scholarly journals Analisis Efek Ramadhan Terhadap Abnormal Return dan Trading Volume Activity pada Perusahaan Yang Masuk dalam Jakarta Islamic Index (JII) di Bursa Efek Indonesia Periode 2014-2018

AL-TIJARY ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 37-47
Author(s):  
Ahmad Faih ◽  
Rohmatun Nafiah

This study is a study of events aimed at knowing the effects of Ramadhan, to companies listed on the Jakarta Islamic Index on the Indonesia Stock Exchange period 2014-2018, using abnormal return and trading volume activity indicators. This study uses secondary data in the form of daily stock price index for the period 2014-2018 , Composite Stock Price Index (IHSG) and trading volume, with the population of companies entering the Jakarta Islamic Index on The Indonesian Stock Exchange , The statistical test used to test the hypothesis is the normality test, and the paired sample t-test. Result of T-test on Abnormal Return between year 2014-2018 know that there is no significant influence between Ramadhan month to abnormal return from year 2014 until 2018. While for T-test on trading volume activity between year 2014 until 2018 know that only in 2014, 2015, and 2017, 2018 there are significant influence which means the market responds to the event. The result of the test of Ramadhan event has the information even though it does not happen in every year of the research period, this is because Ramadhan is a routine event occuring in Indonesia so investors have been able to predict how the stock movemonts in Indonesia Stock Exchange.

2020 ◽  
Vol 4 (3) ◽  
pp. 201-214
Author(s):  
Mega Barokatul Fajri ◽  
Wihandaru Wihandaru ◽  
Adi Lukman Hakim

This research as a purpose to analyze the effect of trading volume activity and external factors such as exchange rates, BI Rate to composite stock price index listed on the Indonesian Stock Exchange. The object of this research is on the Indonesia Stock Exchange and Bank Indonesia. In this study, the data used were time-series data and the sampling method used was purposive sampling. The method of analysis used in this study is multiple regression models. Based on the analysis that has been done, it is known that the trading volume activity and BI Rate has no effect on the composite stock price index, while the exchange rate has a negative effect on the composite stock price index.


2020 ◽  
Vol 9 (3) ◽  
pp. 188
Author(s):  
Yunita Dewi Safitri ◽  
Robiyanto Robiyanto

Changes in the situation that move very quickly on the commodity market have an impact on financial markets, one of which is the stock market in Indonesia. Therefore this study aims to examine the dynamic correlation between the movement of world oil prices and the Sectoral Stock Price Index listed on the Indonesia Stock Exchange (IDX). The data used is obtained from secondary data in the form of daily closing price data for world oil prices and Sectoral Stock Price Index from January 2017 to June 2020. The analysis technique used is Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH), due to previous studies mostly using a static approach. The results of this study show that the DCC-GARCH value between world oil prices (Brent and WTI) and Sectoral Stock Price Index tends to be very weak. A negative dynamic correlation was also found in the Consumer Goods Sector. This research can be a reference for investors who want to invest stocks in Indonesia by looking at the correlation between world oil prices and the Sectoral Stock Price Index.


2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Latanza Hanum Kartikasari

The January Effect occurred as a result companies that have a strategy to improve it is financial statements. The company will sell stocks that have low values at the end of the year and sell shares favorable to attract investment back at the beginning of next year. January Effect the anomaly that serves low stock Return occurred in December and the highest Return ing January. The purpose of this research was to examine whether there is a phenomenon January Effect on Effect Indonesia Stock Exchange and Shanghai Stock Exchange in Period 2011-2013The variables used in this study are the Return, Abnormal Return and trading volume activity. This research was conducted at the company that is static between years 2011-2013 were in a group LQ45 and SSE50 samples that meet the criteria. The model used is the determination of the sample with purposive sampling method. The tools used are Test One-Way ANOVA and Paired Sample (t-test). The results of analysis showed that look Abnormal Return  stock and Return  there is a difference between January to January in addition to the Indonesia Stock Exchange and Shanghai Stock Exchange by using One-Way ANOVA, while the Paired Sample (t-test) on the Shanghai Stock Exchange there the difference between January to be for January. And for testing of trading volume activity, The January Effect does not occurred in the Indonesia Stock Exchange and Shanghai Stock Exchange.


