The influence of non-interest income towards credit risk and loan spread in ASEAN-5

2020 ◽  
pp. 239-242
Author(s):  
N.D. Novianti ◽  
R. Rokhim
Keyword(s):  
Credit Risk ◽  
Loan Spread ◽  
Interest Income

scholarly journals THE EFFECTS OF MACROECONOMIC CONDITIONS ON LOAN PORTFOLIO CREDIT RISK AND BANKING SYSTEM INTEREST INCOME

Ekonomika ◽  
2012 ◽  
Vol 91 (3) ◽  
pp. 85-100 ◽  
Author(s):  
Ričardas Mileris
Keyword(s):  
Credit Risk ◽  
Banking System ◽  
Classification And Regression Tree ◽  
Economic Environment ◽  
Statistical Dependence ◽  
Tree Model ◽  
Loan Portfolio ◽  
Portfolio Credit Risk ◽  
Macroeconomic Conditions ◽  
Interest Income

This article presents on analysis of macroeconomic conditions in the EU countries in relation loan portfolio to credit risk and banking system interest income. The changing economic environment of banks influences their risks and activity results, so it is important to find the macroeconomic indicators that can determine the changes in debtors’ credit risk and banks’ financial condition. The banking system performs very important functions in a country’s financial system, so for its stability it is important to be able to predict the financial results of the banking system in relation to changes in the economic environment. The new Basel III Agreement seeks to improve the financial sector’s resistance to the possible negative scenarios in the economy and motivates to develop the credit risk assessment models considering their dependence on business cycles. For this reason, the statistical dependence between the set of macroeconomic factors and the loan portfolio credit risk together with interest income were estimated in this research. A statistical classification and regression tree model was developed, which allows to predict the possible changes in the interest income of a country’s banks with the 82.7% accuracy.

scholarly journals Determinants of Credit Risk: Evidence From Commercial Banks in Malaysia

2021 ◽  
Vol 16 (1) ◽  
pp. 134-143
Author(s):  
Noor Hafizha Muhamad Yusuf ◽  
Mohamad Shukery Mohamad Shamsudin ◽  
Wan Mohd Yaseer Mohd Abdoh ◽  
Noor Sharida Badri Shah ◽  
Rozihanim Shekh Zain
Keyword(s):  
Credit Risk ◽  
Significant Relationship ◽  
Commercial Banks ◽  
Fe Model ◽  
Panel Regression ◽  
Return On Equity ◽  
Factors Affecting ◽  
Independent Variables ◽  
Interest Income ◽  
The Relationship

The purpose of this study is to determine the relationship between microeconomic factors with credit risk among selected commercial banks in Malaysia. For this purpose, a sample of seven out of 27 commercial banks in Malaysia was selected and the microeconomic factors affecting credit risk with six measurements of return on asset (ROA), bank size, leverage, the ratio of capital, interest income and return on equity (ROE) were examined by applying Panel Regression Fixed Effect (FE) Model for a period 20 years from 1998 to 2017. The scope of the study covers seven selected commercial banks in Malaysia namely: Affin Bank Berhad, Alliance Bank Malaysia Berhad, CIMB Bank Berhad, Hong Leong Bank Berhad, Malayan Banking Berhad, Public Bank Berhad and RHB Bank Berhad. This study is using credit risk proxy by non-performing loan for dependent variable while independent variables that have been selected were returned on asset (ROA), bank size, leverage, the ratio of capital, interest income and return on equity (ROE). The findings of the study managed to reject the null hypothesis for return on asset, bank size, leverage, interest income and return on equity which indicates the five microeconomic variables give a significant relationship with credit risk. There are positive relationships between leverage, interest income and return on equity with credit risk while return on asset, bank size and ratio of capital are negatively related to credit risk. However, the study fails to find any significant relationship between the ratio of capital and credit risk for commercial banks in Malaysia.

scholarly journals PENGARUH RESIKO KREDIT, KECUKUPAN MODAL, HUTANG, DAN PENDAPATAN BUNGA TERHADAP PROFITABILITAS PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

2019 ◽  
pp. 197-211
Author(s):  
Boniara Sinabang ◽  
Sabeth Sembiring
Keyword(s):  
Credit Risk ◽  
Interest Rates ◽  
Stock Exchange ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Test Results ◽  
Risk Capital ◽  
Significance Level ◽  
Simultaneous Test ◽  
Interest Income

This study aims to examine the effect of credit risk as measured by non-performing loans, the level of capital adequacy as measured by the capital adequacy ratio, debt as measured by debt to equity ratio, and interest income as measured by net interst margin on the level of profitability as measured by return on assets in banking companies listed on the Indonesia Stock Exchange (IDX). This research is classified as causative research. The population in this study were all banking companies listed on the Indonesia Stock Exchange in 2011 to 2015. While the sample of this study was determined by purposive sampling method so that 24 sample companies were obtained. The type of data used was secondary data obtained from www.idx.co.id. The analytical method used is multiple regression analysis with a significance level of 5%. The partial test results show that credit and debt risk have a negative and significant effect on profitability, capital adequacy has no effect on profitability, interest income has a positive and significant effect on profitability. Simultaneous test results show that credit risk, capital adequacy, debt, and interest income affect profitability. Therefore, banks consider the factors of credit risk, capital adequacy, debt and interest income in the context of achieving the expected profit level by taking into account the quality of credit distribution, cultivate capital well and use capital effectively, debt that is made into productive assets is well managed, as well as maintaining loan interest rates offered so as to generate high capital.

