scholarly journals The Impacts of Interest Rate and Exchange Rate Volatilities on the Demand for Money in Developing Economies

2018 ◽  
Vol 10 (3) ◽  
pp. 56
Author(s):  
Felix S. Nyumuah
Keyword(s):  
Developing Countries ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Demand ◽  
Time Series Data ◽  
Developing Economies ◽  
Series Data ◽  
African Countries ◽  
Demand Functions ◽  
The Interest Rate

Volatilities in the interest rate and the exchange rate cause instability in money demand functions. This study investigates the effect of interest and exchange rates volatilities on money demand in developing countries using time series data of four African countries namely, Equatorial Guinea, Gambia, Nigeria and Uganda. The model used is a conventional log linear money demand function, with money demand specified as a function of income, interest rate, inflation rate, exchange rate, interest rate volatility and exchange rate volatility. The results show that on the whole the interest rate and exchange rate volatilities do not have significant effects on money demand in developing countries. However, the money demand functions of these economies prove unstable. These findings imply that the monetary authorities should resort to inflation targeting monetary policy and employ the interest rate as the policy instrument.

scholarly journals PENGARUH INFLASI, SUKU BUNGA, DAN NILAI TUKAR TERHADAP INDEKS HARGA SAHAM GABUNGAN PERIODE 2016 – 2018

2021 ◽  
Vol 6 (1) ◽  
pp. 50-59
Author(s):  
Irine Melyani ◽  
Martha Ayerza Esra
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Future Research ◽  
Time Range ◽  
Important Indicator ◽  
The Interest Rate

The movement of stock price index is the important indicator for investors to determine whether the investor would sell, buy, or hold shares. The movement of CSPI is affected by several factor like macroeconomy. The purpose of this study was to determine the effect of inflation, interest rate, and exchange rate against CSPI. Theoretically, the effect of inflation, interest rate, and exchange rate is based on efficient market hyphothesis and signalling theory which inflation, interest rate and exchange rate provide signal to investor which affect their decision that cause change to CSPI. The type of data used in this study is secondary data with quantitative approach. The sampling is based on time series data from 2016-2018 using purposive sampling methodso that 36 samples are obtained. This research uses multiple uses multiple regression analysis method using SPSS 2.2. The results of this study indicate that during the period 2016-2018 inflation does not affect CSPI, the interest rate have negative affect on CSPI and exchange rate have positive affect on CSPI. Future research is expected to add another independent variable and extend the time range of the research to obtain ore accurate and comprehensive results. Keywords: Inflation, Interest Rate, Exchange Rate, Composite Stock Price Indonesia

scholarly journals Tegar Prasetya Analysis of Macroeconomic Influence Return on Assets Banking Study on Conventional Commercial Banks in Indonesia for the Year 2018–2020

2021 ◽  
Vol 6 (5) ◽  
pp. 268-275
Author(s):  
Tegar Prasetya ◽  
Hakiman Thamrin
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Commercial Banks ◽  
Time Series Data ◽  
Series Data ◽  
Analysis Tool ◽  
Return On Assets ◽  
Macroeconomic Variables ◽  
The Exchange Rate ◽  
The Interest Rate

This study aims to analyze the effect of macroeconomic variables on the return on banking assets. The data processing method used by the researcher is using the Vector Error Correction Model (VECM) as a data analysis tool and this study confirms that the extent to which it examines the positive and significant influence between macroeconomic variables on the return on banking assets. The data obtained is secondary data based on financial statements within a period of 3 years using monthly time series data. The results of this study indicate that there is a positive and significant effect on the exchange rate and CPI variables while it is negative and significant on the inflation, interest rate and IPI variables resulting from the long-term VECM estimation. While the results show that there is a positive and significant effect on the interest rate and CPI variables and a significant negative on the inflation variable, positive and insignificant on the exchange rate variable, negative and insignificant on the IPI variable on the ROA of the short-term VECM estimation results. The results of the measurement of the composition or contribution of the influence of the independent variable on the dependent variable show the interest rate variable with a value of 4.11% in the 10th period obtained through the results of the decomposition variance (VD) test on the return on assets (ROA) of banking studies at Conventional Commercial Banks in Indonesia.

scholarly journals The Time - Varying Natural Rate of Interest and Its Fundamental Determinants: Time Series Evidence from Turkey

2016 ◽  
Vol 6 (2) ◽  
pp. 390
Author(s):  
Ilyas Siklar ◽  
Umit Yildiz ◽  
Sinan Cakan
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Series Data ◽  
Natural Rate ◽  
Output Price ◽  
Natural Rate Of Interest ◽  
Causality Relationship ◽  
The Interest Rate

