Stock Prices Of Companies Research Articles

Comparative Analysis of the Volatility Structures of the Stock Prices of Energy Companies Traded on the Kazakhstan Stock Exchange and International Gold and Oil Prices

The return of its stock exchange and the companies traded within are one of the important indicators for a national economy. Due to the global structure of stock markets, returns are closely related to both national and international market variables. This study makes a comparative analysis of the volatility structures of the energy companies traded in the Kazakhstan Stock Exchange (KASE) and the combined stock market index and gold and oil prices in international markets for the period between January 01, 2021, and June 31, 2023. The research focused on two issues. The first is the analysis of the volatility structure of the six series examined. For this purpose, four different models were examined. The second focus is to determine whether the returns in international indices have a causal effect on the Kazakhstan stock market (composite stock market index) and the returns of oil and energy companies traded in the stock market. The results revealed that other indices and returns have a similar variable variance structure, except for the KASE. The relevant coefficient estimation was found to be significant in both conditional standard deviation models for the KASE index. The coefficient estimate of the GARCH-M(1,1) model in the OIL index was significant, whereas conditional standard deviation models and the relevant coefficients of both conditional standard deviation models were found to be statistically insignificant in the other returns. This is an indication of the structural compatibility of Kazakhstan's stock market composite index and energy and oil companies with international markets. Furthermore, the causality analysis results showing that international indices have a causal effect on KASE and KZAP is another indicator that the Kazakhstan market works in harmony with the international markets.

Investment Opportunity Set (Ios): Between Opportunities and Threats for Pharmaceutical Companies in Indonesia

Investment Opportunity Set (IOS) is the opportunity that a company has to make investments that can increase the value of the company. IOS can be influenced by various factors, one of which is the financial performance of the company. This study aims to examine the effect of financial performance on IOS in pharmaceutical companies listed on the Indonesia Stock Exchange (IDX) for the period of 2015-2020. Financial performance is measured by using profitability ratio, solvency ratio, and activity ratio, while IOS is measured by using Market Book Value to Equity (MBVE). This study uses quantitative data in the form of annual financial statements and stock prices of pharmaceutical companies obtained from the official website of IDX. The sampling technique uses purposive sampling with certain criteria, resulting in 54 data samples. The data analysis technique uses multiple linear regression analysis with SPSS for Windows version 26.0 program. The results show that financial performance simultaneously has a significant effect on IOS with F value of 18.859 and significance value of 0.000. Partially, profitability ratio has a positive and significant effect on IOS, solvency ratio has a negative and significant effect on IOS and activity ratio has a positive and significant effect on IOS. This study implies that pharmaceutical companies can increase IOS by improving financial performance, especially profitability ratio and activity ratio, and reducing solvency ratio.

Pengaruh Right Issue dan Kurs Rupiah Terhadap Harga Saham Syariah Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia

This study explores the impact of Right Issue and the exchange rate (kurs Rupiah) on the stock prices of Sharia-compliant companies listed on the Indonesia Stock Exchange from January 2017 to May 2022. Utilizing purposive sampling, 41 companies were selected for analysis using the multiple linear regression model and Eviews 10 software. The results reveal that Right Issue significantly negatively affects Sharia stock prices (t-value < t-table, -2.217714 < 2.02809, p = 0.0336 < 0.05). Conversely, the exchange rate (kurs Rupiah) does not significantly impact Sharia stock prices (t-value < t-table, -1.140584 < 2.02809, p = 0.2623 > 0.05). Simultaneously, both variables significantly influence Sharia Stock Prices (F-value = 4.13, p = 0.044863 < 0.05), indicating their combined positive and negative effects. Right Issue and Kurs Rupiah can be used as indicators of a company's value or stock price. The R-squared value is 0.171493 or 17%, implying that 17% of the variability in Sharia Stock Prices is explained by these variables. In conclusion, Right Issue and Kurs Rupiah contribute to a 17% influence on Sharia Stock Prices, while the remaining 83% is influenced by unexplored variables.

