Stock Trading Volume Research Articles

Sustainability-related disclosure rules and financial market indicators: Searching for interconnections in developed and developing countries

In today’s fast-paced business environment, integrating sustainability into financial decision-making has been a key driver of change. As stakeholders increasingly demand greater corporate transparency and accountability, regulatory bodies have stepped in to ensure that sustainability reporting is standardized and robust. This paper aims to establish the relationship between the sustainability-related disclosure rules and the dynamic indicators of the financial market. The object of the study is 74 countries of the world, which are grouped into developed and developing countries. The time period is 2021, for the stock market capitalization indicators – 2020, as the most recent years with available data. The research methods are normality tests (Shapiro-Wilk and Shapiro-Francia test), comparison methods (Student’s t-test and Mann-Whitney U test, regression analysis with dummy variables), linear and non-linear correlation and regression analysis (logarithmic, polynomial). The results obtained confirmed that the sustainability-related disclosure rules are higher in developed countries than in developing ones. At the same time, in developed countries, the growth of such requirements affects the increase in stock price volatility, stock market capitalization, foreign direct and portfolio investments. For developing countries, there is also an increase in the stock market capitalization, portfolio investments and the volume of stock trading. Recognizing these trends can benefit both financial market regulators and participants to encourage the formation of a transparent and efficient financial market, thereby mitigating the problems associated with information asymmetry.

Pencabutan Status Pandemi COVID-19 oleh Presiden Jokowi Terhadap Saham-Saham JII di Bursa EfekIndonesia

Previous research discovered that the stock exchange responded to the announcement of a government policy related to the COVID-19 pandemic. The purpose of this research is to determine the impact of President Jokowi's announcement of the revocation of the COVID-19 pandemic status on stocks that are members of the Jakarta Islamic Index (JII). The event study methodology was applied to 30 JII stocks that adhere to Islamic Sharia, have high liquidity, and a large market capitalization. This study discovered that there were abnormal returns before and after President Jokowi announced the revocation of the COVID-19 pandemic status. Furthermore, a difference in stock trading volume with the average before and after the announcement was discovered. This indicates that this event contains information content, implying that investors should pay close attention to government policy announcements regarding the pandemic, which can be used as a factor in making investment decisions.

REAKSI PASAR PADA AKSI KORPORASI STOCK SPLIT EMITEN DI BURSA EFEK INDONESIA

Stock split is one of the corporate activities used to increase stock liquidity. The content of information contained in the company's stock split corporate action still shows that the phenomenon related to the stock split shows inconsistent results. This study aims to obtain empirical evidence by analyzing abnormal returns and stock trading volume before and after the stock split announcement. The research was conducted on companies listed on the Indonesia Stock Exchange in 2021 with a data collection technique using the purposive sampling method and 8 companies were obtained. The data used is secondary data from the official website of the Indonesia Stock Exchange. The research data analysis tool used the Wilcoxon signed rank test with IBM SPSS version 27 through an even study approach with an observation period of 5 days before and 5 days after the stock split event. The results of this study indicate that there is a market reaction as evidenced by a significant difference between abnormal returns and stock trading volume before and after the stock split announcement.
 Keywords: Stock Split; Abnormal Return

THE IMPACT OF COVID-19, MARKET CAPITALIZATION, STOCK TRADING VOLUME, AND LARGE-SCALE SOCIAL RESTRICTIONS ON STOCK RETURNS

The purpose of this research is to determine the effect of Covid-19, market capitalization, stock trading volume and large-scale social restrictions on stock returns. This research uses agriculture companies and property, real estate and building construction companies listed in Indonesian Stock Exchange from March 2, 2020 to December 31, 2020. The Covid-19 measured by growth of positive confirmed cases. The results of research in the agriculture sector show that growth of positive confirmed cases has a negative significant influence on stock return, market capitalization has no significant influence on stock return, stock trading volume and large-scale social restrictions have a positive significant influence on stock return. The results of research in the property, real estate and building construction sector show that growth of positive confirmed cases has no significant influence on stock return, market capitalization has a negative significant influence on stock return, stock trading volume and large-scale social restrictions have a positive significant influence on stock return.

