Influence Stock Prices Research Articles

Pengaruh Faktor – Faktor Fundamental Keuangan Terhadap Harga Saham Pada Industri Keuangan Sub Sektor Perbankan Bursa Efek Indonesia Tahun 2019 - 2020

Shares are considered to be an indicator of success in managing a banking company because share prices that have increased indicate that the company is in good condition. The closing price is the last price that appears on a company's shares before the stock exchange closes. The aim of this research is to find out how fundamental financial factors influence stock prices in the sub-banking financial industry of the Indonesian Stock Exchange. Secondary data from audited annual reports on the official IDX website, www.idx.co.id, served as the data source for this research. The research population consisted of financial industry companies in the banking sub-sector from 2019 to 2020. Sample selection was conducted using purposive sampling. Descriptive analytical methods with the SPSS version 25 program were employed for analysis, and hypothesis testing utilized the multiple linear regression method. The findings indicate that Price to Earnings Ratio (PER) and Earnings Per Share (EPS) have a significant influence on stock prices, whereas Return on Equity (ROE) and Net Profit Margin (NPM) do not. However, collectively, NPM, ROE, PER, and EPS as fundamental financial indicators have an impact on stock prices. Keywords: Stock Price, NPM, ROE, PER dan EPS

Ensemble Approach Using k-Partitioned Isolation Forests for the Detection of Stock Market Manipulation

Stock market manipulation, defined as any attempt to artificially influence stock prices, poses significant challenges by causing financial losses and eroding investor trust. The prevalent reliance on supervised learning models for detecting such manipulations, while showing promise, faces notable hurdles due to the dearth of labeled data and the inability to recognize novel manipulation tactics beyond those explicitly labeled. This study ventures into addressing these gaps by proposing a novel detection framework aimed at identifying suspicious hourly manipulation blocks through an unsupervised learning approach, thereby circumventing the limitations of data labeling and enhancing the adaptability to emerging manipulation strategies. Our methodology involves the innovative creation of features reflecting the behavior of stocks across various time windows followed by the segmentation of the dataset into k subsets. This setup facilitates the identification of potential manipulation instances via a voting ensemble composed of k isolation forest models, which have been chosen for their efficiency in pinpointing anomalies and their linear computational complexity—attributes that are critical for analyzing vast datasets. Evaluated against eight real stocks known to have undergone manipulation, our approach demonstrated a remarkable capability to identify up to 89% of manipulated blocks, thus significantly outperforming previous methods that do not utilize a voting ensemble. This finding not only surpasses the detection rates reported in prior studies but also underscores the enhanced robustness and adaptability of our unsupervised model in uncovering varied manipulation schemes. Through this research, we contribute to the field by offering a scalable and efficient unsupervised learning strategy for stock manipulation detection, thereby marking a substantial advancement over traditional supervised methods and paving the way for more resilient financial markets.

Pengaruh Exchange Rate, Inflasi, Leverage, dan Firm Size Terhadap Volatilitas Harga Saham (Studi Kasus pada Perusahaan IDX30 di Bursa Efek Indonesia Periode 2018-2022)

IDX30 companies experienced significant volatility in 2020 due to the COVID-19 pandemic, resulting in uncertainty regarding their stock returns. This information led to fluctuations in stock prices. This research aims to investigate the influence of exchange rates, inflation, debt, and firm size on stock price volatility. Using purposive sampling, 12 IDX30 companies were selected as samples for the period 2018-2022. Data samples were collected from annual financial reports via the Indonesia Stock Exchange and Bank Indonesia's website. This study employs panel data analysis, descriptive analysis, panel data regression analysis, regression analysis, and coefficient determination analysis. The research findings indicate that exchange rates and inflation don’t affect on stock price volatility, whereas leverage and firm size significantly influence stock price volatility. The test results also demonstrate that exchange rates, inflation, leverage, and firm size collectively influence stock price volatility. The R-squared value is 99.99 percent, suggesting that 99.99 percent of the variation in the dependent variable can be explained by variations in the independent variables within the testing model.

The effects of manager sentiment in financial disclosure: Perspectives of operational efficiency and market reaction

This study constructs a measure of managerial optimism using textual and nonparametric estimation methods, exploring its impact on company operational efficiency and market reactions. Findings indicate that managerial optimism positively influences stock price returns over the subsequent year by enhancing internal operational efficiency and reducing analyst forecast dispersion, with a more pronounced effect in state-owned enterprises. Utilizing information from the MD&A (Manager Discussion and Analysis) section of annual reports, this research demonstrates the role of managerial optimism in company operations and market reactions, offering empirical evidence for corporate behavioral finance research and practical implications for management practice.