Pengaruh Earning Per Share (EPS), Price Earning Ratio (PER) dan Return On Equity (ROE) Terhadap Harga Saham Pada Perusahaan Property dan Real Estate yang terdaftar di Bursa Efek Indonesia (BEI) Periode 2017-2021

This study aims to determine the effect of Earning Per Share (EPS), Price Earning Ratio (PER) and Return On Equity (ROE) on stock prices in Property and Real Estate companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period. The population used in this study were Property and Real Estate companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2021 period as many as 83 companies with sampling using the purposive sampling method and 26 companies were selected as samples in the study. The analytical method in this research uses multiple linear regression. The results of this study indicate that Earning Per Share (EPS) has a positive effect on stock prices, this is evidenced by the t count value of 10.849 and t table of 1.982 with a significance value of 0.000 where the t count t table and sig value 0.05. The Price Earning Ratio (PER) variable has a positive effect on stock prices, this is evidenced by the t count value of 3.781 and t table of 1.982 with a significance value of 0.000 where the t count t table and sig value 0.05. The variable Return On Equity (ROE) has a negative effect on stock prices, this is evidenced by the t count value of -8.882 and t table of 1.982 with a significance value of 0.000 where the t count t table and sig value 0.05. Simultaneously the variables Earning Per Share (EPS), Price Earning Ratio (PER) and Return On Equity (ROE) have a positive effect on stock prices as evidenced by the f value of 54.224 and f table of 2.69 with a significance value of 0.000 where the t value is calculated t table and sig value 0.05.

RETURN ON ASSET, CURRENT RATIO, DEBT TO ASSET RATIO, AND OPERATING CASH FLOW ON STOCK PRICE OF COMPANIES LISTED IN THE JAKARTA ISLAMIC INDEX PERIOD 2016 – 2021

This study aimed to determine the effect of Return on Asset, Current Ratio, Debt to Asset Ratio, and Operating Cash Flow on the stock prices of companies listed on the Jakarta Islamic Index for the 2016 – 2021 period. The research sample was determined using the purposive sampling method so that the total sample was 12 companies. The analytical method of this research uses descriptive analysis and several types of evaluation using SPSS software. From this research, it can be concluded that only Current Ratio significantly affects stock prices. Meanwhile Return on Asset, Debt to Asset Ratio, and Operating Cash Flow do not have a significant effect on stock prices.

A comparison of analysts’ and investors’ information efficiency of corporate social responsibility activities

Purpose This paper aims to examine the extent to which sell-side analysts efficiently incorporate firms’ corporate social responsibility (CSR) activities into their earnings forecasts. In addition, this paper also investigate the CSR information efficiency of analysts vis-à-vis that of investors. Design/methodology/approach This paper measures CSR activities by using CSR strength and CSR concern scores from the Morgan Stanley Capital International Environmental, Social and Governance database. This paper uses analysts’ earnings forecast errors and dispersion as proxies for their information efficiency. To compare the CSR information efficiency of analysts to that of investors, this paper uses the Vt/Pt ratio, which is the equity value estimates inferred from analysts’ earnings forecasts (a proxy for analysts’ CSR information efficiency) to the stock price of the focal company (a proxy for investors’ CSR information efficiency). Findings The regression analysis indicates that analysts’ earnings forecasts are optimistically biased and more dispersed for firms with positive CSR activities. The paper also finds that analysts’ forecasts are more optimistically biased than investors in interpreting CSR activities. Practical implications The lack of standardized protocols in CSR reporting and activities has raised the risk of mispricing by analysts, threatening the stability of sustainable investments. This paper suggests that regulators and standard-setters should establish a uniform framework governing firms’ CSR activities, along with their reporting and measurement, to ensure more consistent and reliable evaluations of CSR practices. Social implications Analysts’ mispricing of CSR activities may distort sustainable investing, as it can overly focus on the positive impacts of stakeholder theory, overlooking agency theory’s warnings about managerial self-interest. Investors need to assess CSR efforts with a dual perspective, acknowledging their societal value but also examining their alignment with shareholder interests. Originality/value To the best of the authors’ knowledge, this research is the first to assess the efficiency of analysts versus investors in processing CSR information amidst growing sustainable investment interests. Furthermore, building on Dhaliwal et al. (2012), which found that voluntary CSR disclosures correlate with more accurate analyst forecasts, this research provides fresh perspectives on the evolving nature of how analysts assimilate CSR information over time.