THE IMPACT OF COVID-19, MARKET CAPITALIZATION, STOCK TRADING VOLUME, AND LARGE-SCALE SOCIAL RESTRICTIONS ON STOCK RETURNS

The purpose of this research is to determine the effect of Covid-19, market capitalization, stock trading volume and large-scale social restrictions on stock returns. This research uses agriculture companies and property, real estate and building construction companies listed in Indonesian Stock Exchange from March 2, 2020 to December 31, 2020. The Covid-19 measured by growth of positive confirmed cases. The results of research in the agriculture sector show that growth of positive confirmed cases has a negative significant influence on stock return, market capitalization has no significant influence on stock return, stock trading volume and large-scale social restrictions have a positive significant influence on stock return. The results of research in the property, real estate and building construction sector show that growth of positive confirmed cases has no significant influence on stock return, market capitalization has a negative significant influence on stock return, stock trading volume and large-scale social restrictions have a positive significant influence on stock return.

ANALYSIS OF DIFFERENCE IN STOCK PRICE, MARKET CAPITALIZATION, AND TRADING VOLUME ACTIVITY BEFORE AND DURING COVID-19

The aim for this study is to find whether if there is a difference of stock price, market capitalization, and trading volume before and during COVID-19 pandemic on agriculture and mining sector. The data used for this research is taken from January 1st until April 30th 2020. The sampling technique used on this study was purposive sampling and processed using SPSS 25. The result shows that there are a difference between stock price before and during COVID-19, market capitalization before and during COVID-19, and trading volume before and during COVID-19 on both agriculture and mining sector.

ANALYSIS OF DIFFERENCE IN STOCK PRICE, MARKET CAPITALIZATION, AND TRADING VOLUME ACTIVITY BEFORE AND DURING COVID-19

The aim for this study is to find whether if there is a difference of stock price, market capitalization, and trading volume before and during COVID-19 pandemic on agriculture and mining sector. The data used for this research is taken from January 1st until April 30th 2020. The sampling technique used on this study was purposive sampling and processed using SPSS 25. The result shows that there are a difference between stock price before and during COVID-19, market capitalization before and during COVID-19, and trading volume before and during COVID-19 on both agriculture and mining sector.

Analysis of Investor Rationality Towards Stock Price Index and Optimal Portfolio in Go Public Company Shares on The Indonesian Stock Exchange

This study aims to determine the existence of investor rationality in choosing optimal stocks and portfolios by using a single index model on company shares listed on the IDX in 2018. The type of research used is analytic research. This analytic study aims to draw general conclusions and prove hypotheses about the average difference of two independent samples. The data used are secondary data obtained from information released by the Indonesia Stock Exchange including the daily closing stock price and the daily closing stock price index of listed companies. The sample selection method used is purposive sampling, where the sample selection is done on the basis of the researchers' consideration. The number of samples used in this study were 30 samples. The results showed that there was investor rationality towards optimal ownership of shares and portfolios by using a single index model on stocks listed on the Indonesia Stock Exchange during the weakening period of the rupiah in 2018 (t count value of 2.16 or greater than t value of α of 2.13). This can be seen from the difference in the average stock trading volume where the average trading volume of the optimal portfolio candidate shares is greater than the average trading volume of shares not the optimal portfolio candidate.
 Keywords : Investor Rationality, Share Ownership and Optimal Portfolio

PENGARUH VOLUME PERDAGANGAN SAHAM, TINGKAT INFLASI DAN NILAI TUKAR TERHADAP VOLATILITAS HARGA SAHAM SUB SEKTOR BATU BARA YANG TERDAFTAR DI BURSA EFEK INDONESIA

<em>This study aims to analyze the effect of stock trading volume, inflation rate and exchange rate on the volatility of stock prices in the coal, sub-sector listed on the Indonesia Stock Exchange. The population of this study is companies listed in the coal, sub-sector on the IDX for the 2011-2020 period. The sampling method used purposive sampling. The results showed that partially the volume of stock trading and the exchange rate had a significant positive effect on stock price volatility, while the inflation rate variable had a significant negative effect on stock price volatility. Trade volume, inflation rate and exchange rate simultaneously have a significant effect on stock price volatility</em>

When financial advice rocks the market

We document the impact of recommendations by a hugely influential Chilean pension advisor, H&L, on pension investments by individuals, domestic stock market outcomes, and pension fund manager investment strategies. Following H&L's retirement portfolio recommendations, pension investors shifted amounts that, in a week, often exceeded 100% of monthly domestic stock trading volume. The market believed the recommendations—domestic stock prices responded, but they did so without trade: the massive portfolio shifts did not generate abnormally-high trading volume. To accommodate H&L's impact, pension managers adjusted portfolio compositions, making them more similar, and shifted holdings of liquid assets rather than domestic stocks.

