scholarly journals THE INFLUENCE OF INTEREST, JCI, EXCHANGE RATE, ECONOMIC GROWTH, AND INFLATION ON THE PERFORMANCE OF EMPLOYEES HEALTH INVESTMENT IN BUKIT ASAM FOUNDATION

2020 ◽  
Vol 1 (2) ◽  
pp. 191-199
Author(s):  
Rosaidah Permanasari Sembiring

This study aims to determine the effect of interest rates, JCI, Exchange Rate, Growth Economy and Inflation on Investment Performance Employees Health Foundation Bukit Asam. In this study, researchers used a regression method with a quantitative approach. The comparative research hypothesis is a hypothesis formulated to provide answers to the issues that are of influence. The population in this study were all of Interest Rate, JCI, Exchange Rate, Economic Growth and Inflation, and investment companies. Where the data of this study is the Interest Rate, JCI, Exchange Rate, Economic Growth and Inflation and investment company 2013 to 2017 period. The test used to test instrument this research is normality test, autocorrelation, Multicollinearity, heteroscedasticity. The results of the study that variable interest rates and a significant positive effect inverse of <0.05 and JCI positive and significant effect of <0,05 on the dependent variable, while the rupiah, Growth, and inflation is negative and not significant. While simultaneously or together there is a positive and significant influence of the independent variables on the dependent variable with a coefficient of determination of 10.1% while the remaining 89.9% is a combination of other factors not included in this study.

2021 ◽  
Vol 23 (1) ◽  
pp. 20
Author(s):  
Mirna Herawati

The purpose of this study was to determine the simultaneous effect of the inflation rate, interest rates and economic growth on the rupia exchange rate. This study also examines the partial effect of the inflation rate on the rupia exchange rate, finds the effect of interest rates on the rupia exchange rate, and economic growth on the rupia exchange rate. The research method used in this study is a quantitative method. The data source used is secondary data in the form of a Time Series. Time-series data is data that is collected over a specified period / period of time. The data collection technique used in this research is the documentary method taken from the Central Bureau of Statistic's data. From the calculation of the F value it is known that 0.00467 < 0.050, so there is a simultaneous influence of the inflation rate, interest rate and economic growth variables on the Rupiah exchange rate. The regression equation is Y = . The inflation rate coefficient for variable X1 is 0.009 and positive. This shows that the inflation rate has a direct relationship with the Rupiah exchange rate. This means that every time one unit of inflation increases, the beta variable (Y) of the rupia exchange rate will also increase by 0.009 with the assumption that other independent variables from the regression model have been corrected. The value of the interest rate coefficient for variable X2 is -0.02 and is negative. This indicates that the interest rate has a direct relationship with the Rupiah exchange rate. This means that each time the interest rate increases by one unit, the beta (Y) variable of the rupia exchange rate will decrease by 0.02 assuming that the other independent variables of the regression model have been corrected. If the value of economic growth (X3) increases one point, then the Y value will decrease by 0.06, assuming that the other independent variables of the regression model are fixed.Keywords: Inflation rate, interest rate, economic growth, rupia exchange rate


2016 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Aris Soelistyo

The purpose of this study is to formulate the monetary model of the economic growth in a small open economy (small open economy) with a free exchange rate system (flexible exchange rate system) and capital mobility is not perfect (imperfect capital mobility), as well as the factors that influence economic growth, exchange rates and interest rates with monetary approach (mathematically and empirically).This study uses a structural analysis approach to vector autoregresion with monthly data Indonesia in 2010-2014. The empirical results reveal that changes in the money supply is a significant negative effect on economic growth 0.1008 Indonesia. Moreover, economic growth is affected by the magnitude of the previous period of economic growth significantly by 0.391825, where the magnitude of the effect is determined by the strength of the exchange rate in response to changes in interest rates Indonesia, the greater the exchange rate response to changes in interest rates, the weakening influence of the period of economic growth prior to economic growth. For a small open economy (small open economy) with a free exchange rate system (flexible exchange rate system), then the value of the rupiah per dollar exchange rate is influenced significantly by the amount of money in circulation (0.063318), the exchange rate value of the last period (0.746), and the interest rate the previous period (0.3424), the interest rate two previous periods (-0.305848).For situations of capital mobility is not perfect, then the variable interest rate is treated as endogenous variables, the empirical results show that the level of BI rate significantly influenced only by the BI rate the previous month (1.4526) and the interest rate of the previous two months (0.524) 


