scholarly journals Determinan Suku Bunga dan Likuiditas Bank Terhadap Pertumbuhan Kredit di Indonesia

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 200
Author(s):  
Yeniwati Yeniwati

This study aims to determine the effect of the interest rate (BI rate) on bank credit growth in Indonesia, liquidity on bank credit growth in Indonesia and determine the effect of interest rates and liquidity on bank credit growth in Indonesia. The method used in this study is Ordinary Least Square (OLS) using secondary data from 2009 Quarter I to 2018 Quarter IV. The results of the analysis showed that there was an influence between interest rates on bank credit growth in Indonesia, there was an influence between liquidity on bank credit growth in Indonesia. Together there is an influence between interest rates and bank liquidity on the growth of bank credit in Indonesia. The policy implication of this research is that Bank Indonesia must maintain the benchmark interest rate set in order to trigger an increase in bank credit growth. In addition, Bank Indonesia must monitor the liquidity of commercial banks in Indonesia so that the trust of the banking community is even greaterKeywords : interest rate, Liquidity, Credit

2018 ◽  
Vol 22 (2) ◽  
pp. 91-98
Author(s):  
Rendy Dwi Putra

The Purpose of his research is to analyze the influencethe Non-Performing Loan (NPL) in the tenth small private bank by capital in Indonesia in 2009-2015. As some of the factors analyzed in influenceof Non-Performing Loan (NPL): Gross Domestic Product (GDP), Inflation(INF), and Interest Rate of Credit Investment (IRCI). The sample in this study is fifthbank of BUKU 1 that is Mandiri Taspen Pos Bank, Jasa Jakarta Bank, Capital Bank, Index Selindo Bank, and CCB Indonesian Bank, while fifthbank of BUKU 2 that is Mestika Bank, KEB Hana Indonesian Bank, Mayapada Bank, MNC International Bank, and Sinarmas Bank. The data used is the annual data released by the bank and Secondary data were obtained directly from the World Bank and Bank Indonesia. This research was conducted with quantitative approach and analyzed using Ordinary Least Square (OLS). The result of this research show that the Gross Domestic Product (GDP) had a negative and not significantimpact on the Non-Performing Loan (NPL); the Inflation(INF) had a negative and significantimpact on the Non-Performing Loan (NPL); and the Interest Rate of Credit Investment (IRCI) had a positive and not significant impact on the Non-Performing Loan (NPL)


2016 ◽  
Vol 21 (1) ◽  
pp. 1-7
Author(s):  
Risna Risna

This study aims to determine the effect of government spending, the money supply, the interest rate of Bank Indonesia against inflation.This study uses secondary data. Secondary data were obtained directly from the Central Bureau of Statistics and Bank Indonesia. It can be said that there are factors affecting inflationas government spending, money supply, and interest rates BI. The reseach uses a quantitative approach to methods of e-views in the data. The results of analysis of three variables show that state spending significantand positive impact on inflationin Indonesia, the money supply significantand negative to inflationin Indonesia, BI rate a significantand positive impact on inflation in Indonesia


2015 ◽  
Vol 2 (2) ◽  
pp. 10
Author(s):  
Ali Saleh Alshebami ◽  
D. M. Khandare

<p>Imposing ceilings on the interest rate has recently become one of the new hottest topics in microfinance industry; various debates have been discussing this issue to know the effect of interest rate ceilings on the supply of credit in particular and on microfinance industry in general. However in spite of the good intention behind these ceilings, there was no absolute result stating that ceilings have really contributed to the improvement or protection of the poor clients, indeed, these ceilings have hurt those low income people instead of helping them, due to these ceilings most of MFIs left the market or reduced their scale due to the inability to continue operating with low interest rate leaving the very poor clients without access to credit. Thus, the purpose of this paper is to review the impact of imposing such ceilings on the interest rates and to find out what alterative solutions can be employed as substitutes for them. This paper is entirely based on the secondary data collected from various records related to microfinance such as microfinance books, official websites and reports, published papers, and other sources related to the research subject.</p>


