scholarly journals PEMODELAN JUB DAN BI RATE TERHADAP INFLASI DAN KURS RUPIAH MENGGUNAKAN REGRESI SEMIPARAMETRIK BIRESPON BERDASARKAN ESTIMATOR PENALIZED SPLINE

2020 ◽  
Vol 9 (2) ◽  
pp. 204-216
Author(s):  
Siti Fadhilla Femadiyanti ◽  
Suparti Suparti ◽  
Budi Warsito
Keyword(s):  
Exchange Rate ◽  
Money Supply ◽  
Semiparametric Regression ◽  
Least Square ◽  
Penalized Spline ◽  
R Program ◽  
Us Dollar ◽  
The Exchange Rate ◽  
The Right ◽  
The Relationship

Some indicators of the Indonesian economy are inflation and the exchange rate of rupiah against US dollar. Inflation and the rupiah exchange rate are thought to be influenced by the money supply (JUB) and the BI Rate. The money supply has a nonparametric relationship pattern to inflation and the rupiah exchange rate, while the BI Rate has a parametric relationship pattern  to inflation and the rupiah exchange rate. The right method for detecting the relationship between inflation and the exchange rate with JUB and BI Rate is birespon semiparametric regression with a splined penalized estimator. The semiparametric regression coefficient of birespon spline penalized is estimated using the Weighted Least square (WLS) method which is determined based on the degree of polynomials, the number and location of the optimal knot points, and the optimal lambda determined based on the minimum of Generalized Cross Validation (GCV). This research uses the R Program. Based on the results of the analysis, the best spline penalized birespon semiparametric regression model is located in the number of knots is 5 at the knot points of 5257,783; 6649,469; 8976,871; 11099,19 and 13535,51 found in the first degree of response is 1 and the second degree of response is 2 with an optimal lambda of 99,99. The results of the performance evaluation of the model produce value of  is 99,9007%, meaning that the model's performance is very good for out samples of the data and the MAPE value of 2.89169% is less than 10% which means the model's performance is very good.  

Determinants of Workers’ Remittances in Nepal: An Empirical Study

2021 ◽  
Vol 3 (1) ◽  
pp. 126-140
Author(s):  
Naw Raj Bhatt ◽  
Melina Kharel
Keyword(s):  
Exchange Rate ◽  
Poverty Eradication ◽  
Exogenous Variables ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Us Dollar ◽  
The Exchange Rate ◽  
External Sector ◽  
The Relationship

Background: Remittance has a crucial role in external sector stability, poverty eradication, and social as well as the human development of developing countries like Nepal. The determinants of remittance are widely discussed in the existing works of literature from altruism and portfolio approaches. Since the share of remittance in the current account, current transfer income, and forex reserve is significantly high, the study of major determinants of increasing remittance inflow is necessary. In this regard, this paper examines the relationship between remittance inflow, exchange rate, and workers outflow in Nepal. Objective: The main objective of this study was to examine the effect of the exchange rate and workers outflow on the remittance inflow of Nepal. Methods: This study employs the ARDL approach to co-integration to examine the relationship between remittance inflow as an endogenous variable and exchange rate and workers outflow as exogenous variables. Results: The coefficients of the exchange rate and workers outflow are significant and positive in long run as well as in the short-run whereas coefficients of the first lag value of workers outflow and remittance inflow itself are significant but negative. Conclusion: The significant and positive coefficient of exchange rate indicates that depreciation of Nepalese currency with US dollar (or rise in the exchange rate) rises the remittance inflow. Further, the remittance inflow also increases with an increase in workers outflow. The effect of the exchange rate on remittance is greater than that of workers outflow in both the long-run and short-run.

scholarly journals The relationship between macroeconomic factors and stock market volatility: empirical evidence from the Vietnam stock market

2013 ◽  
Vol 16 (3) ◽  
pp. 86-100
Author(s):  
Kieu Minh Nguyen ◽  
Diep Van Nguyen
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Macroeconomic Factors ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
The Relationship

