scholarly journals The Price-Volume Relationship In The Chilean Stock Market

Author(s):  
Ravindra R. Kamath

This study focuses on the econometric relations between daily returns and daily trading volume changes on the Santiago Stock Exchange of Chile. To meet this task, the study utilizes the data of the Selective Stock Price Index, IPSA, from January, 2003 through October, 2006. A significant contemporaneous relation is found between volume and returns. The evidence also indicates that the said relation is asymmetric. Moreover, the results support the notion that the trading volume makes the market move. The causality test results provide a clear evidence of daily returns Granger causing daily trading volume changes in the Chilean equity market.

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.


2021 ◽  
Vol 3 (1) ◽  
pp. 75-81
Author(s):  
Andini Nurwulandari

Gross Domestic Product (GDP) growth is a constructive indicator and vice versa. A rise in GDP affects the buying power of citizens positively. It will therefore raise demand for the commodity. A surge in the market for goods raises the firm's earnings and may also increase the stock price. The analysis was designed to examine the impact on composite stock price index using data from time series from January 2018 to December 2020 of Rupiah Exchange rate, Nikkei 225 Index, and BI Rate. Multiple linear regression is used in the mixed Stock Price Index scheme to identify the relevant influence of BI on the Rupiah and Nikkei 225. The test results show that the BI rate has a significant positive effect on the Rupiah exchange rate for the composite stock pricing index. Meanwhile, the Nikkei 225 Index has no impact on the Composite Stock Price Index.


2020 ◽  
Vol 9 (1) ◽  
pp. 13-26
Author(s):  
Titis Nistia Sari ◽  
Dhea Zatira ◽  
Gerry Ganika

This article is to examine the effect of the BI Rate, Inflation and Exchange Rates on the stock price indexes of the financial sub-sectors listed on the Indonesia Stock Exchange in the period November 2015 to October 2019. Data analysis techniques used in this study are regression models with quantitative methods. Test results prove that the negative BI Rate for IHSK and H1 is accepted. Negative inflation in FSPI and H2 is accepted. Positive exchange rates on the IHSK and H3 are accepted. The BI Rate, Inflation, and Exchange Rates received simultaneously against IHSK and H4 are accepted. The magnitude of the effect on R squared was 54.6%, while the remaining 45.4% was accepted by other variables not approved in this study. Keywords: BI Rate, Inflation, Exchange Rates, Financial sub-sector Stock Price Index (FSPI)   Artikel ini adalah untuk memeriksa dampak suku bunga BI, nilai inflasi dan nilai tukar, terhadap harga harga dibursa saham pada sub sector keuangan yang terdaftar di bursa saham Indonesia untuk periode November 2015 sampai dengan Oktober 2019, tehnik penganalisaaan data yang digunakan pada studi ini adalah model mundur dengan metode kuantitatif. Hasil tesnya membuktikan bahwa suku bunga negatif BI untuk IHSK dan H1 dapat diterima. Inflasi negatif pada FSPI dan H2, dapat diterima.Nilai tukar yang positif pada IHSK dan H3 dapat diterima. Suku bunga BI, inflasi dan nilai tukar yang diterima secara berkesinambungan terhadap IHSK dan H4 dapat diterima. Daya Tarik dari dampak pada kotak R adalah 54.6% sementara sisanya yang 45.4% diterima oleh variabel lain yang tidak dibahas pada studi ini. Kata Kunci: Suku Bunga BI, Inflasi, Nilai Tukar, Indeks Harga Saham sub sektor Keuangan (IHSK)


2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Maulana Majied Sumatrani Saragih ◽  
Sarman Sinaga ◽  
Faisal Faisal ◽  
Rico Nur Ilham ◽  
T Nurhaida

The COVID-19 pandemic has hit various sectors, including the stock market where many people are hesitant to invest in stocks. Many industries have been affected by Covid-19, where since March 2020 the Indonesia Stock Exchange Composite Stock Price Index (IHSG) has decreased because many investors sold their shares, but since the third week of May 2020 to early June 2020 has shown an increase indicating stock trading has begun to show improvement. This study aims to analyze which sector stocks are still able to survive during the COVID-19 pandemic, by using stock trading volume data, Composite Stock Price Index (IHSG), weekly and monthly market capitalization values with a sample of 20 stocks - the highest stocks. based on sales volume and transaction value on the Indonesian stock exchange for the period March 2020 to June 2020 obtained from the Financial Services Authority (OJK) weekly report and the Indonesia Stock Exchange (IDX) Monthly Report. The results show that during the COVID-19 pandemic, investors can still get benefits in investing in stocks if every decision made by these investors is supported by careful calculations.


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.


Author(s):  
Ardi Kurnia Cahyadi ◽  
Harti Budi Yanti

<p class="Style2">This study examined the effect of the movement of Asian stock markets of Indonesia stock exchange. The data used is the composite stock price index data from the Japanese stock market, Hong Kong, Singapore and Indonesia. The data used are monthly data covering the period July 1997 to June 2008. To find out if there is a relationship of each stock on the stock exchange Indonesia Pearson correlation coefficient is used. Furthermore, to know the influence of other movements ofthestock exchanges Indonesia Granger Causality test is used. This research provides empirical evidence on the theory of contagion effect, by showing the influence of Asian stock markets of Indonesia stock market and vice versa. Testing the Granger test succeeded in proving the existence of a causal relationship between stock market Indonesia with Singapore stock exchange.</p>


ProBank ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 17-21
Author(s):  
Heriyanta Budi Utama ◽  
Florianus Dimas Gunurdya Putra Wardana

The purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015. The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression. The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share priceThe purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015.The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression.The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share price


2018 ◽  
pp. 1870
Author(s):  
Ika Putri Adnyani ◽  
Gayatri Gayatri

This research is conducted on all acquisition companies that conduct acquisitions listed on Indonesia Stock Exchange 2011-2016 period. Sampling method using purposive sampling. The number of samples of this research is 50 companies. The market reaction in this study used abnormal return and trading volume activity. The testing of information content will be done by looking at differences in cumulative abnormal return and the average trading volume of shares five days before and five days after the announcement of the acquisition. Data analysis technique used is paired sample t-test. Based on the test results, found there are significant differences in the abnormal return of the acquirer company before and after the announcement of the acquisition. However, there is no difference in trading volume activity of the acquirer's stock before and after the acquisition announcement   Keywords: acquisitions, stock market, abnormal return, trading volume activity


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).


JEJAK ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 29-48
Author(s):  
Berto Usman ◽  
Nega Muhabaw Kassie ◽  
Fitra Wahyudi

This research investigates the existence of stock market integration between Turkey and the Eurozone. In this study, the performance of Turkey’s stock exchange is proxied by the BIST100, and the EURO STOXX50 is employed as a proxy for the Eurozone index. We hypothesize that there is a dynamic relationship between Turkey and the Eurozone. Methodologically, our research was conducted by employing monthly time series data obtained from EIKON datastream International. In order to demonstrate the extent of equity market integration between Turkey and Eurozone, a vector autoregression model (VAR) was utilized. According to the results, there is no co-integration between these two equity markets. This is in line with the output of residual matrix test, where the correlation between these two market indices was found to be low. However, a Granger causality test indicated that there was a low one-way contribution from Turkey to the Eurozone index during the observation period.


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