In this study, by estimating the natural rate of interest, its relationship with key macroeconomic variables is analyzed using the time series data obtained from Turkey. As a first step, together with the natural rate of interest, the potential levels of output, prices and foreign exchange rate are estimated by using the Kalman Filter algorithm and then the related gap levels of each variable representing the deviations from their potentials are determined. As a second step of the study, the effects of output, price and exchange rate gaps on the interest rate gap are analyzed by using cointegration and error correction methodologies and the causality relationship among variables are examined. The main conclusion of the current study is that there is significant causality relationship between the interest rate gap, output, price and exchange rate gaps.

scholarly journals DAMPAK KEBIJAKAN INFLATION TARGETING TERHADAP BEBERAPA VARIABEL MAKROEKONOMI DI INDONESIA

2007 ◽  
Vol 9 (1) ◽  
Author(s):  
Yati Nuryati ◽  
Hermanto Siregar ◽  
Anny Ratnawati
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Targeting ◽  
Time Series Data ◽  
Policy Instrument ◽  
Series Data ◽  
Long Run ◽  
The Exchange Rate ◽  
The Interest Rate

This paper discusses the effects of the inflation targeting framework on a number of macroeconomic variabels in Indonesia, especially after the enactment of Law No. 23/1999. The objectives of the paper are: (1) to describe the independence aspect of the inflation targeting policy; and (2) to highlight the effects of the inflation targeting on a set of main macroeconomic variables.The anaysis uses the Vector Autoregression (VAR) approach, emploting the time series data during the periode of 1998:1 to 2003:6. The main results of this research are: (1) The Central Bank (BI) independence is not yet effective in the implementation of the inflation targeting; (2) the shock on the interest rate affects price level and the exchange rate trivially; and (2) the factors that influence price’s variability are the base money, the interest rate, and the exchange rate. In the long run, a shock to the base money is more important than to the interest rate and to the exchange rate. The study suggests to use base money as the policy instrument of the monetary policy, instead of the short term interest.Keywords: monetary policy, independence, inflation targeting, VARJEL Classification: C32, E31, E52

scholarly journals Determinasi Tingkat Suku Bunga Perbankan di Indonesia

2017 ◽  
Vol 4 (1) ◽  
pp. 122
Author(s):  
Arief Hadi Putra ◽  
Siswoyo Hari Santosa ◽  
Regina Niken Wilantari
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Time Series Data ◽  
Trigger Factor ◽  
Series Data ◽  
Monthly Data ◽  
Negative Effect ◽  
The Exchange Rate ◽  
The Interest Rate

The interest rate has an important role to regulate the exchange rate affecting an economy and banking transactions betweencountries.The interest rate as a trigger factor of development of a country has a very important role to cope with the level ofinflation and the exchange rate in the country. In this study, several factors are considered to influence the interest ratesinclude inflation, and exchange rates. The method used is multiple linear regression with time series data. The study wasconducted using monthly data from July 2005 until December 2012. The results of the regression carried out showed thatindlasi positive and significant impact on interest rates. While the exchange rate and no significant negative effect on interestrates.

scholarly journals Analysis of the Influence of Interest Rate, Rupiah Exchange Value, Household Consumption, and Import on Inflation in Indonesia Period 2010.Q1 - 2018.Q4

2020 ◽  
pp. 81-91
Author(s):  
Jusmer Sihotang ◽  
Nancy Nopeline
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Household Consumption ◽  
Series Data ◽  
Multiple Regression Equation ◽  
Exchange Value ◽  
The Government ◽  
The Interest Rate

This study aims to analyze the effect of the interest rest, the exchange rate of the rupiah, and imports on the inflation in Indonesia. The study used multiple regression equation by using secondary time series. Data from 2008.Q1-2018.Q4. The results showed that the interest rate of SBI, exchange rate of rupiah against US Dollar, private sector household consumption, and the total imports of Indonesia had a simultaneous impact on the inflation in Indonesia. However, partially only the interest rate of SBI and total imports of Indonesia had a significant impact on the inflation in Indonesia, respectivelyon the level ofα = 1% and α= 5%. These results mean that the increasing of interest rate of SBI and Indonesian import could impact the inflation rate in Indonesia. Based on the findings, the policy to control the inflation in Indonesia was Bank Indonesia as the holder of monetary policy needs to oversee the determination of business credit interest rate (micro, retail, and corporate), by commercial banks in order to maintain the rate on the stable and low levels. In addition, the government needs to compose the policy to reduce the dependence on imported goods by providing various facilities and incentives to increase the interest of entrepreneurs to invest in industries that produce imported substitute goods.

scholarly journals The Impact of Macroeconomic Variables on Sectoral Indices in Indonesia

ETIKONOMI ◽  
2017 ◽  
Vol 16 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Bambang Sutrisno
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Emerging Market ◽  
Estimation Method ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Interest Rate ◽  
The Impact