The main target of this study is to measure the relationship of macroeconomic factors to the volatility of the stock market in Vietnam (through stock price VN-index). There are four factors including the consumer price index (measure of inflation), the exchange rate of USD/VND and money supply M2. Research shows that the stock price VN-Index has a positive relationship with the money supply M2 and the domestic gold price in long term. On the contrary, it has a negative relationship with the inflation while it does not have any connection to the exchange rate and stock price index. In short term, the current stock price index has proportional to the stock price index last month and inversely proportional to the exchange rate. The estimated speed of adjustment indicates that the Vietnam stock market converges to the equilibrium about 8 months (adjusted approximately 13.04% per month) to reach equilibrium in the long term.

scholarly journals Estimasi permintaan indeks harga saham gabungan di Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 65-76
Author(s):  
Ade Nugraha Paer ◽  
Syamsurijal Tan ◽  
Emilia Emilia
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Least Square ◽  
Stock Price Index ◽  
The Exchange Rate ◽  
Index Exchange

The purpose of this study is (a) to see the development of the composite stock price index, exchange rate, inflation, interest rates, and the money supply in Indonesia. (b) analyze the effect of the exchange rate, inflation, interest rate, and money supply on the composite stock price index in Indonesia. The method used in this study is a quantitative descriptive method with multiple linear regression analysis tools using the Ordinary Least Square (OLS) method. The data used is in the form of a time series. The results of this study average the development of the composite stock price index by 0.22 percent, the exchange rate by 2.57 percent, inflation by -0.90 percent, interest rates by -2.73 percent, and the Money Supply by 0.06 percent. Based on the results of the analysis conducted, exchange rates and interest rates have a negative and significant effect on the composite stock price index, inflation and the money supply have a positive and significant effect on the composite stock price index. Keywords: Composite stock price index, Exchange rate, Inflation, Interest rates, Money supply.

scholarly journals Estimation of VECM Parameter Using Bayesian Approach: An Application to Analysis of Macroeconomic Variables

2020 ◽  
Vol 9 (6) ◽  
pp. 113
Author(s):  
Meilina Retno Hapsari ◽  
Suci Astutik ◽  
Loekito Adi Soehono
Keyword(s):  
Parameter Estimation ◽  
Exchange Rate ◽  
Interest Rates ◽  
Money Supply ◽  
Bayesian Approach ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Macroeconomic Variables ◽  
Us Dollar ◽  
The Relationship

This study uses Bayesian approach to estimate Vector Error Correction Model (VECM). The aims of this study is to analyze the relationship between macroeconomic variables in Indonesia. To analyze the best method to influence government targets or policies on economic growth by studying the relationships of many macroeconomic variables. Previous studies in analyzing the relationship between macroeconomic variables with VECM analysis, using the Maximum Likelihood Estimation. However this estimation method cannot solve the problem of overparameterization in VECM model. The variables used in this study are six macroeconomic variables in Indonesia in 2010 quarter 1 to 2019 quarter 4 are GDP, the money supply, exchange rate of rupiah to US dollar, exports, imports and interest rates. The number of data in this study is less than the number of estimated parameters causing overparameterization problems. Therefore, this study uses the Bayesian parameter estimation method to avoid overparameterization problems in economic data. The model obtained from this study is the BVECM(3) and it has been proven that the model is suitable (the model diagnostic test). Based on the parameter estimation results of BVECM(3), the significant variables affecting GDP are GDP itself, the money supply, exchange rate of rupiah to US Dollar, exports, imports and the interest rate for Bank Indonesia Certificates. In addition, there is a two-way relationship that affects each other, namely the relationship between GDP and the money supply, exports and imports, exports and interest rates, and between imports and interest rates.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

The Role of Different Channels in Transmitting Monetary Policy into Output and Price in Vietnam

2015 ◽  
pp. 20-40
Author(s):  
Vinh Nguyen Thi Thuy
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Monetary Transmission ◽  
Impulse Response Functions ◽  
Short Run ◽  
The Exchange Rate ◽  
The Interest Rate ◽  
Interest Rate Channel