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Anisyah Fitriany ◽  
Achmad Nawawi

<p><strong><em>ABSTRACT:</em></strong><em> This research aims to find out how inflation, BI interest rates, and rupiah exchange rates affect the return on assets of persero banks in Indonesia. The method used in this research is descriptive and verifikative research method. The data was obtained from the financial statements of persero banks, consisting of Bank Mandiri, Bank Tabungan Negara, Bank Negara Indonesia, and Bank Rakyat Indonesia which were published on the official website of the Financial Services Authority during the quarter of 2017 to the quarter of 2019. Sampling in this study is based on saturated sampling techniques, i.e. all members of the population are sampled. The data in this research is processed using SPSS software. Data processing and analysis techniques use multiple regression analysis. The results of this study showed that together (simultaneously) independent variables of Inflation Rate, BI Interest Rate, and Rupiah Exchange Rate had a significant effect on Bank Persero's ROA in Indonesia in 2017-2019. The test results partially showed that the Variable Inflation Rate negatively and significantly affects return on assets at the persero banks registered with the Financial Services Authority for the period 2017-2019, bi interest rate variables have no effect on Return On Assets on persero banks registered with the Financial Services Authority for the period 2017-2019, rupiah exchange rate variables have a positive and significant effect on Return On Assets on persero banks registered with the Financial Services Authority for the period 2017-2019. Based on the test results determining the amount of coefficient of determination of 18% while the remaining 82% is explained by other variables that are not included in the regression model equation.</em></p><p><strong><em>Keywords</em></strong><em>: Inflation Rate, Bi Interest Rate, Rupiah Exchange Rate, Return On Assets</em></p><p align="center"> </p><p><strong>ABSTRAK:</strong> Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh inflasi, suku bunga BI, dan nilai tukar rupiah terhadap <em>return on asset</em> bank persero yang ada di Indonesia. Metode yang digunakan dalam penelitian ini adalah metode penelitian deskriptif dan  verifikatif. Data diperoleh dari laporan keuangan bank persero, yang terdiri dari Bank  Mandiri, Bank Tabungan Negara, Bank Negara Indonesia, dan Bank Rakyat Indonesia yang publikasi di website resmi Otoritas Jasa Keuangan selama triwulan tahun 2017 sampai dengan triwulan tahun 2019. Pengambilan sampel dalam penelitian ini didasarkan pada teknik sampling jenuh, yaitu semua anggota populasi dijadikan sampel. Data dalam penelitian ini diolah menggunakan software SPSS. Teknik pengolahan dan analisis data menggunakan analisis regresi berganda. Hasil dari penelitian ini menunjukkan hasil bahwa secara bersama-sama (simultan) variabel independen Tingkat Inflasi, Suku Bunga BI, dan Nilai Tukar Rupiah berpengaruh signifikan terhadap ROA Bank Persero di Indonesia tahun 2017-2019. Hasil pengujian secara parsial menunjukkan hasil bahwa variabel Tingkat Inflasi berpengaruh negatif dan signifikan terhadap Return On Asset pada bank persero yang terdaftar di Otoritas Jasa Keuangan periode 2017-2019, variabel Suku Bunga BI tidak memiliki pengaruh terhadap Return On Asset pada bank persero yang terdaftar di Otoritas Jasa Keuangan periode 2017-2019, variabel Nilai Tukar Rupiah berpengaruh positif dan signifikan terhadap Return On Asset pada bank persero yang terdaftar di Otoritas Jasa Keuangan periode 2017-2019. Berdasarkan hasil uji  determinasi besarnya koefisien determinasi sebesar 18% sedangkan sisanya 82% dijelaskan oleh variabel lain yang tidak dimasukkan dalam persamaan model regresi.</p><p><strong>Kata Kunci:</strong> Tingkat Inflasi, Suku Bunga BI, Nilai Tukar Rupiah, <em>Return On Assets.</em></p>


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


Author(s):  
Pega Saputra

<p><em>This study describes the influence of SBI interest rate on the rupiah at Bank Indonesia studies. The method in this research is descriptive method with quantitative approach. Determination of the sample is based on time series data 2009-2015 period by using saturation sampling methods as many as 84 samples. This research was conducted at Bank Indonesia has the sole purpose of achieving and maintaining stability in the rupiah. This study uses simple linear regression analysis which includes the classical assumption and hypothesis testing in the form of the coefficient of determination (r</em><em>2</em><em>) and the partial test (t test). The results showed that the interest rate significantly influence the exchange rate. that the null hypothesis is rejected and the alternative hypothesis is accepted.</em></p>


