scholarly journals The Effect of Inflation, Exchange Rate, BI Rate and Dow Jones Index to Indonesia Composite Index in Indonesia Stock Exchange on the Year 2013-2018

2021 ◽  
Vol 3 (3) ◽  
pp. 50-60
Author(s):  
Hasanudin

The purpose of this study is to demonstrate the influence of inflation, currency exchange rates, SBI interest rates, and the Dow Jones index on the Jakarta Composite Index on the Indonesian Stock Exchange from 2013 to 2018. Methods of quantitative research utilizing Structural Equation Modeling (SEM) analytic techniques in conjunction with the use of SmartPLS 3. The findings of this study indicate that inflation has a substantial negative influence on the CSPI. This indicates that as inflation increases, the JCI decreases. The exchange rate has a substantial negative effect on the JCI. This demonstrates that the exchange rate variable has a direct effect on the direction of the high exchange rate, lowering the JCI in the process. The SBI interest rate has no effect on the JCI and is rather detrimental to it. This indicates that when the number of SBI interest rates increases, the CSPI remains same. The Dow Jones index has a sizable positive correlation with the CSPI. This indicates that the Dow Jones index's rise has an effect on the JCI. By a factor of 0.982, the Dow Jones Index has the greatest effect on work motivation, followed by inflation, exchange rates, and SBI interest rates on the IHSG on the 2013-2018 Stock Exchange.

Author(s):  
Hasanudin Hasanudin

This analysis aims to display inflation, exchange rates of currencies, SBI, and the Dow Jones Index on IHSG and IDX from 2013 to 2018. Quantitative testing approaches using the SmartPLS 3 technology and Structural Equation Modeling (SEM) analysis techniques. Inflation has a large positive effect on the JCI. Which indicates that as inflation rises, the JCI value falls. Exchange rates significantly impact the JCI. Therefore, the exchange rate indicator directly affects the path of the high exchange rate, which reduces the JCI figure. The SBI rate has no Impact and negative on JCI. This means JCI would not be affected by the increased number of SBI interest rates. For the Dow Jones Index, the JCI is significantly positive. Which suggests that the Dow Jones index's rise has an effect on the JCI. The Dow Jones Index has the most impact on work motivation, at 0.982, in contrast to the inflation, exchange rate, and SBI interest rate variables against the IHSG of IDX from 2013 to 2018.


2020 ◽  
Vol 6 (2) ◽  
pp. 121
Author(s):  
Daniar Primavistanti ◽  
Aftoni Sutanto

This research aimed to analyze and test the effect of inflation rates, interest rate and exchange rate  on the stok price index  at the stock exchange in 2013–2015. Independent variable used are inflation, interest rates, and exchange rates. While the dependent variable is the stock price index. The object of this research  is in the market listed  on the stock price index. The  inflation  rates, interest rates,  and  the  exchange  rate that  are  taken  from Indonesian Bank. The  analytical  method used is the classic assumption test and regression test. Based  on  the  survey  result revealed  that in partial  inflation and the exchange  rate does not  significantaly  influence the Stock  Exchange  Composite Index. While the variable interest rate significantly influence the Stock Exchange Composite Index. The test results simultaneosly show variable inflation, interest rates and exchange rates have an influence on the Stock Exchange  Composite Index. The coefficient of determination was 28,3%.


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


KINDAI ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 542-562
Author(s):  
Delila Putri Syarina

