The Effect of Third-Party Funds, Capital Adequacy Ratio, Casa Ratio, Bi Rate, And Inflation Towards The Distribution of Credit Banking in Indonesia (original) (raw)

The Effects of Third Party Funds, Interest Rates, Bank Capital, and Non-Performing Loan towards Credit Distribution on Commercial Banks in Indonesia period 2012 -2018

International Journal of Advance Study and Research Work, 2020

This research aims to examine the effect of Third Party Funds (TPF), Interest Rates (IR), Bank Capital, and Non-Performing Loan (NPL) towards Credit Distribution on commercial banks in Indonesia with period 2012-2018. This research using 84 monthly data of commercial banks in Indonesia period 2012-2018. This research uses the Error Correction Model (ECM) analysis and E-views 10 analysis tools. The result of the research shows that in the long term, Third Party Funds, Interest Rates, Bank Capital, and Non-Performing Loan affects Credit Distribution. In the short term, Third Party Funds and Non-Performing Loan affect Credit Distribution. Meanwhile, Bank Capital and Interest Rates have no effect on Credit Distribution on commercial banks in Indonesia. Simultaneously on the long term and short term all variables (Third Party Funds, Interest Rates, Bank Capital, and Non-Performing Loan) have an effect on Credit Distribution on conventional commercial banks in Indonesia period 2012-2018.

Analisis Faktor-Faktor Yang Mempengaruhi Penyaluran Kredit Perbankan Pada Bank Umum DI Bursa Efek Indonesia

Jurnal Fokus Manajemen Bisnis, 2014

This research is aimed to obtain empirical evidence on the factors affecting the distribution of bank credit. There are many factors affecting the distribution of bank credit. However, this research was only limited by dominant factors affecting the distribution of bank credit obtained from bank credit theories and the results from previous research studies. Therefore, factors which were the selected independent variables in this research were Third Party Funds (DPK), Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Return On Assets (ROA), and Loan to Deposit Ratio (LDR). While the dependent variables were the distribution of bank credit which was proxied by Loan to Asset Ratio (LAR) variable. The results of the research indicates that simultaneously, the variables of DPK, CAR, NPL, ROA, dan LDR significantly affect the distribution of bank credit in the period 2010-2012. While partially, a result was obtained that DPK, NPL, and LDR variables significantly affect the distri...

The Effects Of Non-Performing Loan, Capital Adequacy Ratio, And Third Party Funds On The Credit Distribution Of Commercial Banks Listed In The Indonesia

European Journal of Business and Innovation Research

This research aims to determine the effect of non-performing loans, capital adequacy ratios and third party funds on loan credit distribution. The objects of the research are non-performing loans, capital adequacy ratios, third party funds, and credit distribution. The subjects of the research are the financial Services sub-sector companies (banks) that are listedin the Indonesia Stock Exchange (BEI) inthe periods of 2015-2017. The research uses secondary data with quantitative verification method. The samples of the research are 7 companies (111 observations). The hypothesis Tests are carried out by the method of multiple linear regression analysis. The results shows that simultaneously and partially, non-performing loans , capital adequacy ratios , and thirdparty funds have effects on credit distribution. Banking companies can reduce nonperforming loans, also maintain or increase capital they own so that the operational activities in credit distribution can be optimally carried out. Further research is recommended to use more populations as well as longer periods in order to provide better results.

Causality of Credit Distribution in Indonesian Banking

Atestasi : Jurnal Ilmiah Akuntansi

This study aims to examine the effect of third-party funds, Capital Adequacy Ratio (CAR), return on assets (ROA), Operating Expenses on Operating Income (BOPO), and NPL (Non-Performing Loans) on Credit Distribution to commercial banks listed on the Stock Exchange. Indonesian Securities for the period 2018-2021. The type of research used in this research is associative research. Associative research is research to know the relationship between two or more variables. Thus, Dabat builds a theory that functions to predict and control a phenomenon. The researcher explains whether TPF, CAR, ROA, BOPO, NPL, and Credit Distribution in this study. The population of this study is the banking sector companies listed on the Indonesia Stock Exchange, as many as 42 banks. The sample selection method used is purposive sampling. So the total sampled is 120 samples. The data were analyzed using multiple linear regression analysis with the Ordinary Least Square model using the Eviews Version 12 softw...

The effect of systematic and unsystematic determinants on loan (financing) to deposit ratio in Indonesian banking

Annals of Management and Organization Research, 2023

This study compares the determinants of liquidity of Islamic Banks (IBs) and Conventional Banks (CBs) based on the loan-to-deposit ratio (LDR) and financing-to-deposit ratio (FDR) between 2016 and 2020. Research Methodology: The data analysis technique used was panel data regression. Results: The results show Economic growth has a positive effect on banking liquidity risk, while non-performing loans (financing) have a negative effect on banking liquidity risk. Limitations: The frame time in this research was 2016-2020 which, before Bank Syariah Mandiri, Bank Rakyat Indonesia (BRI) Syariah, and Bank Negara Indonesia (BNI) Syariah merged into Bank Syariah Indonesia. Contribution: This study can be used as a reference for preparing or perfecting regulations that can be bolder in expanding credit (financing). Commercial banks are expected to be able to manage liquidity so that the liquidity ratio is not less than or exceeds the tolerance limit, especially for CBs, and are used as evaluation material for the performance of IBs, especially CBs. Novelty: Several previous studies conducted separate analyses of the determinants of LDR and FDR in one type of commercial bank and showed contradictory results. This research did not conduct separate analyses in one type of bank but combined the determinants so that they could cause liquidity risk by measuring LDR on BUK and FDR on BUS to discuss these conflicting findings.