From governance to stability: How party organizations in private enterprises influence stock price crash risk

This article delves into the data of A-share listed private companies from 2010 to 2022, utilizing a DID model to conduct a comprehensive study on how the establishment of party organizations affects the risk of stock price crashes. The research reveals that party organizations significantly mitigate the risk of stock price crashes in private enterprises, particularly in areas with higher marketization levels, among younger companies, and in companies with weaker internal governance. The introduction of party organizations bolsters internal oversight mechanisms, enhancing corporate governance quality and encouraging companies to embrace social responsibilities and ethical standards, thereby minimizing risk accumulation.

The Exploring the Relationship between Financial Performance Indicators, ESG, and Stock Price Returns: A Rough Set-based Bipolar Approach

Using a Rough-Set-based approach, this study investigates the connection between financial performance, Environmental, Social, and Governance (ESG) factors, and stock returns. It analyzes data from various companies and industries to examine how ESG metrics interact with financial indicators to influence stock prices. Those findings underscore the importance of considering financial and ESG factors when evaluating a company's performance and market valuation. The Rough-Set-based bipolar model comprises eight decision rules, and the DEMATEL (Decision-Making Trial and Evaluation Laboratory) analysis reveals the influence relationship among the core attributes. Furthermore, the ranking result, based on the bipolar model, is consistent with the market returns, which suggests the validity of this study.

IMPACT OF META VERSE ANNOUNCEMENT DATE ON STOCK PRICES

Purpose-The developing metaverse, a virtual world poised to transform online interaction, has raised an important question: how does a company's participation influence its financial standing? This study focuses on the e-commerce behemoth Amazon and its prospective entry into the metaverse. Our major goal is to determine whether a statement by Amazon on their metaverse plans causes a significant impact in their stock price. By examining past stock data with any potential metaverse announcement dates, we hope to determine whether Amazon's excitement about the metaverse translates into an actual financial benefit. This study dives deeper by examining the specifics of the announcement (assuming it occurs). Does the level of commitment and investment mentioned affect the stock price reaction? Finally, this study aims to bridge the gap between the hoopla surrounding the metaverse and its real-world ramifications for corporations such as Amazon. Approach: Event Definition: The event of interest is the particular day on which our selected companies makes a public declaration about entering the metaverse. This date will be critical to our analysis. Event Window: We'll set a timetable around the announcement date. This window will most likely consist of two parts: Estimation Window: The period preceding the announcement, we have selected 110 days, helps set a baseline for Amazon's stock price performance and eliminates the impact of unrelated market movements. Event Window: This time period, we have selected as 10 days before and after following the announcement allows us to monitor any potential changes in stock price due to metaverse news. Findings: Stock Price Change: The investigation may discover a statistically significant boost in companies stock price following a metaverse announcement. This suggests that investors reacted positively to the announcement, maybe seeing the metaverse as a new growth prospect. No Change or Negative Change: Alternatively, the investigation may discover no substantial change, or even a decline in stock price following the announcement. This could suggest investor concern about companies capacity to capitalize on the metaverse, as well as a general market correction during the event window. Impact of Announcement Specificity: The study may find that the level of depth and commitment conveyed in the announcement influences stock price movement. A more thorough and ambitious proposal may elicit a better positive response from investors. Industry-Specific Effects: The research design might be expanded to compare company's stock price movement to those of other companies in different industries following metaverse announcements. This could reveal whether particular industries have a stronger stock market reaction because of their deeper relationship to the metaverse. Limitation: For starters, the metaverse is a very new concept, so any announcement by worldwide companies may focus on future projects. This makes it difficult to estimate the long-term financial impact on the company's stock price. Furthermore, the specifics of the announcement itself (assuming it occurs) are critical. A vague announcement with few specifics may have a lower impact on the stock price than a well-defined plan with realistic investment figures. These constraints underscore the need for additional research as the metaverse and corporate participation in it evolve.