2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Badrud Duja ◽  
Heri Supriyanto

Over the past years, Indonesia’s economic growth has been recorded among the top developing countries. The economic growth is believed to contribute to the increase on residential property prices. The main objective of this study is to analyse the influence of determinants of residential property prices in Indonesia by examining the dynamic relationships of residential property prices reflected through the Residential Property Price Index (RPPI) with Gross Domestic Product (GDP), investment interest rates, wages, inflation and the exchange rate against the US dollar using secondary data over a period of thirteen-years between 2002Q1 and 2014Q4. By applying the Engle-Granger co-integration testand the error correction model, this research aims to see the relationship between the variables both in the short- and long-term. The results of the study indicated that macroeconomic factors that were significantly related to Indonesian residential property prices were GDP, wages, inflation, and exchange rates against the US dollar, while the investment interest rate was not included in these factors. Furthermore, based on the results of the regression analysis on research data, government policy in setting minimum wage standards has the greatest impact on residential property prices in the property sector in Indonesia. Thus, the results of this research are expected to provide the government with better viewpoints that will assist them in enacting better policies in the residential property sector.


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.


2021 ◽  
Vol 10 (3) ◽  
pp. 217-228
Author(s):  
Thi Xuan Huong Tram ◽  
Nguyen Thi Thanh Hoai

This paper aims to find out the relationship between systemic risk in Vietnam and the effects of macroeconomic factors, including exchange rate, interest rates, and economic growth. We collect data from the Vietnamese stock market, specifically 29 listed financial firms (banks, insurance companies, and securities firms) for the period 2010-2018. The analysis is performed in two steps including systematic risk measurement in Vietnam based on the Systemic Expected Shortfall (SES) method and providing evidence from analysis related to the risk determinants assessment. Besides ordinary least squares (OLS) methods, we make use of fixed-effects (FEM) estimations, random-effects (REM) estimations, and system generalized method of moments (SGMM). The empirical evidence in this paper indicates that economic growth has a negative relationship on systemic risk in Vietnam while the exchange rate has a positive impact on systemic risk, and the interest rate has a negative relationship on systemic risk in Vietnam. Future studies can address the effects of interest rate on systemic risk during this period.


2014 ◽  
Vol 4 (2) ◽  
pp. 151
Author(s):  
Kenda Satya

This research was proposed to discover the influential factors on consumptive financing murabahah (a contract of sale of goods with the agreement on selling price and profit earned between the seller and the buyer) margin in Kaltim Sharia bank. The research instrument that had been used was the multiple linear regressions, correlation coefficient, coefficient of determination, as well as the classical assumption. Based on the analysis, the results showed that 1) Variable of Financing Deposit Ratio (X1), Return on Assets (X2), Inflation (X3) and the interest rate (X4) gave significant effect on murabahah margin Bankaltim Sharia (Y) simultaneously. The initial analysis confirmed that the first hypothesis was accepted and proven accurate because the value of probability was less than (<)0.05 namely 0.000; 2) Moreover, the next investigation found that inflation (X3) was the most dominant variable in this study for its Inflation beta value was more than (>)FDR beta value (X1), ROA (X2), and interest rates (X4) which means that the second hypothesis was rejected due to higher inflation would extensively increase production costs and prices of goods / services. Consequently, the purchasing power will decline and subsequently murabahah financing demand would automatically decreasing as well that ultimately results in reduced margins of murabahah.


Author(s):  
Oleksandr Zholud ◽  
Volodymyr Lepushynskyi ◽  
Sergiy Nikolaychuk

This paper analyzes the effectiveness of monetary transmission channels in Ukraine since the National Bank of Ukraine (NBU) transitioned to inflation targeting and after the central bank established its new approach to monetary policy implementation. The authors conclude that the central bank has sufficient control over short-term interest rates in the interbank market and that it uses them to influence other financial market indicators. At the same time, further transmission via the interest rate channel is constrained by weak lending and the banking system’s slow post-crisis recovery. The exchange rate channel remains the most powerful avenue of monetary transmission. After the NBU switched to a floating exchange rate and an active interest rate policy, its key rate became a means of influencing exchange rates. The exchange rate channel’s leading role is expected to gradually decrease but remains important, as is typical for small open economies.


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