Abstract: This study aims to study both partially and simultaneously, large, Analysis, Analysis, Value, Exchange, Inflation, and the Dow Jones Index Against the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (BEI) and the dominant dominant variable on the Price Index Joint Stock (CSPI)).The method used in this study is a quantitative method and with a population of 10 (ten) years, samples were taken with census sampling techniques of 10 (ten) years per year-end period, research instruments using classical data assumptions - data used using regression linear multiple.The results of this study indicate that (1) Rupiah Exchange Rates, Inflation and the Dow Jones Index influence simultaneously on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (2) the Dow Jones Index is partially related to the Composite Stock Price Index (CSPI) in The Indonesian Stock Exchange, while the Rupiah Exchange Rate and Inflation are not partially on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (3) The dominant dominant variable on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange is the Dow Jones Index..Keywords  : Rupiah Exchange Rate, Inflation, Dow Jones Index and Composite Stock Price Index (CSPI)   Abstrak: Penelitian ini bertujuan untuk mengetahui baik secara parsial dan simultan seberapa besar Analisis Pengaruh Nilai Tukar Rupiah, Inflasi Dan Indeks Dow Jones Terhadap Indeks Harga Saham Gabungan (IHSG) Di Bursa Efek Indonesia (BEI) serta variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG). Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dan dengan populasi sebanyak 10 (sepuluh) tahun, diambil sampel dengan teknik sampling sensus sebanyak 10 (sepuluh) tahun per periode akhir tahun, instrument penelitian uji asumsi klasik data – data diuji dengan menggunakan regresi linear berganda. Hasil penelitian ini menunjukkan bahwa (1) Nilai Tukar Rupiah, Inflasi dan Indeks Dow Jones berpengaruh secara simultan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (2) Indeks Dow Jones berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia, sedangkan Nilai Tukar Rupiah dan Inflasi tidak berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (3) Variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia adalah Indeks Dow Jones. . Kata kunci :     Nilai Tukar Rupiah, Inflasi, Indeks Dow Jones dan Indeks Harga Saham Gabungan (IHSG).


2020 ◽  
Vol 2 (3) ◽  
pp. 143-152
Author(s):  
Abdul Aziz

This paper examines the asymmetrical effect of the rupiah exchange rate on financial sector stock prices on the Indonesian stock exchange using the Non-Linear Autregressive Distributed Lag (NARDL) method with monthly data. Estimation results show that interest rates and exchange rates affect the movement of stock prices in the financial sector, there is a long-term relationship between the exchange rate with financial sector stock prices, our results also show the asymmetrical impact of exchange rate variables on financial sector stock prices, we also find when the exchange rate is positive (appreciation ) the effect is lower than when the exchange rate is negative (depreciation).   Tulisan ini meneliti tentang efek asimetris kurs rupiah terhadap harga saham sektor keuangan di bursa efek Indonesia dengan menggunakan metode Non-Linier Autregressive Distributed Lag (NARDL) dengan data bulanan.  Hasil estimasi menunjukkan bahwa  suku bunga dan kurs berpengaruh terhadap pergerakan harga saham sektor keuangan, terdapat hubungan jangka panjang antara kurs dengan harga saham sektor keuangan, hasil kami juga menunjukkan dampak asimetris variabel kurs terhadap harga saham sektor keuangan, kami juga menemukan ketika kurs positif (apresiasi) pengaruhnya lebih rendah dibandingkan saat kurs negative (depresiasi).


2017 ◽  
Vol 2 (2) ◽  
pp. 285
Author(s):  
Umi Sartika

ABSTRACT  The research aims to investigate empirically the influence of selected macroekonomic variables. The research design is associative. Independent variabel  are  inflation, Bank Indonesia certificate rate, the exchange rate of IDR, World Oil Price and World Gold Price on Indonesia Composite Index and Jakarta Islamic Index at The Indonesia Stock Exchange (IDX). This paper examines the direct effect of selected macroeconomic variabel on Indonesia Composite Index and Jakarta Islamic Index. The data is taken from the monthly closing price of each dependent and independent variables. The sampling method used in this study is the sample saturated and obtained a sample of 60 months of data closing price. The data used are secondary data collection methods of data documentation. The analysis which used in this research is multiple linier regression analysis, F test and t test. The result of calculations using Eviews 8, showed that: the result hypothesis F test, obtained value of Fcompute > Ftable, means that there is the influence of inflation, Bank Indonesia certificate rate, the exchange rate of IDR, World Oil Price and World Gold Price together on Indonesia Composite Index and Jakarta Islamic Index. While result of the hypothesis t test, showed that inflation, Bank Indonesia certificate rate, the exchange rate of IDR, World Oil Price and World Gold Price partially had not influence on Indonesia Composite Index and Jakarta Islamic Index


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
David Y. Aharon ◽  
Zaghum Umar ◽  
Xuan Vinh Vo