Corporate ESG Performance, Corporate Green Innovation Level and Stock Price Synchronicity

Corporate ESG ratings are crucial for China's enterprises pursuing green transformation and the "Dual Carbon" goal. Using a sample of China's A-share listed companies from 2009 to 2022, this study investigates the impact of ESG performance on stock price synchronization. It also explores the mediating role of substantive green innovation. Results show that good ESG performance positively influences stock price synchronization. Specifically, ESG performance promotes substantive green innovation, which enhances stock price synchronization. Additionally, the study finds significant effects in the eastern region and high-tech industries. This research supports firms in improving ESG performance and engaging in green innovation, contributing to stock price stability.

Analysis of the Effect of Profit Accounting, Economic Growth, Interest Rates and Capital Structure on Share Prices in Property and Real Estate Companies

Economic growth signifies a period marked by an increase in real national income or real gross national product. This study aims to assess the effects of accounting profits, economic growth, interest rates, and capital structure on share prices within the financial statements of property and real estate firms listed on the Indonesia Stock Exchange. Utilizing secondary data, the sample comprises 11 property and real estate firms listed on the Indonesia Stock Exchange over a five-year period. Employing purposive sampling, the research period spans five years. Multiple regression analysis is employed as the analytical method. The findings reveal a positive correlation between capital structure and accounting profits with stock prices, whereas economic growth and interest rates do not significantly influence stock prices. This research underscores the importance for companies to prioritize factors influencing stock prices

Stock Price Synchronicity And Institutional Ownership: The Role Of Sustainability Reporting, Political Connection, And Leverage

This research study is aimed to evaluate how institutional ownership affects the degree of correlation among stock prices, as well as the influence of sustainability reporting, political connections, and leverage. The study takes sample data from companies that were on the LQ45 index at the end of the year, or December 31, for the years 2019–2022 using purposive sampling method. Hypothesis testing uses a multiple linear regression analysis model in the form of a moderated regression analysis (MRA) to test moderator variables. The findings indicated that leverage has negative effect on stock price synchronicity, while neither sustainability reporting nor political connections influenced stock price synchronicity. Institutional ownership as a moderating variable is able to strengthen the negative influence of leverage on stock price synchronicity, On the other hand, the presence of institutional ownership does not have an ability to impact the correlation between sustainability reporting and political relationships on stock price synchronicity

Financial Performance, Dividend Policy, and Firm Value in Indonesian Consumer Goods Sector: 2019-2021 Study

This study investigates the nexus between return on assets (ROA), return on equity (ROE), dividend payout ratio (DPR), and firm value, represented by stock prices, within the consumer goods industry sector on the Indonesia Stock Exchange from 2019 to 2021. Utilizing a sample of 26 companies, employing Partial Least Square (PLS) analysis, the research reveals that neither ROA nor ROE significantly influences stock prices, and ROE exhibits no impact on DPR. Moreover, DPR fails to influence stock prices, and it cannot serve as an intervening variable between ROA or ROE and stock prices. These findings suggest a decoupling between financial performance metrics and market valuation within the consumer goods sector, urging a reconsideration of conventional wisdom regarding the determinants of stock prices in this industry Highlights : Limited Influence of ROA and ROE: The study reveals that return on assets (ROA) and return on equity (ROE) do not significantly impact stock prices in the consumer goods sector. Mediation Role of DPR: Dividend payout ratio (DPR) fails to mediate the relationship between ROA or ROE and stock prices, indicating its limited influence on market valuation within the sector. Implications for Market Valuation: The findings challenge traditional assumptions about the determinants of stock prices in the consumer goods industry, prompting a reevaluation of financial performance metrics' relevance in market valuation. Keywords: Consumer Goods Sector, Stock Prices, ROA, ROE, DPR

Pengaruh Rasio Keuangan Terhadap Harga Saham

This research aims to examine the impact of financial ratios such as Fixed Asset Turn Over, Return On Asset, Current Ratio, Total Asset Turnover, and Debt To Equity Ratio on stock prices of manufacturing companies in the consumer goods sector in Indonesia. The sample was selected from companies listed on the IDX for five consecutive years during the period 2015-2020, with consistent annual financial reports, and listed in the LQ45 during the 2020 period. The research findings indicate that Fixed Asset Turn Over has a significant negative relationship with stock prices, Return On Asset has a significant positive relationship with stock prices, Current Ratio shows a negative but not significant relationship with stock prices, Total Asset Turnover has a positive but not significant relationship with stock prices, and Debt To Equity Ratio has a negative and not significant relationship with stock prices. Subsequent research may consider other factors that influence stock prices and assess their impact on the variables under investigation