Analisis Pengaruh Stock Split terhadap Harga Saham dan Volume Perdagangan Saham pada Perusahaan Go Public di BEI Periode 2018-2021


 This study aims to determine the effect of stock splits on stock prices and stock trading volume in companies listed on the Indonesia Stock Exchange. The technique in this study uses samples from purposive sampling by differentiating companies taking actions from stock splits during the 2018-2021 period. The population in this study are companies that carry out stock split actions that are listed on the Indonesia Stock Exchange (IDX), totaling 34 companies. The period in this study was 7 days before and 7 days after the stock split. Data analysis used the normality test using One-sample Kolmogorov Smirnov to test whether the data was normally distributed or not. Data that is normally distributed uses the Paired Sample T-test and data that is not normally distributed uses the Wilcoxon Signed Ranked Test. The results of this study indicate that there is no difference in stock prices after the stock split and there is a difference in the volume of stock trading after the stock split.
 Keywords: Stock Split, Stock Price, Trading Volume

The Effect Of Retained Earnings On Trading Volume Activity (TVA) With Return On Assets As A Moderation Variable

Trading Volume Activity (TVA) indicates the amount of stock trading volume in a company's stock market. Companies with good stock volume and financial performance can increase stock trading volume. The research aims to empirically examine the effect of retained earnings on Trading Volume Activity (TVA) with Return On Assets (ROA) as a moderating variable. The study uses data from the 2018-2020 financial statements of companies in the consumption and construction services sector listed on IDX and analyzed using moderation regression analysis. The results show that the variable retained earnings is simultaneously significant to Trading Volume Activity (TVA) with Return On Assets (ROA) as a moderating variable. Partially retained earnings can significantly influence Trading Volume Activity (TVA), while ROA can moderate the retained earnings variable on Trading Volume Activity (TVA). The research contributes that companies can increase the amount of retained earnings and increase ROA so that trading volume can be increased. The more companies trade, the value-added received will increase

The Impact Of Covid-19 On Stock Price And Stock Trade Volume (Case Study of Food and Beverages Companies Listed on the Indonesia Stock Exchange)

The first Covid-19 case in Indonesia was announced on March 2 2020. This study aims to find out whether there is a significant difference in stock prices and stock trading before and after Covid-19 entered Indonesia (Case Study of Registered Food and Beverages Companies on the Indonesian Stock Exchange). The data for this study were taken 9 months before and 9 months after Covid-19 in Indonesia. Data were processed by paired sample t-test, using SPSS. From the results of the data processing, it shows that there was a significant difference in stock prices before and after the announcement of the first case of Covid-19 in Indonesia. This is indicated by a significance value of 0.011 <0.05. Where stock prices have decreased compared to before the Covid-19 case. Meanwhile, stock trading volume also shows a significant difference. Where the significance value is 0.003 <0.05. The stock trading volume after the announcement showed an increasing value.

Ballot Boxes and Stock Market: The Influence of Parliamentary Election Uncertainty on Dhaka Stock Exchange (DSE) Returns, Volatility, and Trading Volume

Political factors, like other external variables, can create noises in the capital market. Elections, being a critical political factor, can instill uncertainty in investors regarding their two primary goals of achieving capital gains and dividends. This study aims to examine the impact of general elections on the Dhaka Stock Exchange's (DSE) return, volatility, and trade volume. The study utilizes daily return data from January 2, 2000, to November 30, 2020, specifically focusing on the four parliamentary elections held in 2001, 2008, 2014, and 2018. By employing the event window approach, the study finds that DSE generates positive abnormal returns during election periods. Additionally, using the GJR-GARCH (p, q) model, the study concludes that return volatility is significantly impacted during election time. Furthermore, the study observes that election has significantly positive impact on daily trade volume of DSE. In conclusion, this study establishes a strong correlation between parliamentary elections and abnormal returns, volatility, and trade volume in the DSE. The study's findings emphasize the need for policymakers to create stable political environments that can attract more investments, boost market confidence, and promote economic growth and development. Investors can use the results to make informed investment decisions during election periods.