AbstractThis study examines the connectedness between the US yield curve components (i.e., level, slope, and curvature), exchange rates, and the historical volatility of the exchange rates of the main safe-haven fiat currencies (Canada, Switzerland, EURO, Japan, and the UK) and the leading cryptocurrency, the Bitcoin. Results of the static analysis show that the level and slope of the yield curve are net transmitters of shocks to both the exchange rate and its volatility. The exchange rate of the Euro and the volatility of the Euro and the Canadian dollar exchange rate are net transmitters of shocks. Meanwhile, the curvature of the yield curve and the Japanese Yen, Swiss Franc, and British Pound act mainly as net receivers. Our static connectedness analysis shows that Bitcoin is mainly independent of shocks from the yield curve’s level, slope, and curvature, and from any main currency investigated. These findings hint that Bitcoin might provide hedging benefits. However, similar to the static analysis, our dynamic analysis shows that during different periods and particularly in stressful times, Bitcoin is far from being isolated from other currencies or the yield curve components. The dynamic analysis allows us to observe Bitcoin’s connectedness in times of stress. Evidence supporting this contention is the substantially increased connectedness due to policy shocks, political uncertainty, and systemic crisis, implying no empirical support for Bitcoin’s safe-haven property during stress times. The increased connectedness in the dynamic analysis compared with the static approach implies that in normal times and especially in stressful times, Bitcoin has the property of a diversifier. The results may have important implications for investors and policymakers regarding their risk monitoring and their assets allocation and investment strategies.


2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Romikul Ghurub

The purpose of the research is to know whether the automotive sector companies operating in Indonesia is facing economic exposure. This study uses the Distributed Lag regression to determine whether there is economic exposure that must be faced by the automotive subsector in Indonesian companies listed on the Indonesia Stock Exchange during the period 2008 to 2013 or not.The results of the analysis show that the effect of the company's external economic exposure in the show by the exchange rate against foreign currencies (U.S. dollar and Japanese yen) are not shown to significantly affect the price of shares in companies listed automotive sector The Indonesia Stock Exchange. The results of this analysis can occur due to factors that affect economic exposure not only fixated on the exchange rate against foreign currencies but also there are other factors that affect the economy, such as interest rates and inflation.The results of simultaneous test (F test ) and partial test ( t test ) which found results that support each addition has no significant effect , the rupiah exchange rate against the U.S. Dollar and Japanese Yen also has a coefficient of determination with such a small proportion is 2.8 % and 0.01%. Small proportion of this which reinforce that the rupiah exchange rate against foreign currencies does not have an influence on company's stock price. Keywords: Economic Exposure, Exchange Rate, Stock Price, Regression Distributed Lag


2019 ◽  
Vol 8 (2) ◽  
pp. 75
Author(s):  
Rina R. Mamahit ◽  
Tinneke M. Tumbel ◽  
Joanne V. Mangindaan

This research aims to determine whether the macroeconomic variables i.e., the exchange rate, inflation and BI rate simultaneously and partially influence Indonesia Composite Index at The Indonesia Stock Exchange (IDX). The approach in this study is a quantitative method, using multiple linear regression analysis. The data used are time series data from January 2014 until December 2018. The result indicates that exchange rates, inflation and BI together have a significant impact to Indonesia Composite Index. Individually, only the BI rate variable has a significant effect and has a negative effect to Indonesia Composite Index. The exchange rate and inflation had no significant effect to Indonesia Composite Index.


2019 ◽  
pp. 101-113
Author(s):  
Hotmauli Sitanggang ◽  
Kornel Munthe

This study aims to analyze and determine the effect of inflation, interest rates and exchange rates on stock returns on manufacturing companies that go public on the Indonesia Stock Exchange in the 2013-2014 period. The population in this study were 149 companies that went public on the Indonesia Stock Exchange in 2013-2016. By using the Slovin method, a sample of 60 companies was obtained. This type of data is secondary data obtained by documentation techniques. The data analysis technique used is multiple linear regression by testing hypotheses using F and t. The results showed that partially inflation and interest rates had a negative and insignificant effect on stock returns while the rupiah exchange rate had a positive and significant effect on stock returns. Simultaneously that the variables of inflation, interest rates and exchange rates have a significant effect on stock returns on manufacturing companies that go public on the Indonesia Stock Exchange. The amount of variation in inflation, interest rates and exchange rates is only able to explain variations in stock returns by 4.4 percent, while the remaining 95.6 percent is explained by other variables outside of this research variable.


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