scholarly journals Pengaruh Suku Bunga Kredit dan Risiko Kredit terhadap Return On Asset dengan Pendapatan Bunga sebagai Variabel Intervening

2021 ◽  
Vol 10 (2) ◽  
pp. 147-160
Author(s):  
Sely Megawati Wahyudi ◽  
Nona Lice Pota Buga
Keyword(s):  
Credit Risk ◽  
Interest Rates ◽  
Stock Exchange ◽  
Secondary Data ◽  
Return On Assets ◽  
Interest Income ◽  
Negative Effect ◽  
Lending Rates ◽  
Indirect Relationship ◽  
Positive Effect

This study was conducted to examine the effect of lending rates, net performance loans, interest income on return on asset (ROA). The population in this study is a finance company listed on the Stock Exchange in 2015-2019. The sample was determined by a porposive sampling method – 65 samples. The data used are secondary data obtained from the IDX gallery.  The hypothesis in this study was tested using path analysis to determine the direct and indirect effects of the independent variables used on the dependent variable. The results of this study indicate that partially lending rates have a significant influence on interest income, while credit risk which is proxied by Net Performance Loan (NPL) has no significant effect on Interest Income. Credit Interest Rates do not have an effect on Return On Assets (ROA), while Credit Risk which is proxied by Net Performance Loan (NPL) has a significant negative effect on Return On Assets (ROA) and Interest Income has a significant positive effect on Return On Asset (ROA). The indirect relationship between lending rates and credit risk with Return On Assets (ROA) by using interest income as an intervening get significant results.

scholarly journals PENGARUH RESIKO KREDIT, KECUKUPAN MODAL, HUTANG, DAN PENDAPATAN BUNGA TERHADAP PROFITABILITAS PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA

2020 ◽  
pp. 51-65
Author(s):  
Boniara Sinabang ◽  
Sabeth Sembiring
Keyword(s):  
Credit Risk ◽  
Interest Rates ◽  
Stock Exchange ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Test Results ◽  
Risk Capital ◽  
Significance Level ◽  
Simultaneous Test ◽  
Interest Income

This study aims to examine the effect of credit risk as measured by non-performing loans, the level of capital adequacy as measured by a capital adequacy ratio, debt as measured by debt to equity ratio, and interest income as measured by net interst margins on the level of profitability as measured by returns on assets in banking companies listed on the Indonesia Stock Exchange (IDX). This research is classified as causative research. The population in this study were all banking companies listed on the Indonesia Stock Exchange in 2011 to 2015. While the sample of this study was determined by purposive sampling method so that 24 sample companies were obtained. The type of data used was secondary data obtained from www.idx.co.id. The analytical method used is multiple regression analysis with a significance level of 5%. The partial test results show that credit and debt risk have a negative and significant effect on profitability, capital adequacy has no effect on profitability, interest income has a positive and significant effect on profitability. Simultaneous test results show that credit risk, capital adequacy, debt, and interest income affect profitability. Therefore, banks consider the factors of credit risk, capital adequacy, debt and interest income in the context of achieving the expected level of profit by paying attention to the quality of credit distribution, cultivate capital well and use capital effectively, debt that is made into productive assets is well managed, as well as maintaining loan interest rates offered so as to generate high capital.

Validation of an integrity-based selection measure for credit risk potential

2009 ◽  
Author(s):  
Kelly D. Dages ◽  
John W. Jones ◽  
Bailey Klinger
Keyword(s):  
Credit Risk ◽  
Risk Potential

Hidden “holes” in the capital of banks and the supply of credit to the real sector of economy

2018 ◽  
pp. 49-68 ◽  
Author(s):  
M. E. Mamonov
Keyword(s):  
Credit Risk ◽  
The Other ◽  
Real Sector ◽  
Capital Management ◽  
Loan Loss ◽  
Short Term ◽  
The Real ◽  
Ex Post ◽  
The One

Our analysis documents that the existence of hidden “holes” in the capital of not yet failed banks - while creating intertemporal pressure on the actual level of capital - leads to changing of maturity of loans supplied rather than to contracting of their volume. Long-term loans decrease, whereas short-term loans rise - and, what is most remarkably, by approximately the same amounts. Standardly, the higher the maturity of loans the higher the credit risk and, thus, the more loan loss reserves (LLP) banks are forced to create, increasing the pressure on capital. Banks that already hide “holes” in the capital, but have not yet faced with license withdrawal, must possess strong incentives to shorten the maturity of supplied loans. On the one hand, it raises the turnovers of LLP and facilitates the flexibility of capital management; on the other hand, it allows increasing the speed of shifting of attracted deposits to loans to related parties in domestic or foreign jurisdictions. This enlarges the potential size of ex post revealed “hole” in the capital and, therefore, allows us to assume that not every loan might be viewed as a good for the economy: excessive short-term and insufficient long-term loans can produce the source for future losses.

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