2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Dwi Purwaningsih ◽  
Tina Sulistiyani

This study aims to determine the effect of the money supply, inflation, and SBI interest rates partially and simultaneously on the composite stock price index on the Indonesia Stock Exchange (BEI) in 2012-2014, the type of data and data sources used in this study are data secondary data from the Bank Indonesia Annual Report, the Indonesian Ministry of Trade Institute, and Exchange Corner Financial Data. To analyze the data of this study used a multiple linear regression analysis tool that aims to determine the effect of the money supply, inflation, and SBI interest rates on the Composite Stock Price Index using SPSS statistical tools. Based on this research, the research method used in the first hypothesis is the Statistical t test and the second is the Statistical F test. Based on the results of this study indicate that the variable Money Supply has a significant effect on the Composite Stock Price Index. For the inflation variable does not have a significant effect on the Composite Stock Price Index. And the SBI Interest Rate variable has a significant effect on the Composite Stock Price Index. Together these three independent variables (Amount of Money Supply, Inflation, SBI Interest Rates) have a significant influence on the dependent variable (Composite Stock Price Index).


2017 ◽  
Author(s):  
Imaduddin Murdifin ◽  
Suriyanti Andi Mangkona

This study aimed to examine the effect of Composite Stock Price Index (Composite Stock Price Index (CSPI)), the exchange rate, and interest rates on stock prices of mining companies listed in Indonesia stock Exchange. This research is associative with quantitative approach. Data were analyzed using panel data regression. The data used is secondary data such as financial data, and the percentage of monthly interest rates over the last three years. The collection of data taken with documentation techniques derived from published reports of Bank Indonesia and the Indonesia Stock Exchange. Sampling was done by purposive sampling with the number nine companies. The results showed that the CSPI and interest rates but not significant positive effect on stock prices. The rupiah exchange rate and significant negative effect on stock prices. Simultaneously the composite stock price index, the rupiah exchange rate, and interest rates have a significant effect on stock prices of mining companies listed on the Indonesia Stock Exchange


2020 ◽  
Vol 1 (1) ◽  
pp. 48-58
Author(s):  
Nina Atrina Kudusia ◽  
Nilawaty Yusuf ◽  
Muliyani Mahmud

This Research aims to find out the difference between the average of abnormal return and trading volume activity of the transportation companies’ stocks listed in Indonesia Stock Exchange, a period 2014-2018 before and after Ramadhan. The research method is a quantitative method. Th kind of data used is secondary data. The sample is 11 transportation companies listed ini Indonesia Stock Exchange during the period of 2014-2018, while the sampling technique applies purposive sampling. The findings show that there is no difference on the average of abnormal return before and after Ramdahan, and there is no difference on the average of trading volume activity in 2015 and 2018, whereas in 2014, 2016, and 2017 there is a difference on the average of trading volume activity. Meanwhile, the abnormal return and trading volume activity simultaneously influence toward Ramadhan effect with the result of the coefficient determination of 50%, it means that 50% of Ramadhan effect variable is explained by return and trading volume activity.


