scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHINILAI TUKAR RUPIAH TERHADAP DOLLAR AMERIKA SERIKAT DENGAN PENDEKATAN NERACA PEMBAYARAN (PENDEKATAN ENGLE GRANGER-ERROR CORRECTION MODEL)

2017 ◽  
Vol 5 (2) ◽  
pp. 147
Author(s):  
Eni Setyowati ◽  
Soepatini Soepatini
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Error Correction ◽  
Dynamic Model ◽  
Money Supply ◽  
Error Correction Model ◽  
Demand And Supply ◽  
Correction Model

The equilibrium exchange rate will change along with the change of demand and supply. Factors causing the change of demand and supply curve among others are the amount of money supply, relative gross domestic product (GDP) ,the level of relative interest rate, and relative priceOne of the ways to analyze the influence of short term and long term is by developing the dynamic model. In this research, the analysis of dynamic model was conducted with Engel-Granger Error Correction Model approach which was developed by Engel-Granger (1987) based on Granger Representation Theorem.The ECM was known that long term exchange rate is influenced by the number of money supply and relative price. The variable which influence short-therm exchenge rate are the ammount of Gross Domestic Product, and interest rate.

scholarly journals PEMBAYARAN PINJAMAN LUAR NEGERI KORPORASI DAN PERGERAKAN RUPIAH

2007 ◽  
Vol 9 (3) ◽  
pp. 31-72
Author(s):  
Iwan Setiawan ◽  
Diah Indira ◽  
Angsoka Yorintha Paundralingga
Keyword(s):  
Exchange Rate ◽  
Public Opinion ◽  
Interest Rate ◽  
Error Correction ◽  
Foreign Exchange ◽  
Foreign Debt ◽  
Error Correction Model ◽  
Oil Price ◽  
Demand And Supply ◽  
Correction Model

The shifting of the exchange rate regime toward the free floating system in Indonesia, have changed the nature of the Indonesian Rupiah fluctuation, both in its magnitude and direction. Public opinion tends to believe that the high corporate demand on foreign exchange to fulfill their foreign debt repayment is one of the major depreciating factors of the Rupiah against the US dollar.This paper analyzes the response of public opinion by analyzing the effect of corporate foreign debt repayments and their general behavior on the foreign exchange demand and supply. This paper also analyzes the impact of the non-oil and gas imports, the international oil price, the interest rate differential, and the country risk.Based on the survey of selected highly leverage corporates in Indonesia, the result shows a unique dependency of the corporate»s foreign exchange demand and supply on the corporate»s earning characteristics and its business sector orientation. The fact that corporations are virtually in the position of excess demand for foreign exchange have prompted persistent pressure on the Rupiah. Furthermore, using the Johansen Cointegration Test and the Error Correction Model verifies that the corporate foreign debt service merely affects the Rupiah exchange rate in the long-run. In the short-run, the movement of Rupiah is highly affected by other factors such us the global oil price, interest rate differentials, and country risks.Keyword: Debt Service, exchange rate, cointegration, Error Correction Model, Indonesia.JEL Classification:  JEL Classification: F31, F34, H63

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI TUKAR RUPIAH TERHADAP DOLAR AMERIKA DENGAN MODEL KOREKSI KESALAHAN ENGLE-GRANGER (PENDEKATAN MONETER)

2017 ◽  
Vol 4 (2) ◽  
pp. 162
Author(s):  
Eni Setyowati
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Foreign Exchange ◽  
Domestic Product ◽  
Short Term ◽  
Demand And Supply ◽  
Real Gross Domestic Product