This study aims to examine the effect of macroeconomic variables on sectoral indices in the Indonesian Stock Exchange. The difference in sensitiveness among sectors is an interesting issue to investigate this relationship in an emerging market, such as Indonesia. This study employs ordinary least square (OLS) as an estimation method with monthly time-series data from January 2005 to December 2014. The results document that the interest rate, inflation rate, and exchange rate simultaneously have a significant effect on sectoral indices in Indonesia. The interest rate partially shows a significant negative influence on all sectors except basic industry and chemical, finance, infrastructure, utilities, and transportation, and miscellaneous industry sectors. The inflation rate partially has no significant effect on all sectors. The exchange rate partially has a significant negative impact on all industries.DOI: 10.15408/etk.v16i1.4323

scholarly journals Pengaruh diferensiasi produk terhadap volume penjualan pada home industri “Jenang Mirah” Josari Ponorogo

2017 ◽  
Vol 5 (1) ◽  
pp. 81
Author(s):  
Pega Saputra
Keyword(s):  
Interest Rate ◽  
Time Series Data ◽  
Alternative Hypothesis ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Simple Linear Regression ◽  
The Interest Rate ◽  
Descriptive Method

<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>

scholarly journals Structural Breaks dan Ketidakstabilan Permintaan Uang di Indonesia

2017 ◽  
Vol 17 (2) ◽  
pp. 169-183
Author(s):  
Deviyantini Deviyantini ◽  
Iman Sugema ◽  
Tony Irawan
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Demand ◽  
Structural Breaks ◽  
Demand Function ◽  
Series Data ◽  
Time Varying ◽  
Money Demand Function ◽  
Time Varying Parameter

Structural Breaks and Instability of Money Demand in IndonesiaThis research aims to identify the sources of instability of the money demand function (M1 and M2) due to structural changes that occur as a result of economic shocks. These shocks, are technically shown by the presence of structural breaks in the data and can lead the parameters non-constancy. The instability of the money demand function was analyzed using the Gregory and Hansen test. The source of instability of the money demand was identified using time varying parameter model. This research used quarterly time series data from 1993Q1 to 2013Q4. The result of Gregory and Hansen test indicates there is no long term equilibrium between variables (money demand, income, domestic interest rate, foreign interest rate, exchange rate, and inflation) in the model, neither M1 nor M2 model. On the other word, money demand function is unstable. The source of the instability is exchange rate variable.Keywords: Stability Money Demand; Structural Breaks; Time Varying Parameter ModelAbstrakPenelitian ini bertujuan untuk mengidentifikasi sumber-sumber ketidakstabilan fungsi permintaan uang (M1 dan M2) akibat dari perubahan struktural yang terjadi karena adanya guncangan ekonomi. Guncangan tersebut, yang secara teknis ditunjukkan oleh keberadaan structural breaks di dalam data, dapat menyebabkan parameter menjadi tidak konstan. Ketidakstabilan fungsi permintaan uang dianalisis dengan menggunakan Gregory and Hansen test. Sumber ketidakstabilan dari permintaan uang diidentifikasi dengan menggunakan time varying parameter model. Penelitian ini menggunakan data time series dalam bentuk kuartalan dari 1993Q1 sampai 2013Q4. Hasil Gregory and Hansen test menunjukkan bahwa tidak ada keseimbangan jangka panjang di antara variabel-variabel (permintaan uang, pendapatan, suku bunga domestik, suku bunga luar negeri, nilai tukar, dan inflasi) di dalam model, baik pada model M1 maupun M2. Dengan kata lain, fungsi permintaan uang tidak stabil. Sumber ketidakstabilan tersebut berasal dari variabel nilai tukar.

scholarly journals Analisis pengaruh keadaan ekonomi makro terhadap investasi Asuransi Jiwa Syariah di Indonesia tahun 2010 – 2019

2020 ◽  
pp. 37-53
Author(s):  
Khalish Khairina
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Significant Influence ◽  
Life Insurance ◽  
Time Series Data ◽  
Composite Index ◽  
T Test ◽  
Least Square ◽  
Series Data ◽  
Independent Variables

This study aims to analyze the effect of Inflation, Exchange Rate, BI Interest Rate, Indonesia Composite Index on Sharia Insurance Life in Indonesia.  Data used is time series data for 10 years (2010-2019) and analyzed by using Eviews 10. This research using quantitative descriptive method, and to analyze the effect of independent variables toward dependent variables using Ordinary Least Square technique. The result of t – test shows Inflation, Exchange Rate, Indonesia Composite Index have significant influence to Sharia Life Insurance Investment in Indonesia that t –test < 0,05 and Interest Rate doesn’t influence to Sharia Life Insurance Investment in Indonesia with t – test > 0,05. However, independent variables has a significant influence with the result of F test 0,000002 < 0,05 and Adjusted R-Squared test shows that 99,41 %  of Sharia Life Insurance Investment in Indonesia is influenced by independent variables in this research

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