Anlysis Of Factors Affecting Price Movements Of The Joint Stock Index On Indonesia Stock Exchange In 2015-2019

2021 ◽  
Vol 4 (4) ◽  
pp. 113-117
Author(s):  
Jonerli Gunawan ◽  
Ella Silvana Ginting
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Oil Price ◽  
Stock Index ◽  
Factors Affecting

The study aims in determining and analyzing the effect ofInflation Rate, Exchange rate, Interest rate and Oil Prices on Indonesia Composite Index simultaneously and partially on the Indonesian Stock Exchange in 2015-2019. The population that is used in this study is Indonesia Composite Index on the Indonesian Stock Exchange (IDX) period in 2015 to 2019 which totaling 60 months. The samplex selection uses a saturated sampling technique so all polulation are used as samples. This research used quantitative descriptive by testing classic assumption tests and multiple linear regression analysis using IBM SPSS Statistics 21 aplications.Simultaneously Inflation Rate, Exchange rate, Interest rate and oil price have an effect on Indonesia Composite Index. Partially, Infaltion Rate and Oil Price have a significant effect on Indonesia Composite Index while Exchange Rate, Interest Rate have no effect on Indonesia Composite Index in Indonesia Stock Exchange Periode 2015-2019.

scholarly journals Analysis of Determinants of Stock Transaction Volume and Its Effect on the LQ45 Stock Price Index on IDX 2010-2020 Period

2021 ◽  
Author(s):  
Mohammad Noor Salim ◽  
Gabriel Anugrah Pratama
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Stock Price ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Stock Index ◽  
Company Performance ◽  
Dollar Exchange Rate

The LQ45 stock index is a stock index that concerns investors in monitoring the development of company performance that is included in the LQ45 index calculation. Several factors that can cause the movement of the LQ45 stock index include BI interest rates, exchange rates, and global stock exchanges such as the Shanghai Composite Index. The study was conducted to determine the effect of the BI interest rate, dollar exchange rate, yuan exchange rate and the Shanghai Composite Index (SSE) on the LQ45 stock index. The study was conducted using 121 samples consisting of monthly data for all variables from 2010 to 2020. Data analysis was performed using multiple linear regression analysis techniques. The results show the BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously have a significant effect on the LQ45 stock index. BI interest rate and yuan exchange rate partially have a significant effect on the LQ45 stock index. The dollar exchange rate and Shanghai Composite index have no significant effect on the LQ45 stock index. The BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously affect volume of transactions. Partially, BI interest rate, dollar exchange rate, yuan exchange rate have a significant effect on transaction volume, while Shanghai Composite index has no significant effect on transaction volume. Simultaneously, BI interest rate, dollar exchange rate, yuan exchange rate, and Shanghai Composite index have a significant effect on the LQ45 stock index with transaction volume as an intervening variable.

scholarly journals Analysis of Determinants of Stock Transaction Volume and Its Effect on the LQ45 Stock Price Index on IDX 2010-2020 Period

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Mohammad Noor Salim ◽  
◽  
Gabriel Anugrah Pratama
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Stock Price ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Stock Index ◽  
Company Performance ◽  
Dollar Exchange Rate

The LQ45 stock index is a stock index that concerns investors in monitoring the development of company performance that is included in the LQ45 index calculation. Several factors that can cause the movement of the LQ45 stock index include BI interest rates, exchange rates, and global stock exchanges such as the Shanghai Composite Index. The study was conducted to determine the effect of the BI interest rate, dollar exchange rate, yuan exchange rate and the Shanghai Composite Index (SSE) on the LQ45 stock index. The study was conducted using 121 samples consisting of monthly data for all variables from 2010 to 2020. Data analysis was performed using multiple linear regression analysis techniques. The results show the BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously have a significant effect on the LQ45 stock index. BI interest rate and yuan exchange rate partially have a significant effect on the LQ45 stock index. The dollar exchange rate and Shanghai Composite index have no significant effect on the LQ45 stock index. The BI interest rate, dollar exchange rate, yuan exchange rate and Shanghai Composite index simultaneously affect volume of transactions. Partially, BI interest rate, dollar exchange rate, yuan exchange rate have a significant effect on transaction volume, while Shanghai Composite index has no significant effect on transaction volume. Simultaneously, BI interest rate, dollar exchange rate, yuan exchange rate, and Shanghai Composite index have a significant effect on the LQ45 stock index with transaction volume as an intervening variable.