2020 ◽  
Vol 4 (1) ◽  
pp. 164
Author(s):  
Muhammad Dzulfaqori Jatnika

Tujuan penelitian ini  adalah menganalisis pengaruh faktor makroekonomi yaitu nilai tukar, inflasi, suku bunga, dan GDP per kapita terhadap dana pihak ketiga di bank umum Syariah. Penelitian ini merupakan penelitian kuantitatif dengan data sekunder yang berupa data panel. Teknik analisis yang digunakan adalah metode analisis linier berganda Ordinary Least Square (OLS). Hasil uji Hausman menunjukan model yang tepat dalam penelitian ini adalah random effect model. Semua variabel signifikan, variabel inflasi dan nilai tukar memiliki pengaruh positif sedangkan variabel suku bunga dan GDP per kapita memiliki pengaruh yang negatif terhadap dana pihak ketiga di bank umum Syariah. Hasil penelitian ini memiliki implikasi bagi para pelaku usaha perbankan untuk menentukan waktu yang tepat dalam menarik dan menyalurkan dana pihak ketiga dari masyarakat. Dan dapat menjadi acuan untuk mengeluarkan kebijakan terkait bisnisnya. Dan bagi peneliti selanjutnya dapat menjadi acuan untuk mengembangkan kembali penelitian berikutnya. Pada penelitian selanjutnya diharapkan dapat menambah variabel-variabel terkait lainnya selain variabel yang telah diteliti dalam penelitian ini. Kebaruan dalam penelitian ini adalah tambahan variabel yang mempengaruhi dana pihak ketiga dan juga tambahan sampel bank umum Syariah sehingga diharapkan penelitian ini lebih mendalam daripada penelitian sebelumnya.  The purpose of this study is to analyze the influence of macroeconomic factors, namely the exchange rate, inflation, interest rates, and GDP per capita on third party funds in Islamic commercial banks. This research is a quantitative study with secondary data in the form of panel data. The analysis technique used is the Ordinary Least Square (OLS) multiple linear analysis method. The Hausman test results showed the right model in this study was the random effect model. All variables are significant, inflation and exchange rates have a positive effect while interest rates and GDP per capita have a negative effect on third-party funds in Islamic commercial banks. The results of this study have implications for banking businesses to determine the right time in attracting and channelling third party funds from the public. And can be a reference for issuing policies related to business. And for further researchers can be a reference to develop further research. In the next research, it is expected to be able to add other related variables besides the variables that have been examined in this study. The novelty in this study is the addition of variables that affect third party funds and also additional samples of Islamic commercial banks so that this research is expected to be more in-depth than previous research.


2021 ◽  
Vol 4 (2) ◽  
pp. 871-877
Author(s):  
Rahmat Dewa Bagas Nugraha ◽  
H.M Nursito

This study aims to determine and analyze the factors that affect stock prices through appropriate ratio analysis. As for the ratio of interest rates, inflation and exchange rates. Researchers want to know and analyze the effect partially or simultaneously between interest rates, inflation, and exchange rates on stock prices. This research is a quantitative study using secondary data. The object of this research is hotel companies listed on the Indonesia Stock Exchange for the period 2016-2018. The sample used in this study were 3 hotel with certain characteristics. The results of research simultaneously using the F test show that there is no influence between interest rates, inflation and exchange rates on stock prices because the calculated value is smaller than the table. Partially with the t test it can be concluded that there is no influence between interest rates on stock prices because the tcount value in the interest rate variable is smaller than the t table. Likewise, the t calculation of inflation and the exchange rate is smaller than the t table, so that there is no partial effect of the two variables on stock prices. Keywords: Stock Prices, Interest Rates, Inflation and Exchange Rates


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 557
Author(s):  
Putri Yeni ◽  
Syamsul Amar ◽  
Alpon Satrianto

This study aims to analyze the influence of interest rates, Loan to Deposit Ratio (LDR) and credit growth to inflation in Indonesia. This type of research is descriptive research and uses secondary data in the form of time-series from 2007 to 2016 using the method of multiple linear regression analysis. The results of this study indicate that interest rates have a significant and positive effect on inflation in Indonesia. The Loan to Deposit Ratio (LDR) has a significant and positive effect on inflation in Indonesia. Credit growth has a significant and positive effect on inflation in Indonesia. Based on the results of this study it can be concluded that there is a significant influence between interest rates, Loan to Deposit Ratio (LDR) and credit growth to inflation in Indonesia. Keyword: Inflation, Interest Rate, Loan to Deposit Ratio (LDR), Credit Growth