The Effect of BI Rate, Exchange Rate, Inflation and Third Party Fund (DPK) on Credit Distribution and Its Impact on Non Performing Loan (NPL) on XYZ Commercial Segment Bank

Universal Journal of Accounting and Finance, 2020

Along with the level of development of the times, the development of the business world in Indonesia has entered the era of globalization which has resulted in the opening of markets in Indonesia to compete with foreign competitors through trade. Based on the financial ratios and policies of banks that want to review the health of their banks, the measures that must be considered are Macroeconomics, namely the exchange rate, inflation, Central Bank of Indonesia (BI) rate, lending, namely the size of the value of the credit channeled, Collectability is the size of Non-Performing Loans (NPL) and Fund Raising. The Purpose of This Research is to Influence BI Rate, Exchange Rates, Inflation and Third Party Funds (DPK) On Credit Distribution and the Impact on Non-Performing Loans (NPL) At Bank XYZ Commercial Segment. The research method used is a method with a quantitative research approach, while the type of research is descriptive and verification research. To test the research hypothesis, the Path Analysis method is used. Partially the BI rate and Third Party Funds (DPK) have a significant effect on lending, while the exchange rate and inflation have insignificant effects on lending at the commercial segment Bank of XYZ. In addition, the exchange rate and DPK have a significant influence on NPL, while the BI rate, inflation and lending have not significant influence on NPL in the commercial segment Bank of XYZ.

The Model of Financial Banking in Indonesia

TEST Engineering & Management, 2020

The purpose of this study is to explain in terms of effect the loan to deposit ratio (LDR), Non-Performing Loan (NPL), and Operating Expenses Against Operating Income (BOPO) on Earnings Banking proxies by Return on Assets (ROA). Non-Performing Loan (NPL), and Operating Expenses Against Operating Income (BOPO) on Earnings Banking proxies by Return on Assets (ROA). .Data used in this study taken from the annual financial report of any commercial banks 2015-2019. Sample website taken from 10 total commercial banks with assets above 372.5 trillion in the period he used the technique 2015-2019. Analysis of model with random approach. The results showed the CAR variable have positive and significant impact on ROA, LDR variable have positive effect and no significant on ROA, NPL variable and BOPO variable have negative effect and significant on ROA. The predictive capacity of five independent variables on ROA amounted to 71.50% which indicated by R2, and the last of 28.50% is explained by other variables outside the research model.

Determinants of Internal and External Factor on Commercial Bank in Indonesia

Researchers World : Journal of Arts, Science and Commerce, 2017

This study aims to examine the influence of the internal and external factor (inflation, Product domestic bruto, the size, and the Non Performing Loan) on financial performance for 3 years during the period 2012-2014.This study uses secondary data which includes 24 companies listed in Indonesia Stock Exchange in 2012 to 2014 by using purposive sampling. Data were analyzed using multiple linear regressions to test the effect of independent variables on the dependent variable.The results showed that not all of the variables had significant effect. Inflation and PDB have a no significant effect. Sizes have a positive effect and significant on financial performance. NPL have a negative effect and significant on financial performance. Recomendation for bank should pay attention on their lending because NPL affects financial performance. For general society, the size and NPL should be paid attention for the funds kept safe. For further research, independent variables can be added and use different proxy

Credit Performance in Banking in Indonesia During 2019-2020

Jurnal MEBIS (Manajemen dan Bisnis)

In 2020, the Covid-19 pandemic occurred which affected all sectors of the economy. One of them is the banking industry. This study aims to see how the performance of bank credit in Indonesia was before the pandemic and in the early years of the pandemic. This study uses the variables capital adequacy ratio (CAR), operating costs to operating income (BOPO), return on assets (ROA), and loan to deposits ratio (LDR) in measuring non-performing loans (NPL) or non-performing financing ( NPF). This study uses monthly data from conventional and Islamic banking financial reports for 2019 and 2020. Data testing uses the classical assumption test and multiple linear regression tests. The results of testing the classical assumptions state that the data is feasible for regression testing. Furthermore, the results of the study found that all variables namely CAR, LDR, ROA and BOPO simultaneously affected the NPL or NPF variable. Meanwhile, partially, it was found that CAR and LDR were proven to b...

Prestasi dan factor-faktor yang mempengaruhi bank-bank di Indonesia sebelum dan selepas krisis kewangan

2015

The purpose of this study is to examine whether performance of Indonesian banks is affected by ownership structures, status of banks, total equity, financial crisis, economic growth and financial ratios. Banks performance is measured by cost efficiency and profitability (Data Envelopment Analysis and Profitability (Return on Assets and Return on Equity). The sample consists of 74 banks namely 56 private banks, 15 BPDs, and three federal banks from 1995 to 2006. The data was analyzed using four methods, namely, ordinary least-squares, general least squares, random effects and tobit regression. Additional analyses were conducted in which extreme data values were adjusted either by using 0.5 percent truncating approach or three standard deviations truncating approach. Data analysis was done for all data from 1995 to 2006. To see the impact of the financial crisis, the data is divided into during and outside crisis periods. The findings from DEA analysis show that government banks are m...