scholarly journals Factors Affecting Tax Aggressiveness In Plantation Companies Listed 2014-2017

2019 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Linda Ramadhani ◽  
Fika Azmi
Keyword(s):  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Managerial Ownership ◽  
Factors Affecting ◽  
Tax Aggressiveness ◽  
Analysis Technique ◽  
Fixed Assets ◽  
Positive Effect

This study aims to obtain empirical evidence about the factors that influence tax aggressiveness. The independent variables in this study are Corporate governance, Inventory Intensity and Fixed Assets Intensity. The sample in this study were plantation sector companies listed on the Indonesia Stock Exchange in 2014-2017. The sampling technique used purposive sampling method, and obtained data as many as 32 samples. The data analysis technique uses multiple linear regression analysis. The results showed that independent commissioners and inventory intensity did not affect to tax aggressiveness, institutional ownership had a positive effect to tax aggressiveness and managerial ownership and the intensity of fixed assets negatively affected to tax aggressiveness.

scholarly journals THE ANALYSIS OF FACTORS AFFECTING THE CAPITAL STRUCTURE ON LISTED MINING COMPANIES IN INDONESIA STOCK EXCHANGE

JEMBATAN ◽  
2018 ◽  
Vol 15 (1) ◽  
pp. 49-60
Author(s):  
Charaka M Nandatama ◽  
Sulastri Sulastri ◽  
Taufik Taufik
Keyword(s):  
Capital Structure ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Sales Growth ◽  
Factors Affecting ◽  
Mining Companies ◽  
Research Population ◽  
The Capital Structure

The objectives of this research are to examine the effect of Assets Growth,Likuidity, Assets Structure, and Sales Growth influence simoultaneously and partiallyon Capital Structure. Research conducted at mining companies that listed on IndonesiaStock Exchange period 2012- 2015. The research population was 41 companies, with thesample of 14 companies with sampling using purposive sampling technique. Theanalytical method used is multiple linear regression analysis, which previously testedwith the classical assumption.The result showed that the Assets Growth, Likuidity, Assets Structure and SalesGrowth influence simultaneous on the Capital Structure. The research also revealedthat, Assets Growth, Likuidity, Assets Structure and Sales Growth influence partiallynegative significant on the Capital Strucuture. On the other hand, R-Square valueamnounted at 32.6%, its mean that 32,6% movement of Capital Structure can bepredicted from the movement of the four independent variables.Keywords : capital structure, assets growth, likuidity, assets structure, sales growth

scholarly journals PENGARUH KUPON, MATURITAS, LIKUDITAS DAN SUKU BUNGA TERHADAP YIELD OBLIGASI KORPORASI

2019 ◽  
Vol 8 (10) ◽  
pp. 5966
Author(s):  
Kadek Ary Asta Pramita Sari ◽  
Henny Rahyuda
Keyword(s):  
Data Analysis ◽  
Interest Rate ◽  
Stock Exchange ◽  
Participant Observation ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Corporate Bond ◽  
Bond Yields

The performance of bonds reflect from bond yields that are useful as information in making investment decisions. The purpose of this study was to determine the effect of  coupon, maturity, liquidity and  interest rate  of the corporate bond yields This research was conducted on all companies that issue corporate bonds and are listed in Indonesian Stock Exchange on 2015-2017 periods. with a total sample of 44 bonds from 23 companies through non purposive sampling technique. Data analysis technique used multiple linear regression analysis and methods of data collection in this study using non-participant observation. Based on data analysis indicate that coupon, maturity, and  interest rate partially positive and significant effect on bond yields. By contrast, liquidity partially negative and significant effect on bond yields. Keyword : coupon, maturity, liquidity and  interest rate , bond yields    

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Indeks Harga Saham Gabungan (Studi pada Indeks Harga Saham Gabungan di Bursa Efek Indonesia Periode 2014-2018)

2019 ◽  
Vol 8 (2) ◽  
pp. 75
Author(s):  
Rina R. Mamahit ◽  
Tinneke M. Tumbel ◽  
Joanne V. Mangindaan
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Negative Effect ◽  
The Exchange Rate