2021 ◽  
Vol 8 (1) ◽  
pp. 48
Author(s):  
Arif Surahman

ABSTRAK Investasi pada instrumen saham memerlukan analisa yang akurat untuk terhindar dari kerugian. Asmara dan Suarjaya (2018) berhasil menemukan bahwa indikator-indikator makro berpengaruh signifikan terhadap fluktuasi harga IHSG. Pergerakan indeks harga saham sebuah negara terpengaruh oleh kondisi makro perekonomian dari negara tersebut (Deitiana, Stella, 2009). Kondisi perekonomian  makro dari suatu negara saling pengaruh-mempengaruhi antara satu negara dengan negara lainnya, terutama apabila negara tersebut sudah sangat maju dan memiliki ekonomi yang kuat. Oleh karena itu, bisa diasumsikan bahwa Indeks Harga Saham Gabungan dari negara-negara yang sudah maju dapat turut mempengaruhi fluktuasi dari IHSG. Hal ini sebagaimana dibuktikan oleh hasil penelitian Tamara (2012) yang menemukan bahwa terdapat pengaruh yang signifikan antara Dow Jones Industrial Average, Shanghai Stock Exchange Composite Index dan Straits Times Index terhadap fluktuasi Indeks Harga Saham Gabungan. Penelitian sebelumnya yang dilakukan tahun 2019 oleh Deitiana dan Stella dengan menggunakan data harga penutupan mingguan dari Indeks Dow Jones, Nikkei 225, Kospi danShanghai Composite Index juga berhasil menemukan hubungan pengaruh yang signifikan baik secara simultan maupun parsial terhadap pergerakan IHSG.Penelitian ini menggunakan regresi linier sederhana untuk menyelidiki pengaruh indeks Nasdaq, S&P dan harga dari quotasi dolar terhadap Return saham Telkom. Hasil dari penelitian ini menemukan bahwa Indeks Nasdaq dan harga quotasi Dolar terhadap Rupiah dapat mempengaruhi tingkat imbal hasil saham Telkom secara signifikan dengan nilai signifikansi berada dibawah 5%. Kata Kunci: Return, Saham, Telkom, Nasdaq, S&P, Dolar.  ABSTRACT Investment in stocks recquire accurate analysis to avoid loss. Asmara and Suarjaya (2018) found that macro economic indicators of a country has a significant influence towards the fluctuations of IHSG prices. Deitana & Stella (2019) also found the same thing. The Macro Economic conditions of a country has a reciprocal influnces between a country and others. Because of that, it can be assumed that stock indexes from an advanced country can also influenced  the fluctuations of Indonesia's Stock Price Index. This assumption has been proven by the research which has been conducted by Tamara (2012)  which found that there is a significant influence between Dow Jones Industrial Average, Shanghai Stock Exchange Composite Index and Straits Times Index towards the fluctuations of Indonesia Stock Price Index (IHSG). Previous research that were conducted in 2019 by Deitiana and Stella by using weekly closing price of  Dow Jones Index, Nikkei 225, Kospi and Shanghai Composite Index also has found a significant connections either simultaneously nor partially to the movement of indonesia stock index prices. This research are conducted by using linier regression to investigate the influence of the return of  Nasdaq, S&P and Dollar to Rupiah quotations towards the Return of Telkom stock price. The results of this research concluded that Nasdaq Indices and Dolar price quotations towards Rupiah's can significantly influenced the return of telkom stock price with a confidence level that are below 5%. Keyword : Return, Stock, Telkom, Nasdaq, S&P, Dolar


2019 ◽  
Vol 2 (2) ◽  
pp. 61-69
Author(s):  
Andini Nurwulandari

The stock market plays a critical role as a means of finance for the business community as an agency that promotes the execution of national growth. On the other hand, a capital market is also a place of investment for the community, including medium and small investors. This research uses a qualitative research type. Stock values, irregular returns, and trading volume behavior in members of the Indonesia Stock Exchange Index are the focus of this study. Primary data from the IDX was used as the database. Secondary data are used in this analysis. Closing values, the Indonesia Stock Exchange stock index, daily stock trading volume, and the number of outstanding shares were among the data sources used in this analysis. A paired sample t-test was used to test hypotheses. The results indicate a significant increase in overall stock price and market volume before and after the ex-dividend period, but no difference in the average abnormal return.


Author(s):  
Imaduddin Murdifin ◽  
Suriyanti Andi Mangkona

<p>This study aimed to examine the effect of Composite Stock Price Index (Composite Stock Price Index (CSPI)), the exchange rate, and interest rates on stock prices of mining companies listed in Indonesia stock Exchange. This research is associative with quantitative approach. Data were analyzed using panel data regression. The data used is secondary data such as financial data, and the percentage of monthly interest rates over the last three years. The collection of data taken with documentation techniques derived from published reports of Bank Indonesia and the Indonesia Stock Exchange. Sampling was done by purposive sampling with the number nine companies.  The results showed that the CSPI and interest rates but not significant positive effect on stock prices. The rupiah exchange rate and significant negative effect on stock prices. Simultaneously the composite stock price index, the rupiah exchange rate, and interest rates have a significant effect on stock prices of mining companies listed on the Indonesia Stock Exchange. </p>


2017 ◽  
pp. 72-87
Author(s):  
Marta K Gulo ◽  
Kornel Munthe

This study aimed to analyze the influence of the Domestic Interest Rate and Foreign Interest Rate and Foreign Exchange Rate Rupiah against the Composite Stock Price Index at the Indonesia Stock Exchange. Population which is the object of this study is the period of 1952-2012 the entire value of JCI. The sample used is the period of 2010-2012 the entire value JCI listed in Indonesia Stock Exchange. The data collected is secondary data with engineering documentation. The analytical method used is SEM (Structural Equation Modeling) which is operated through a program AMOS 22. From the analysis and discussion shows that the Domestic Interest Rate and Interest Rate Foreign Affairs has a significant effect on Exchange-exchange amount, partially negative effect Domestic Interest Rate Interest Rate Foreign and has a positive influence on Exchange-exchange amount. While the Exchange-exchange Rupiah positive effect on Composite Stock Price Index at the Indonesia Stock Exchange.


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