Exchange rate measures the value of a certain foreign exchange from other foreign exchange's perspective. As the condition of economic changes, the exchange rate ma change substantially. The decrease of the value of a foreign exchange is called depreciation and the increase value of a foreign exchange is called appreciation.The equilibrium exchange rate will change along with the change of demand and supply. Factors causing the change of demand and supply curve among others are the amount of money supply, relative gross domestic product (GDP) and the level of relative interest rate.The research is aimed to analyze the influence of variables of Indonesian money supply, American money supply, Indonesian real Gross Domestic Product, American real Gross Domestic Product, deposits interest rate and LIBOR (London Interbank Offer Rates on SDR Deposit) both in short and long terms.One of the ways to analyze the influence of short term and long term is by developing the dynamic model. In this research, the analyzes of dynamic model was conducted with ENGEL-GRANGER ERROR CORRECTION MODEL approach which was developed by ENGEL-GRANGER (1987) based on GRANGER REPRESENTATION THEOREM.The ECM analyzes was chosen not only because of its ability to solve the problem of time series which is not stationer, and spurious regression and spurious correlation in the economic analyses but also its ability to discuss the consistence of empiric model with economic theory. Beside, ECM concept is also thought to be more realistic in observing the development of economics variables from the result of the analyzes during the time of observation. It was known that long-term exchange rate is influenced by Indonesia real Gross Domestic Product and the number of Indonesian money supply. The variable of Indonesian real Gross Domestic showed the significant result and the signal test was convenient with the theory. The variable which influence" short term exchange rate are the amount of Indonesian money supply, Indonesian real Gross Domestic Product, and Indonesian deposit interest rate. The three variables showed the significant result and the signal test was convenient with the theory.

scholarly journals DETERMINAN TINGKAT SUKU BUNGA PINJAMAN DI INDONESIA TAHUN 1983 – 2002

2005 ◽  
Vol 7 (3) ◽  
Author(s):  
Taufik Kurniawan
Keyword(s):  
Interest Rate ◽  
Error Correction ◽  
Money Supply ◽  
Error Correction Model ◽  
Correction Model ◽  
Explanatory Variables ◽  
Short And Long Term ◽  
Yearly Data

This paper analyzes the role of international interest rate, money supply, inflation, SBI rate (Sertifikat Bank Indonesia) and GDP on the lending rate. We use the Error Correction Model on Indonesian yearly data from 1983 – 2002 and confirm the significant of these explanatory variables as the determinant of short and long term credit lending rates.These findings conforms the necessity for Bank Indonesia as monetary authority to take into account the external factors and support the integration of domestic and foreign financial market.Keyword: Error Correction Model, Interest rate, Financial market, Money Supply, Lending rate.JEL: C22, E44, E51

scholarly journals On the Determinants of Unemployment Rate in Nigeria: Evidence from Fully Modified OLS and Error Correction Model

2018 ◽  
Author(s):  
Monday Osagie Adenomon ◽  
N. A. Okoro-Ugochukwu ◽  
C. A. Adenomon
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Population Growth ◽  
Error Correction ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Error Correction Model ◽  
Correction Model ◽  
Short Run ◽  
Determinants Of Unemployment

This study employed the Fully Modified Ordinary Least Squares (FMOLS) and the Error Correction Model (ECM) to investigate the long-run and short-run determinants of unemployment rate in Nigeria. To achieve this annual data on unemployment rate, inflation rate, interest rate, exchange rate and population growth from 1981 to 2016 was collected from Central Bank Statistical Bulletins and the World Bank website. The ADF test revealed that the macroeconomic variables are stationary at first difference while the Cointegration test revealed that the variables are cointegrated. Using unemployment rate as dependent variable, the FMOLS model revealed that exchange rate and population growth are positively significantly related to unemployment rate, interest rate and inflation rate were negatively related to unemployment rate but only interest rate was significant. The short run relationship revealed that the coefficient of the ecm(-1) is negative and statistically significant at 5% level indicating that the system corrects its previous period disequilibrium at the speed of 48.93% yearly. This study concludes that high exchange rate and population growth can lead to increase in unemployment rate in Nigeria while the government should develop the industrial sector and non-oil sector in order to generate employment and boost export in Nigeria.

scholarly journals Analisis Inflasi di Indonesia (Suatu Pendekatan Model Dinamik)

2018 ◽  
Vol 7 (2) ◽  
pp. 85
Author(s):  
Afrizal Afrizal
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Error Correction ◽  
Money Supply ◽  
Correction Term ◽  
Research Data ◽  
Cointegration Test ◽  
The Exchange Rate ◽  
The Interest Rate

