend

Non-performing loans (NPLs) are a typical sign of stress testing from financial institutions and may be used to measure the financial system's health. The critical criterion for achieving financial system stability is macroeconomic stability. Instability in the financial system (financial crisis) impairs a bank's liquidity and might lead to more problematic loans, impacting other industries. The association between NPL and numerous macroeconomic variables, including Interest Rate Spreads, Inflation, Percentage of Open Disruption, and Amount of Foreign Exchange Reserves in Indonesia, is examined in this paper. The study used the Vector Error Correction Model (VECM) method to estimate data for a sample period of 2000 to 2020. In the long run, inflation factors, the number of open jobless, and the number of foreign exchange reserves all substantially impacted the ratio of non-performing loans, according to the findings. However, no variables influenced the percentage of non-per...

Modelling Non-performing Loans (NPL) for Small Banks in Indonesia: Are Macroeconomic Matter?

International journal of economics, business and management research, 2023

This study aims to analyze the effect of macroeconomic and internal bank variables on NPL (Non-Performing Loans) in Non-Foreign Exchange Private Banks. This study uses secondary data obtained through the official FSA covering 18 small Banks in Indonesia. We apply annual data from 2016 to 2021 and use multiple linear regression techniques. The main factors that influence NPL are internal bank or company management factors, while external factors (macro variables) do not affect NPL in this study, namely, factors caused by economic conditions such as inflation and interest rates.In general, the results show that macro economic variables hasno significant effect on NPL. However, internal bank data such as Bank Size and CAR have a significant negative effect on NP. LDR has no significant positive effect on NPL and efficiency (BOPO) has a significant positive effect against NPL.

Determinants of Non-Performing Loans and Non-Performing Financing level: Evidence in Indonesia 2008-2021

Banks and Bank Systems

Banking stability plays an important role as an intermediary in the economy. Both the economy and the banking sector affect each other. This study aims to investigate the effect and response of external variables and internal bank variables on Non-Performing Loans at Conventional Commercial Banks and Non-Performing Financing at Islamic Commercial Banks. This study uses macroeconomic variables such as economic growth and inflation, while a bank’s internal variables include the Loan to Deposit Ratio, Financing to Deposit Ratio, and Capital Buffer. This study employs Vector Autoregressive Regression (VAR) to examine the time series data. The results showed that the variable Economic Growth at lag-1, Loan to Deposit Ratio at lag-1, and Capital Buffer at lag-2 significantly affect Non-Performing Loans. While the variable that has a significant effect on Non-Performing Financing is only Economic Growth at lag-1. In addition, as can be seen from the Impulse Response Function curve, Non-Per...

How Do Bank-Specific Factors Impact Non-Performing Loans: Evidence from G20 Countries

Journal of Central Banking Theory and Practice

Banking is important for the stability and success of the economy. The success of the banking system on financial intermediation in developing countries is directly affected by non-performing loans (NPLs). Many factors can be treated as NPL determinants. Accordingly, the factors that explain NPLs contain very important information for banks. To this end, the study is an attempt to examine various banking factors that affect NPLs with respect to developing economies. In this study, the bank-specific and macroeconomic factors affecting the NPL rates were analysed through the dynamic panel data analysis. Analyses were made using described G20 countries between 1998 and 2017. The results indicate that the lagged value of NPLs, return on equity, credit growth and credit costs have a significant positive relationship with NPLs, while capital adequacy and GDP have a negative association with NPLs. The results confirm that if the bank-specific conditions change, the credit quality and bank ...

Macroeconomic and Firm-specific Factors Influencing Non-Performing Loans in Bangladesh: A Panel Data Regression Approach

2021

A prerequisite of a sound financial system is effective channeling of financial resources to efficient users; hence maximizing economic and societal welfare. To that end, the prevalence of bad loans in banks in emerging economies is a major policy concern. In an attempt to add to the growing body of literature explaining the interrelationship between macroeconomic and firm-specific factors, and non-performing loans (NPL), this paper examines data from 24 scheduled commercial banks in Bangladesh from 2008 to 2019. Macroeconomic factors as well as firm-specific factors related to profitability, capital strength, and efficiency are considered. Panel data regression analysis is performed to estimate pooled OLS, fixed effects, and random effects models. Following the necessary testing, it was found that the fixed effects model with robust standard error is appropriate. Results show that return on assets and inflation have a negative influence on NPL, but GDP growth has a favorable impact...

Non Performing Loans on Regional Development Bank in Indonesia and Factors that Influence

Mediterranean Journal of Social Sciences, 2015

This study aims to analyze the non-performing loan (NPL) in the Regional Development Bank (BPD) in Indonesia and determine the factors that can influence it. This study uses a quantitative approach. The data used in the form of panel data from the financial statements of Regional Development Bank in Indonesia as many as 26 banks 2009-2013. Factors examined its effect on the NPL is a measure of a bank (SIZE), the capital adequacy ratio (CAR), the level of bank efficiency (BOPO), the loan interest rate (LIR), and liquidity (LDR). Estimation model used is the Random Effects Model (REM) with the analytical technique used is multiple regression. The results showed that the NPL BPD 2:14% average is still within the tolerance limits set by Bank Indonesia. Variables that significantly affect the NPL is the level of efficiency of banks, mortgage interest rate and liquidity of banks. While the variable size of the bank and Modak adequacy ratio has no significant effect on the level of NPL.

Determinants of Non-Performing Loans in Asia: Is Southeast Asia Different?

International Journal of Business and Society

In this paper, we explore the determinants of non-performing loans (NPLs) in Asia using a panel data set across 9 countries covering the Middle East, Southeast Asia (SEA) and South Asia countries over a period of 2000 to 2014, and test whether those determinants affect the Southeast Asia differently. The two-step System GMM results indicate that the GDP growth and liquid assets to total assets significantly affect NPLs in a negative manner, while the Southeast Asia is no different from the other regions despite their successful management in NPLs during 2008 crisis. It suggests that other regions may adopt the successful strategies implemented by the SEA countries. Apart from the above, the regulatory variables show mixed results with supervisory power significantly and positively affect the NPLs while the capital stringency requirement is insignificant, contrary to the theoretical expectations. The results are robust to model specification.

Non-performing loans (NPLs) and non-performance: evidence from South Asian banks

International journal of research in business and social science, 2024

This paper examines the consequences of banks' performance on bank risk. The paper forms a theoretical model and delivers empirical evidence to identify that banks suffer in performance as the loans become bad. Using panel data from a sample of five (05) South-Asian emerging economies from 2011 to 2019, we have found that the banks are highly influenced by the development of non-performing loans (NPLs). We have primarily used Return on Asset (ROA) followed by Return on Equity (ROE) as a substitution to the performance of the banks and NPL as the proxy of bank risk. Simultaneous regression applying 3sls finds that Non-Performing Loan (NPL) hinders banks' growth, negatively affecting their profitability.