The paper investigates the mechanism of monetary transmission in Vietnam through different channels - namely the interest rate channel, the exchange rate channel, the asset channel and the credit channel for the period January 1995 - October 2009. This study applies VAR analysis to evaluate the monetary transmission mechanisms to output and price level. To compare the relative importance of different channels for transmitting monetary policy, the paper estimates the impulse response functions and variance decompositions of variables. The empirical results show that the changes in money supply have a significant impact on output rather than price in the short run. The impacts of money supply on price and output are stronger through the exchange rate and credit channels, but however, are weaker through the interest rate channel. The impacts of monetary policy on output and inflation may be erroneous through the equity price channel because of the lack of an established and well-functioning stock market.

scholarly journals PENGARUH HARGA MINYAK DUNIA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA (MODERASI VARIABEL MONETER)

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Wilda Novita Sari ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Exchange Rate ◽  
Data Analysis ◽  
Secondary Data ◽  
Oil Prices ◽  
Analysis Tool ◽  
Data Analysis Tool ◽  
The Exchange Rate ◽  
The Relationship

Abstract: The purpose of this research is to be able to determine the effect of world oil prices on economic growth in Indonesia by applying the exchange rate moderating variable and the BI rate as a connecting variable. Descriptive and associative research is a type of research that is used with data collection techniques through a trusted official agency website that is classified in the quarterly time series secondary data. The data year in this study was from 2006 to 2018. Data analysis was carried out through descriptive and inductive analysis with a Moderated Regression Analysis (MRA) data analysis tool accompanied by a classic assumption test and a t test. Estimation results show that there are two research results; firstly, that the exchange rate has an effect on moderating the relationship between world oil prices and economic growth in Indonesia, secondly, that the BI rate has no influence connecting world oil prices and economic growth in Indonesia. Keywords: World oil prices, economic growth, exchange rates, BI rate, Moderated Regression Analysis (MRA).

scholarly journals Measuring the relationship between the balance of payments and the exchange rate - A case study of a group of Arab countries during the period 2000/2016-

2018 ◽  
Vol 2 (2) ◽  
pp. 44-66
Author(s):  
Abd Elouahid SERARMA ◽  
Newfel BAALOUL
Keyword(s):  
Exchange Rate ◽  
Empirical Studies ◽  
Arab Countries ◽  
Balance Of Payments ◽  
Rate System ◽  
Exchange Rate System ◽  
Independent Variable ◽  
The Exchange Rate ◽  
The Relationship

The Objective of this study is to examine the effect of exchange rate system on the balance of payments, with a case study of a group of Arab countries. First we shed light on the most important theoretical and empirical studies of exchange rate systems and their macroeconomics effects in one hand. In the other hand we study a case of six oil exporting Arab countries. To achieve this purpose we adopted a panel data and run an econometric model to examine the relationships between the variables during the period 2000 to 2016. The study concluded that there is a significant positive correlation between the exchange rate as an independent variable and the balance of payments as a dependent variable, and there is no deference in the effects of the exchange system in the study of six Arab economies.

scholarly journals Macro Economic Challenges and Third Party Funds of Islamic Commercial Banks in Indonesia

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Anik Anik ◽  
Iin Emy Prastiwi
Keyword(s):  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
Data Gathering ◽  
Third Party ◽  
Series Data ◽  
Monthly Data ◽  
The Us ◽  
Us Dollar ◽  
Gathering Data

This article aims to determine the effect of inflation, the BI Rate, the exchange rate of the rupiah to the US dollar, and the amount of money supply for Third Party Funds (TPF) in Indonesians’ Islamic Banks during 2013-2016. This research method uses multiple regression analysis with time series data; gathering data from 48 samples of which are monthly data on the variables.  The result of this research find that the inflation and exchange rate variables have no significant effect on TPF, while the BI Rate variable and the money supply have a significant effect on TPF. In doing so, Islamic banking can pay serious attention to the BI rate and the money supply and in this study the BI rate on the direction of TPF. Keywords: inflation, BI rate, exchange rate, Third Party Funds

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