Pengaruh Rasio Keuangan Terhadap Harga Saham Perusahaan Sektor Teknologi Di Bei

One of the objectives of financial management is to maximize the value of the company. For companies that are already listed on the stock exchange, this objective can be achieved by maximizing the value of the relevant market price. The purpose of conducting existing research is to test empirically the effect of the Debt to Equity Ratio (DER), Current Ratio (CR), Return on Equity (ROE), Net Profit Margin (NPM), and Total Asset Turnover (TATO) on stock prices of technology sector companies listed on the list on the Indonesia Stock Exchange. The research data includes financial data for the 2018-2021 period. The estimation method used is panel data regression. The results of the study provide empirical evidence that Total Asset Turnover (TATO) has a significant effect on the stock prices of technology sector companies listed on the IDX for the 2018-2021 period. Other variables, namely CR, DER, ROE, and NPM have no effect on stock prices.

<span>Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India</span>

<span>Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India</span>

Stock Price Co-movement Prediction Based on Stock Market Technique Indicators

In the research of financial market analysis, the correlation research between different companies’ stock prices has important theoretical value and practical significance, but there is still a lack of unified standards for the construction and selection of technical indicators. In this paper, a comprehensive review of technique indicator for stock price correlation is designed and the stock price correlation research is carried out. Based on the calculation method of indicators and the meaning of indicators, this paper designs a stock price correlation indicator system. Various related indicators are extracted from the actual market data, combined with the time series clustering model K-Shape and random forest classification model. This paper tries to describe the synchronous correlation of stock prices among listed companies and further analyzes the mechanism leading to these correlations. By using the correlation indicator classification system proposed in this paper, the synchronous correlation relationship of stock prices of different companies is analyzed, and the synchronous correlation relationship of stock prices of corresponding companies in the future can be predicted, and the synchronous correlation relationship between listed companies can be analyzed and explained in practice to a certain extent.

Povezanost volatilnosti među globalnim dionicama e-trgovine

This paper studies the volatility connectedness between the stock prices of e-commerce companies. For that matter, we implement the TVP-VAR-Based connectedness procedure to unearth the dynamic structure of volatilities. This approach helps us to determine the volatility spillover between assets that are risk receivers or risk transmitters. We utilize the daily log-return data of the largest e-commerce companies by market cap. The data set consists of the daily open, close, high, and low prices of stocks between 2019-01-02 and 2022-12-23. We obtain the volatility of stocks using the Garman-Klass range-based approach. The findings reveal that the average total connected index is relatively high by 65.45%, which means that the forecasting error variance in the variables is due to the transmission and connectedness between these variables. Furthermore, net pairwise directional connectedness results evidence that the most dominant stock is Amazon within the network. Ultimately, we find the strongest bilateral volatility interconnectedness to occur between the stocks of Alibaba and Jingdong Mall

Bayesian semi-shared temporal modeling: A comprehensive approach to forecasting multiple stock prices

Stock prices of different companies frequently display similar temporal fluctuations because of common influencing factors. Accurate prediction of stock prices is of utmost importance for investors in determining their investment strategies. Utilizing multivariate forecasting, which involves analyzing multiple time series, has been shown to be highly effective and efficient when applied to stocks that exhibit similar temporal patterns. It is possible to model the relationship between shares by using a shared temporal model approach. Nevertheless, it is important to note that not all stocks selected for prediction demonstrate a strong correlation; certain stocks may deviate from expected patterns. Therefore, the direct implementation of a comprehensive shared temporal component model is not universally applicable. This study presents a new method called the Semi-Shared Temporal Model, which focuses on the correlation structure among variables that have similar patterns, while also modeling all stocks simultaneously. This methodology is applied to the three leading stocks of 2023: Amazon (AMZN), Alphabet (GOOG), and MercadoLibre (MELI). Based on monthly data collected from January 2010 to December 2023, the study forecasts the stock prices for the months of January to December 2024. The analysis findings suggest that the temporal patterns of AMZN and GOOG shares are highly similar, which supports the idea of modeling them together with shared temporality. Three forecasting methods are utilized: univariate models, full shared temporal models, and semi-shared temporal models. The analysis determines that the semi-shared temporal model approach produces the most precise forecasting outcomes, with a Mean Absolute Percentage Error (MAPE) of 17.97%, surpassing both univariate and full shared temporal models. The forecast for 2024 indicates a favorable trajectory for all three stocks.