Pengaruh Faktor-Faktor Fundamental dan Teknikal terhadap Harga Saham Industri Manufaktur

The purpose of this study was to determine the effect of fundamental variables (Ratio On Assets, Debt to Equity Ratio and Current Ratio) and technical factors (Past Stock Price and Trading Volume) partially and simultaneously on stock prices by using panel data analysis. The sample selection in this study used a purposive sampling method, resulting in 8 manufacturing companies registered on LQ45 in 2017-2021 as samples. The results of this study indicate that: 1) Return On Assets, Debt to Equity Ratio, Current Ratio and Sales Volume partially have no effect on stock prices; 2) Past Share Prices partially have a significant positive effect on stock prices; 3) Return On Assets, Debt to Equity Ratio, Current Ratio, Past Stock Prices, and Trading Volume simultaneously have a significant effect on stock prices. The results of the R2 determination coefficient test show that the variability of the dependent variable (stock price) can be explained by the independent variables (Return On Assets, Debt to Equity Ratio, Current Ratio, Past Stock Prices, and Trading Volume) of 88%, so that the remaining 12% the dependent variable is explained by other factors that the researchers did not input into the study.
 Keywords: Stock Prices, ROA, DER, CR, Past Stock Prices, and Trading Volume

The Effect of Key Audit Matters Disclosure on Stock Prices and Trading Volumes: Evidence from Listed Companies in the Egyptian Stock Exchange

The Effect of Key Audit Matters Disclosure on Stock Prices and Trading Volumes: Evidence from Listed Companies in the Egyptian Stock Exchange

Econometrics and Machine Learning Approach on Correlation in Stock Return between US Firms and Chinese Suppliers

This study investigates machine learning on influential factors on the correlation of the stock return movements between US firms and their Chinese suppliers, given that the overall correlation has already been proven in the previous study. The present investigation was conducted by performing econometrical analysis and applying a variety of regression models to US firms' stock returns (independent variable) and their Chinese suppliers' stock returns (dependent variable) with various factors involved. From the results, it was evident that industry differences are a factor that caused variations in the degree of stock return correlations. Furthermore, firm size and stock trading volume yielded positive impacts on the significance of the correlation. Subsequently, predicated on said findings, a prediction model was generated using the Random Forest machine learning approach. Using US customer firms' monthly stock return data, as well as the three aforementioned factors, the monthly stock return value of their Chinese supplier firms can be predicted.

Effect of Disclosure of Economic Performance, Enviromental Performance, and Social Performance on Stock Trade Volume

Effect of Disclosure of Economic Performance, Enviromental Performance, and Social Performance on Stock Trade Volume

Financial Data Collection Based on Big Data Intelligent Processing

With the rapid growth of big data technology, its field plays a crucial role in financial data processing. No matter in the past or in the future, the financial industry has always been an important part of leading the development of the world economy, and the premise of this is to stabilize the financial environment. The current turmoil in the world economy also means that the financial environment is volatile. Therefore, the collection and analysis of financial data is an indispensable step. According to the collection and analysis of financial data intelligently processed by big data, this article studied the necessity of financial data collection and analysis, and used python crawler and k-means algorithm to process financial data. By crawling the stock trading information of a website, part of the data was extracted and visualized. According to the trend chart of the stock price and trading volume, the trend of the stock could be clearly and intuitively understood.

Reaksi Pasar atas Pengumuman Stock Split Sebelum dan Selama Pandemi COVID-19

The study aims to examine differences in abnormal returns and stock trading volumes before and after stock split announcements in the period before and during the COVID-19 pandemic. The number of samples in this study were 47 companies selected by purposive sampling techniques. Data collection uses nonpartisan observation methods by accessing www.idx.co.id and yahoofinance.com sites. The data was analyzed using the Wilcoxon Signed Rank Test. The results showed that there was no difference abnormal return before and after the stock split announcement in the period before the COVID-19 pandemic, there was no difference in abnormal return before and after the stock split announcement during the COVID-19 pandemic, there was a difference in stock trading volume before and after the stock split announcement in the period before the COVID-19 pandemic, there was a difference in stock trading volume before and after the stock split during the COVID-19 pandemic.
 Keywords: Stock Split; Abnormal Return; TVA; COVID-19 Pandemic