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Tarmizi Gadeng

The main objective of this study is to find out the impact of the inflation rate,percapita income as wall as the interest rate on the household comsumption of the population of Aceh.Secondary data 1983 – 2008 are collected or couning from various ageucig and instution and ordinary least square econometric model used as a method of analysis.            The result of the study tells us that the rate of inflation and the percapita income hare positive and significoutly effect on the household consumtion while the rate of interest on the other hand statistically has a negative and not significant effect on the house hold consumption. The interest rate which reflect the influence of the consumption has a positive, not significantly and in elactic. 


2021 ◽  
Vol 7 (5) ◽  
pp. p72
Author(s):  
Micah Odhiambo Nyamita ◽  
Martine Ogola Dima

Commercial banks occupy a significant position in the transmission of monetary policy through the financial market. Furthermore, commercial banks have assets and liabilities which are interest rate sensitive, and their stock returns are believed to be particularly responsive to changes in the central bank base lending rates. Therefore, this study investigated the sensitivity of central bank interest rate changes on stock returns of listed commercial banks in Kenya for nine year period, from 2006 to 2014. The study used a hybrid of cross sectional and longitudinal quantitative surveys method, applying GMM panel data regression model on the secondary data from the 11 listed commercial banks in Kenya. The study found out that there is a significant strong positive sensitivity of average annual changes in central bank interest rates (CBR) on the stock returns of the listed commercial banks in Kenya, from 2006 to 2014, measured using CAPM. Hence, listed commercial banks’ managers in Kenya should monitor, keenly, the changes in the central bank interest rates and make investor related decisions accordingly.


2018 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Anas Iswanto Anwar ◽  
Ali Akbar

Credit markets are not always balanced because of unbalanced information and other causes. There are two credit channels that influence the transmission of monetary policy from finance to the real sector, namely bank credit channels that are more concerned with the behavior of banks that are more selective in credit selection because of asymmetric information.This study aims to determine the effect of credit that consists of investment credit, working capital credit and consumption credit to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The overall data used in this study is secondary data from the result of systematic recording in the form of time series from 2007 to 2016 obtained from the Central Bureau of Statistics, Bank Indonesia Report and Indonesian Banking Statistics. Data were analyzed by using multiple regression with Ordinary Least Square (OLS) approach. Based on the results of the research, simultaneous credit has a positive and significant effect on inflation through GDP and partially found that investment credit and working capital credit have positive and significant effect to inflation through GDP, while consumption credit has positive and insignificant effect.


Al-Buhuts ◽  
2019 ◽  
Vol 15 (2) ◽  
pp. 45-64
Author(s):  
Adya Utami

This study aims to determine the determinants of the money supply, the interest rate, and inflation on Indonesia's economic growth in the 2009-2018 period. This research uses descriptive method and is strengthened by the OLS (ordinary least square) method with secondary data. The data used is sourced from the Central Statistics Agency and Bank Indonesia. The results of this study indicate that the money supply and the interest rate have a negative effect but inflation has a positive effect on Indonesia's economic growth. The JUB variable is not significant with a probability value of 0.1326. The JUB regression coefficient value has a negative relationship to the economic growth variable with a coefficient of 0.9288. The interest rate variable entered in the above equation turns out to be negative and significant with a probability value of 0.0571. The value of the coefficient of the exchange rate is (0.4843). The independent variable inflation gives a negative and not significant result with a probability value of 0.1134. Inflation coefficient value is 0.1724. In the equation model that uses economic growth as the dependent variable above, the magnitude of the coefficient of determination (R Squared) is 0.573429. This shows that the ability of the independent variable in explaining the diversity of the independent variables is 57.34% while the remaining 42.66% is influenced by other variables not included in the model.


Sign in / Sign up

Export Citation Format

Share Document