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.

scholarly journals The Effect of USD/IDR Exchange Rate, Interest Rate, and World Oil Price To Jakarta Composite Index (JCI)

2019 ◽  
Vol 3 (2) ◽  
pp. 191
Author(s):  
Ummu Salma Al-Azizah ◽  
Yusdi Daulay ◽  
Naufal Krisnanto
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Exchange Rate

This research aims to investigate effect of selected macroeconomic variables, i.e., USD/IDR exchange rate, interest rate, and world oil price to indonesia composite index at the indonesia stock exchange (IDX). This paper examine the direct effect of selected macroecomonic variable on Indonesia Composite Index. The study used time series data from the 2012-2017. By using an regression technique analysis, the result from showed that simultaneously the exchange rate, interest rate, and world oil price have a significant effect on Indonesia Composite Index. Partially, only the exchange rate has a significant effect on Indonesia Composite Index, interest rate and world oil price have no significant effect on Indonesia Composite Iindex. The amount of influece caused by the three variables is 58% and the rest is explained by other variables.

scholarly journals THE INFLUENCE OF MACROECONOMIC VARIABLES TOWARD JAKARTA COMPOSITE INDEX ON INDONESIA STOCK EXCHANGE

2018 ◽  
Vol 14 (2) ◽  
Author(s):  
Rifqi Nur Wahyudi
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Money Supply ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Composite Index ◽  
Multiple Linear Regression Analysis ◽  
Domestic Product ◽  
Macroeconomic Variables

This study aimed to get empirical evidence macroeconomic variable : money supply, gross domestic product, inflation, BI Rate, exchange rate IDR/USD toward JCI. This research conducted by examine the data in the period January 2007 – December 2016. The research technique is using multiple linear regression analysis. The result showed that the Money Supply and GDP positive but not significant effect, inflation negative and not significant,BI Rate and exchange rate IDR / USD negative and significant effect on the Jakarta Composite Index. Keywords: Money Supply, Gross Domestic Product, Inflation, BI Rate, Exchange Rate IDR/USD, JCI

scholarly journals FACTORS AFFECTING AUDIT DELAY IN BANKING COMPANIES IN INDONESIA

2021 ◽  
Vol 6 (1) ◽  
pp. 44
Author(s):  
Anggoro Sugeng ◽  
Asmi Trisna Puspita ◽  
Ku Abdul Muhaimin Yusof
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Firm Size ◽  
Audit Committee ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Factors Affecting ◽  
Size Variable

This study aims to determine the factors that cause audit delay in banking companies listed on the Indonesia Stock Exchange. The variable that distinguishes this research from the others is the audit committee variable as a new indicator. Overall, there are 5 assessment indicators in this study consisting of firm size variable, company profit/loss variable, auditor opinion variable, audit committee variable, and KAP size variable. The population consists of banking companies in Indonesia that are listed on the Indonesia Stock Exchange with a sample of 30 companies with a sampling technique of purposive sampling. The analysis used in this study is multiple linear regression analysis, which is in the form of panel data. This study indicates that the variables of KAP size and company profit/loss have a significant effect on audit delay. While the variables of the audit committee, auditor's opinion, and firm size have no significant effect on audit delay.

scholarly journals EFFECTS OF BOND’S INTEREST RATE, RATING AND MATURITY TIME TOWARD BOND’S YIELDS

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ayu Mega ◽  
Widayat Widayat
Keyword(s):  
Interest Rate ◽  
Real Estate ◽  
Interest Rates ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Simultaneous Test ◽  
Bond Yield ◽  
Test Result

This study aims to determine the effect of interest rates, bond rate, and the maturity time of bond yields on property and real estate companies listed on the Indonesia Stock Exchange in 2013-2018. This type of research is in the form of associative and using a quantitative approach. The research population is property and real estate companies and sampling technique using purposive sampling. Based on the current criteria obtained, 13 companies and 38 bonds that became the research sample. Data analysis technique using Multiple Linear Regression Analysis. The partial test result shows that the variable interest rate and maturity time is positive and significant, while the variable rating bond is negative and significant. The simultaneous test result indicates that the variable of interest rate, bond rating, and maturity time influence simultaneously to the bond yield.

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