scholarly journals ANALISIS PENGARUH KURS, BI RATE DAN INFLASI TERHADAP IHSG DI BEI PERIODE 2014-2017

KEUNIS ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 64
Author(s):  
Esty Nidianti ◽  
Edi Wijayanto

<p><em>The aim of this study was to determine the effect of macro economic conditions which including the exchange rate, BI rate and inflation of the composite stock price index. The study had used quantitative approach. Determination of the sample was based on time series data periode January 2014 – December 2017 by using saturation sampling method, which resulted 48 as number of samples. This study also had chosen multiple linier regression as attempts to analyze data. The simultaneous test (F test) resulted that the exchange rate, BI rate, and inflation had given significant effect on the stock price index. Meanwhile, the partial test (t test) had indicated that the exchange rate variable and BI rate significantly influenced the stock price index. In contrast, rate of inflation had not showed significant effect on the stock price index. </em><strong><em></em></strong></p>

2021 ◽  
Vol 4 (1) ◽  
pp. 51-63
Author(s):  
Diah Budi Pratiwi ◽  
Damayanti Damayanti ◽  
M. Iqbal Iqbal Harori

This research aims to find out the macroeconomic influence of inflation, bi rate, and rupiah exchange rate on changes in the stock price index of consumer goods sector. The independent variables that used in this research are Inflation (X1), BI Rate (X1), and Rupiah Exchange Rate (X3) and Consumer Goods Sector Stock Price Index as dependent variable. The data in this research is a time series data that includes inflation, BI Rate, and Rupiah exchange rate data for the period 2016-2020. The samples in this research amounted to 60 samples that taken by using census sampling techniques. The data in this research was analyzed by using multiple linear regressions with simultaneous variable results of Inflation, BI rate, and Rupiah Exchange Rate significantly affecting changes in the Consumer Goods Sector Stock Price Index with a value of R Square is 0.382 or 38.2%. While the results partially show that variable inflation has a significant and positive effect, variable rupiah exchange rates has negatively affect on changes in the Stock Price Index of the Consumer Goods Sector. As for the variable BI Rate has no significant effect on changes in the Stock Price Index of the Consumer Goods Sector. ABSTRAK   Penelitian ini bertujuan untuk mengetahui pengaruh ekonomi makro inflasi, bi rate, dan nilai tukar rupiah terhadap perubahan indeks harga saham sektor consumer goods. Variabel bebas yang digunakan pada penelitian ini yaitu Inflasi (X1), BI Rate (X1), dan Nilai Tukar Rupiah (X3) serta Indeks Harga Saham Sektor Consumer Goods sebagai variabel terikat. Data pada penelitian ini merupakan data time series yang meliputi data Inflasi, BI Rate, dan Nilai Tukar Rupiah untuk periode tahun 2016-2020. Sampel pada penelitian ini berjumlah 60 sampel yang diambil dengan menggunakan teknik sampling sensus. Data pada penelitian ini dianalisis dengan menggunakan regresi linier berganda, dengan hasil secara simultan, variabel Inflasi, BI rate, dan Nilai Tukar Rupiah berpengaruh signifikan terhadap perubahan Indeks Harga Saham Sektor Consumer Goods. Secara parsial, variabel inflasi berpengaruh signifikan dan positif, serta variabel nilai tukar rupiah berpengaruh negatif terhadap perubahan Indeks Harga Saham Sektor Consumer Goods. Sedangkan untuk variabel BI Rate tidak berpengaruh secara signifikan terhadap perubahan Indeks Harga Saham Sektor Consumer Goods.


2015 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Tuti Purwaningsih

The purpose of this study was to determine the influence of the independent variables are indicated by the BI Rate, the rate of inflation, exchange rate and the Dow Jones Against Composite Stock Price Index. The analysis tool used is multiple linear regression using time series data is 2009-2014. In the model equations, Composite Stock Price Index is the dependent variable and the BI Rate, the rate of inflation, exchange rates as well as Dow Jones is the independent variable. Results of regression is that the variable BI Rate (X1) a significant negative effect on the Composite Stock Price Index, inflation (X2) significant negative effect on the Composite Stock Price Index, the exchange rate (X3) significant negative effect on Stock Price Index and Index Dow Jones (X3) positive and significant impact on the Composite Stock Price Index. The coefficient of determination (R2) is 0.970445, or 97%. This indicates that the BI Rate (X1), the rate of inflation (X2), the exchange rate (X3) and Dow Jones (X4) in explaining the dependent variable or dependent Composite Stock Price Index amounted to 97%, while the remaining 3% is explained by other variables outside the model that implicitly reflected in confounding variables.  Suggestions can meet of the results of this study are advised to look at the effect of other macroeconomic variables in detail which can affect and use other variables outside the monetary variables like social and political situation of a country. And also advised to conduct research using other approaches.


Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 93
Author(s):  
Nurlia Rahmatika

<em>This study aims to determine the analysis of the influence of the Money Supply (M2), the USD Exchange Rate and the Consumer Price Index.</em> <em>The research methodology used is a quantitative method with time series data and data sources derived from secondary data obtained from the Indonesia Stock Exchange. The sampling technique uses purposive sampling method with monthly data and research period from January 2009 to December 2016. The data analysis technique used is multiple linear regressions.</em> <em>The results of this study indicate that partially the independent variable Amount of Money has a positive and significant effect on the Trading Sector Stock Price Index. While the independent variable USD Exchange Rate and Consumer Price Index has a negative and significant effect on the Trading Sector Stock Price Index. Meanwhile, simultaneously the independent variable consisting of Money Supply, the USD Exchange Rate and the Consumer Price Index together have a significant relationship to the dependent variable, namely the Trade Sector Stock Price Index. </em>


2018 ◽  
Vol 5 (1) ◽  
pp. 175
Author(s):  
Rais Sani Muharrami ◽  
Shufiatul Zahidah ◽  
Ika Yoga

This study aims to determine the macroeconomic indicators that affect sharia banking stock price index period 2014-2016. Four variables consist of inflation, BI interest rate, rupiah exchange rate and SBIS are considered to have an effect on the syariah bank stock price index. This research uses quantitative method. This study uses monthly time series data which is analyzed by multiple linear regression. The data used are secondary data with 36 data from January 2014-December 2016. Data collection is taken with documentation techniques sourced from the official website of Bank Indonesia and yahoofinance.com. The results showed that inflation did not significantly influence the sharia bank stock price index. While the BI interest rate, the exchange rate of rupiah and SBIS have a significant influence on PT Bank Panin Dubai Syariah Tbk stock price index. From the results of this study, it can be concluded that the indicators considered in the PT Bank Panin Dubai Syariah Tbk stock price index are BI rate, rupiah exchange rate and SBIS.


2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.


2021 ◽  
Vol 1 (2) ◽  
pp. 332-348
Author(s):  
Hani Nurrahmawati ◽  
Hasbi Assidiki Mauluddi ◽  
Endang Hatma Juniwati

The title of this research is Analysis Influence of Macroeconomic to Net Asset Value of Islamic Mutual Fund Equity period 2015-2019. The purpose of this study is to determine the effect of partially and simultaneously variables of BI Rate, Inflation, Composite Stock Price Index and Exchange Rate on Net Asset Value of Sharia Mutual Funds in Indonesia in the period January 2015 - December 2019. The dependent variable is Net Asset Value of Sharia Mutual Funds, while the independent variables are BI Rate, Inflation, Composite Stock Price Index and Exchange Rate.Types of data used in this study are secondary data sourced from OJK, IHSG-IDX and BI published between 2015-2019. All of the data will be processed panel data which is a combination of time series data and cross section data. The results of this research showed that in the partial just variables of the BI Rate, Inflation, Composite Stock Price Index and Exchange Rate influenced to Net Assets Value of Islamic Mutual Funds in Indonesia, and simultaneous from variables of the BI Rate, Inflation, Composite Stock Price Index and Exchange Rate influenced to Net Assets Value of Islamic Mutual Funds in Indonesia and the value of Adjusted R-square coefficient of determination is 0.311175 means in togetherness variables of the BI Rate, Inflation, Composite Stock Price Index and Exchange Rate have a contribution influenced NAV of Islamic Mutual Funds in the amount of 31%, while the rest is 69% influenced by other variables that are not included into this research.


Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 107
Author(s):  
Mirzosaid Sultonov

Russia’s international comportment and geostrategic moves, particularly the invasion of Ukraine and the annexation of Crimea in 2014, caused a substantial change in its international economic and political relations. In response to Russia’s invasion, the United States of America, the European Union, and their allies imposed a series of sanctions. In this study, by applying an exponential generalized autoregressive conditional heteroscedasticity model to daily logarithmic returns of the ruble exchange rate and the closing price index of the Russian Trading System, we analyze how the returns and volatility of the exchange rate and the stock price index responded to the sanctions and oil price changes. The estimation results show that the sanctions have a significant positive short-term impact on exchange rate returns. Economic sanctions have a significant negative long-term impact on the returns and variance of the exchange rate and a significant positive long-term impact on the returns of the stock price index. Financial sanctions have a positive/negative long-term impact on the returns of the exchange rate/stock price index and a positive long-term impact on the variance of the exchange rate and the stock price index. Corporate sanctions have a positive long-term impact on exchange rate returns.


2016 ◽  
Vol 6 (2) ◽  
pp. 228
Author(s):  
Evania Rahma Octavia ◽  
Dwi Wulandari

This study aims to determine the effect of macro variables which include Indonesia's real gross domestic income, money supply, consumer price index and interest rates on international trade mediated by the exchange rate of rupiah against the dollar. This type of research is descriptive research with quantitative approach. Determination of the sample based on quarterly time series data 2010-2014. This study uses path analysis. The results showed domestic gross product, the money supply, and interest rates together  have a significant effect on the exchange rate but the consumer price index do not have significant effect on the exchange rate. The results also show that the exchange rate has no significant effect on imports and exports. 


2013 ◽  
Vol 16 (3) ◽  
pp. 86-100
Author(s):  
Kieu Minh Nguyen ◽  
Diep Van Nguyen

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.


Author(s):  
Arief Fadhlurrahman Rasyid ◽  
Dewi Agushinta R. ◽  
Dharma Tintri Ediraras

The stock price changes at any time within seconds. The stock price is a time series data. Thus, it is necessary to have the best analysis model in predicting the stock price to make decisions to avoid losses in investing. In this research, the method used two models Deep Learning namely Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) in predicting Indonesia Composite Stock Price Index (IHSG). The dataset used is historical data from the Jakarta Composite Index (^JKSE) stock price in 2013-2020 obtained through Yahoo Finance. The results suggest that Deep learning methods with LSTM and GRU models can predict Indonesia Composite Stock Price Index (IHSG). Based on the test results obtained RMSE value of 71.28959454502723 with an accuracy rate of 92.39% for LSTM models and obtained RMSE value of 70.61870739073838 with an accuracy rate of 96.77% on GRU models.


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