Pengaruh Good Corporate Governance, Kinerja Keuangan dan Retention Ratio terhadap Harga Saham

Good Corporate Governance (GCG), Financial Performance, and Retention Ratio are essential factors that can influence stock prices. Good GCG can enhance investor confidence and drive positive financial performance. Strong financial performance can increase the company's value and attract investors to buy the company's shares. A high Retention Ratio indicates that the company can retain quality employees, which can enhance productivity and profitability. This research aims to analyze the influence of GCG, Financial Performance, and Retention Ratio on Stock Prices. The method employed is quantitative. The population used in this study is the LQ45 companies listed on the Indonesia Stock Exchange for the period 2017-2021, totaling 45 companies, and the sample criteria selected 17 companies. Data analysis utilizes descriptive statistics, panel data regression model estimation, classical assumption tests, hypothesis testing, and MRA using Eviews 12. The results indicate a significant influence of the Retention Ratio on Stock Prices, with the statistically higher t-value compared to the t-table (2.663118 > 1.99006). However, variables such as the Board of Directors, Independent Commissioners, Return on Assets (ROA), and Earning Per Share (EPS) do not demonstrate a significant influence on Stock Prices as their t-values are lower than the critical t-value (t-value < 1.99006). The correlation results show that 88.3% of the variation in Stock Prices can be explained by the independent factors examined in this study, while the remaining 11.7% may be influenced by other unmodeled factors. These findings provide valuable insights into understanding the factors affecting company stock prices and underscore the importance of profit retention in the context of a company's market value.

ТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ ИНФОРМАЦИОННОЙ СРЕДЫ МЕДИАКОМПАНИЙ: ИНСТРУМЕНТАЛЬНЫЙ КОМПЛЕКС LDA-TF-IDF

The paper investigates the impact of text processing, topic modeling and machine learning on predicting the dynamics of company stock prices in the information environment. It is found that the use of methods such as TF-IDF and LDA can identify key topics that influence the public dialog about companies in the media and entertainment industry. This allows us to assess the current state of news coverage and predict the impact of thematic aspects on company characteristics. Additionally, the use of gradient-based boosting based on the CatBoost algorithm and its optimization with GridSearchCV shows the potential to effectively predict whether news articles belong to specific clusters. This is an important step in analyzing the impact of the information environment on companies' performance and their performance in the media environment.

Russian Invasion of Ukraine: Impact on Stock Trade Volume and Price of Indonesian Coal Companies

Russian Invasion of Ukraine: Impact on Stock Trade Volume and Price of Indonesian Coal Companies

Pengaruh Kebijakan Dividen Terhadap Harga Saham

This study aims to examine dividend policy on stock prices in food and beverage sub-sector companies listed on the Indonesia Stock Exchange (IDX). Data collection using periodic data obtained from the 2019- 2021 financial statements with purposive sampling techniques, the number of company samples is 13 companies so 42 analysis data are obtained. The results of the financial statements obtained have gone through classical assumptions. The data analysis method uses regression analysis panel data model Common Effect Model (CEM) using Eviews 12. The research results from the test are that the Dividend Policy has a negative and significant effect on Stock Price. The results of the Coefficient of Determination show an R-squared value of 0.252303, the results explain that the ability of the independent variable to explain the dependent variable is 25.23%, while the remaining 74.77% is influenced by other factors that are not found in this research model. Keywords: Dividend payout ratio, food and beverage sub-sector, Stock Price

Analysis of The Influence of Fundamental and Macroeconomic Factors on Stock Prices in Energy Sector Companies Listed on The Indonesia Stock Exchange

This study aims to test and provide evidence of the influence of macro fundamental factors, namely Liquidity (CR), Solvency (DER), Profitability (ROE), Valuation (PBV), inflation, and interest rates on stock prices (PER) in energy sector companies listed on the Indonesia Stock Exchange. This study uses the purposive sampling method conducted on energy sector companies on the Indonesia Stock Exchange for the 2018-2022 period as many as 10 companies. The type of data used is quantitative data in the form of financial data sourced from annual financial statements. The analysis method used in the study was regression analysis of panel data with the Eviews 12 application tool. Based on the method tested using the Model Feasibility Test (Test F), it can be concluded that this research model is feasible to use. The results of the analysis show that Solvency (DER) affects stock prices, while Liquidity (CR), Profitability (ROE), Valuation (PBV), inflation and interest rates do not affect share prices in energy sector companies on the Indonesia Stock Exchange.