This study aims to determine the magnitude of the effect of the money supply, the exchange rate of rupiah (exchange rate) and the interest rate on inflation in Indonesia during the period 2000.12016.4. The analysis tools used for this research data are: unit root test, integration degree test, cointegration test, error correction model / ECM. The results showed that all staioner research data at level 1 (first difference) based on cointegration test showed that the variables observed in this study co-integration or have long-term relationship. The ECM model used is valid, as indicated by the error correction term (ECT) coefficient is significant. In the short run the money supply, the exchange rate of rupiah (exchange rate) and the interest rate is not significant to the inflation rate, but in the long term is significant.

scholarly journals Analisis Pengaruh Transaksi Uang Elektronik terhadap Tingkat Inflasi di Indonesia

2021 ◽  
Vol 10 (1) ◽  
pp. 56-63
Author(s):  
Ruth Damayanti
Keyword(s):  
Error Correction ◽  
Money Supply ◽  
Inflation Rate ◽  
Error Correction Model ◽  
Advanced Technology ◽  
Short Term ◽  
Electronic Money ◽  
Correction Model ◽  
The Impact

Increasingly advanced technology encourages people to make transactions using electronic money (e-money). Nowadays, more Indonesian people use electronic money in their dealings, which is proven by the increasing volume of electronic money transactions from year to year. Electronic cash is chosed because it is more practical in making transactions with traders. The rising use of electronic money can affect the money supply, which can affect the inflation rate. Several studies have stated the effect of electronic money on inflation. This study aims to determine the impact of the variable volume and nominal value of electronic money transactions (e-money) on the inflation rate in Indonesia from January 2016 to December 2020. The data used in this study are secondary data with the type of monthly time series taken from Bank Indonesia, Kementerian Perdagangan, and BPS (Badan Pusat Statistik). The analysis technique used is the ECM (Error Correction Model). The Error Correction Model in this study aims to identify long-term and short-term relationships that occur because of the cointegration between research variables and the relationship between variables that are not stationary. This study indicates that in the long term, the variables volume of e-money transactions and money supply (M2) have a significant effect on the inflation variable. In contrast, other macroeconomic variables (BI rate and nominal value of e-money transactions) has no significant impact. Meanwhile, the short-term regression model shows no variables that have a substantial effect on the inflation variable.

scholarly journals ANALISIS PENGARUH GONCANGAN FAKTOR EKSTERNAL TERHADAP PERTUMBUHAN EKONOMI

2017 ◽  
Vol 6 (1) ◽  
pp. 25
Author(s):  
Monica Wulandari ◽  
Hasdi Aimon ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
External Factors ◽  
Least Square ◽  
Significant Positive Effect ◽  
Correction Model ◽  
Positive Effect

The purpose of this research is to see how far the influence of external factors toward the economic growth in Indonesia and also to see any external factors that can decreasing economic growth in short and long term. The method is used in this research is Ordinary Least Square with use Error Correction Model (ECM) test and Cointegration. Based on analysis data was obtained three conclusions were; The first is based on the results of multiple regression, foreign investment and world oil prices and a significant positive effect on economic growth in Indonesia, while the exchange rate and foreign debt and no significant positive effect on economic growth in Indonesia at the 5% significance level. The second is in the short term through the Error Correction Model (ECM) test, the world oil price and foreign direct investment to boost economic growth while exchange rate USD / $ (NTR) and External Debt (ED) can shocks the economic growth in Indonesia. The third is in the long term through cointegration test, the variables included in the model and no significant negative effect on economic growth

scholarly journals Credit Risk Determinants in Indonesia

2018 ◽  
Vol 1 (2) ◽  
pp. 106-115
Author(s):  
Amin Yusuf Efendi
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Credit Risk ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Spurious Regression