PENGARUH ARUS KAS OPERASI, EARNING PER SHARE (EPS) DAN NET PROFIT MARGIN (NPM) TERHADAP HARGA SAHAM PADA PERUSAHAAN FOOD AND BEVERAGE YANG TERDAFTAR DI BEI PERIODE 2016-2020

This study aims to determine the influence of operating cash flow, earnings per share (EPS) and net profit margin (NPM) on the stock price of Food and Beverage companies. The stock price used in this study is the closing stock price for the 2016-2020 period. The population in this study amounted to 32 companies. The sampling technique in this study used purposive sampling with a total sample of 11 companies. The data used is secondary data collected using the documentation method. The analytical technique used is multiple linear regression analysis with SPSS 25 tool. Simultaneous test results show that operating cash flow, earnings per share and net profit margin have an effect on stock prices. The partial test results of operating cash flow have no effect on stock prices, while earnings per share and net profit margin have a positive and significant effect on stock prices in food and beverage companies for the 2016-2020 period

Pengaruh Tingkat Inflasi, Right Issue, dan Earnings Per Share (EPS) terhadap Harga Saham pada Perusahaan Industri Makanan dan Minuman yang Terdaftar di BEI Periode 2017-2021

This research uses food and beverage industry companies that have been listed on the IDX in the 2017-2021 period. Where this study uses 3 independent variables, namely there are 3 of them the inflation rate variable, the Right Issue variable, and the Earnings Per Share variable. As for the dependent variable, namely stock prices. The purpose of this study is to determine the effect of the Inflation Rate, Right Issue, and Earnings PerShare on stock prices. What was done to achieve the research objectives was to use data derived from 165 samples of financial reports or annual reports that had been determined previously through a purposive sampling technique. And processed with SPSS 25.0. The results showed that the negative inflation rate had no significant effect on stock prices, while the Right Issue had a positive and significant effect on the stock prices of food and beverage industry companies.

Pengaruh Economic Value-Added dan Market Value Added terhadap Harga Saham pada Perusahaan Sektor Healthcare

According to the Central Statistics Agency (BPS) (2020), the economic sector experienced a sharp decline in income during the Covid-19 pandemic, which ranged from 70.67% to 87.93%. However, it is inversely proportional to the pharmaceutical sector companies which have experienced an increase in sales of goods and services, this is due to the fact that during the pandemic medical devices became the main needs of the general public. Seeing this phenomenon, the authors conducted a study that aimed to find out the effect of EVA and MVA on stock prices in Healthcare sector companies listed on the Indonesia Stock Exchange for the 2019-2022 period. The author uses purposive sampling method in this study. The results of this study show that partially, Economic Value Added does not have a significant effect on stock prices, while Market Value Added has a significant influence on stock prices. Simultaneously, Economic Value Added and Market Value Added affect the share price of Healthcare companies on the Indonesia Stock Exchange for the 2019-2022 period.

Effect of Stock Split on Abnormal Return, Trading Volume Activity, Stock Price, Bid-Ask Spread, and Systematic Risk of Companies

Go-public companies can use various techniques and strategies to collect capital for their companies. One of them is by carrying out corporate actions. Stock Split is a company strategy that increases the liquidity of a stock by breaking it into several shares. This study was conducted to see the effect of stock split on whether there were differences in abnormal returns, trading volume activity, stock price, bid-ask spread, and systematic risk at companies that conducted stock split in the 2018-2020 period. A total of 40 companies registered on the IDX and conducted stock split from 2018-2022 to be selected samples using the purposive sampling method. In data processing, software-based technology is used SPSS 25. Based on the calculation and results of data analysis, there are differences in the abnormal return variable before and after the stock split is carried out. While other variables, namely trading volume activity, stock price, bid-ask spread, and systematic risk, no difference between before and after stock split is carried out by the company.