Credit is the main business of the banking industry, therefore, in running the business, the bank is always overshadowed by the credit risk the which can be determined by the ratio of non-performing loans (NPL). The development of technology, finance digital brings the outside could impact on the financial industry both positive and negative. The purpose of this study was to analyze the interest rate, inflation, exchange rates, gross domestic product (GDP), a dummy finance digitalization policies in the long term and the short term of the non-performing loan (NPL) of conventional commercial banks in Indonesia The analytical method used in this research is-EG Error Correction Model (ECM), The Data used in this research is secondary quarterly time series data from the 2008 quarter 1-2017 4. The time series of data are not stationar Often that can cause spurious regression results, the exact models used is-EG Error Correction Model (ECM), This models may explain the behavior of short-term and long-term. The results Showed in the short-term variable interest rates significanly to non-performing loans, while in the long-term variable interest rate, exchange rate, and GDP Significantly, non-performing loans. Kredit merupakan bisnis utama dari industri perbankan, oleh karena itu dalam menjalankan bisnisnya, bank selalu dibayangi oleh risiko kredit yang dapat diketahui melalui rasio non-performing loans (NPL). Perkembangan teknologi, menghadirkan digital finance yang membawa dampak luar bisa terhadap industri keuangan baik positif dan negatif. Tujuan dari penelitian ini adalah untuk menganalisis suku bunga, inflasi, kurs, produk domestik bruto (PDB) dummy kebijakan digitalisasi keuangan dalam jangka panjang dan jangka pendek terhadap non-performing loan (NPL) bank umum konvensional di Indonesia  Metode analisis yang digunakan dalam penelitian ini adalah Error Correction Model-EG (ECM). Data yang digunakan dalam penelitian ini adalah data sekunder runtut waktu kuartalan dari 2008 kuartal 1 – 2017 kuartal 4. Data runtun waktu sering tidak stationar sehingga bisa menyebabkan hasil regresi palsu (spurious regression), Model yang tepat digunakan adalah Error Correction Model-EG (ECM), model ini dapat menjelaskan perilaku jangka pendek dan jangka panjang. Hasil penelitian menunjukkan dalam jangka pendek variabel suku bunga berpengaruh secara signifikan terhadap non performing loan, sedangkan dalam jangka panjang variabel suku bunga, kurs, dan PDB berpengaruh secara signifikan terhadap non perfoming loan.

SENSITIVITAS DOLLAR, YUAN, YEN DAN SBI TERHADAP IHSG

2016 ◽  
Vol 12 (2) ◽  
pp. 131
Author(s):  
Umi Murtini ◽  
Cynthia Septivanie
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Error Correction ◽  
Hypothesis Test ◽  
Error Correction Model ◽  
Monthly Report ◽  
Correction Model ◽  
Dollar Exchange Rate ◽  
Test Sensitivity ◽  
Daily Report

The purpose of this research is to test sensitivity of the Dollar exchange rate, Yuan exchange rate, Yenexchange rate, and interest rate to IHSG. The sample used in this studi are daily exchange rate from 1January 2015 to 30 September 2015 was got from daily report of Bank Indonesian, and then monthlyinterest rate was got from monthly report of Bank Indonesian. Hypothesis test used in this study isVector Error Correction Model (VECM). The result of this study indicate that IHSG to have sensitiveto USD variable, JPY variable, CNY variable, and SBI. IHSG have to sensitive negatif to variableCNY and SBI, while IHSG have to sensitive positive to USD and JPY .Keyword : Interest Rate, Dollar Exchange Rate, JPY, CNY, IHSG, ECM

MODEL PERMINTAAN UANG DI INDONESIA DENGAN PENDEKATAN VECTOR ERROR CORRECTION MODEL

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Imam Mukhlis
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Error Correction ◽  
Error Correction Model ◽  
Vector Error Correction Model ◽  
Demand For Money ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

This research aims to estimate the demand for money model in Indonesia for 2005.22015.12. The variables used in this research are demand for money, interest rate, inflation, and exchange rate (IDR/US$). The stationary test with ADF used to test unit root in the data. Cointegration test applied to estimate the long run relationship between variables. This research employed the Vector Error Correction Model (VECM) to estimate the money demand model in Indonesia. The results showed that all the data was stationer at the difference level (1%). There were long run relationship between interest rate, inflation and exchange rate to demand for money in Indonesia. The VECM model could not explain interaction between explanatory variables to independent variables. In the short run, there were not relationship between interest rate, inflation and exchange rate to demand for money in Indonesia for 2005.2-2015.12.

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