Changes in Banking Industry Stock Prices: The Role of Risk, Good Governance, Earnings, and Capital

This research, with direct implications for banking professionals and investors, aims to empirically test and analyze the RGEC components, which consist of risk profile, good corporate governance, earnings and capital, and their influence on banking stock prices listed on the Indonesian Stock Exchange (BEI). The sample for this research was determined using a purposive sampling technique, resulting in a total sample of 21 companies over 3 periods, namely 2016-2018. The data analysis technique used is Partial Least Square (PLS). The research results, which have immediate relevance for investment strategies, show that earnings proxied using ROA positively affect stock prices, while risk profile, good corporate governance, and capital do not. This indicates that earnings are still a strong signal for investor investment decisions. Therefore, the company must succeed in maintaining and increasing its earnings to become an investment choice for investors. However, even though good corporate governance and capital do not influence stock prices, it doesn’t mean that banking companies should ignore their governance and capital. These two factors are essential in maintaining good performance.

Pengaruh Rasio Keuangan, Pertumbuhan Laba Terhadap Harga Saham LQ-45 Indonesia

This research aims to find empirical evidence of the influence of several financial ratios, namely Current Ratio, Return on Assets, Earnings Per Share, Debt to Equity Ratio, and Total Assets Turnover, as well as profit growth on the stock prices of companies listed in the LQ-45 index on the Indonesia Stock Exchange (IDX) during the 2018-2022 period. The method used is quantitative causality with data analysis using multiple linear regression with the Stata application. The research sample was obtained from the OSIRIS database and selected using a purposive sampling method with the following criteria: (1) companies that are consistently listed in the LQ-45 index on the Indonesia Stock Exchange for the 2018-2022 period; (2) companies that issue financial reports in the 2018-2022 time period, which contain all the information required in the research variables; (3) and companies that publish stock prices at the close of 2018-2022. This process resulted in 23 companies, and the final sample of observations obtained was 115 data points. The research results show that simultaneously, financial ratio variables and profit growth significantly influence stock prices. This means that the combination of these variables has a strong impact on company share price movements in the LQ-45 index. However, when analyzed partially, only the Earning Per Share (EPS) variable has a significant influence on stock prices. This shows that EPS has a more dominant role than other variables in influencing company stock prices in the LQ-45 index.

Analisis Faktor-Faktor Yang Mempengaruhi Harga Saham (Systematic Literature Review)

Shares are documents or securities that prove ownership of a company. Shares are one of the capital market assets that investors are most interested in. Given the many options available to them when allocating their capital, investors must consider the factors that will influence their careful calculations. Therefore, it is important to understand the variables that influence stock value better. The aim of this research is to find out what factors influence stock prices. The research method used a systematic literature review by obtaining 11 articles for review based on Sinta indexed articles from 2017-2023. The results obtained show that the factors that can influence stock prices are the rupiah exchange rate, trading volume, managerial ownership, profitability, company size, intangible assets, earnings per share, return on assets, debt to equity ratio, return on equity, book value per share, dividend per share, capital structure, company growth, financial leverage, dividend policy, these factors are obtained based on the results of a review of quantitative research which has been proven significantly

Market Capitalization and Its Impact on Equity Valuation a Mixed Method Study of The Indian Capital Market

An investor must perform research on a stock before investing in it. It is critical for the intelligent investor. As a result, stock prices have long piqued the interest of investors. Researchers have worked hard to identify the elements that influence stock prices and so returns. In the current study, 300 companies listed on India's National Stock Exchange (NSE) were divided into three categories based on market capitalization. The study relied on both primary and secondary data to reach its findings. Logistic regression is used to examine secondary data in the form of historical financial information. The outcomes of secondary data analysis are then confirmed using primary data gathered through interviews with domain experts. The study also revealed the importance of the new variables PEG ratio and economic value added (EVA) in Indian scenario to predict the market price of large cap companies. The study's findings can help market participants such as fund managers, stocks analysts, portfolio managers, retail investors, and high-net-worth individuals. The findings of the study will also contribute to the current body of knowledge on equity valuation.

Analyzing Microsoft stock price trends, factors, and market efficiency for optimal investment strategies

Microsoft, one of the tech giants, has seen significant fluctuations in its stock prices in recent years. This article delves into an analytical study of these changes using data sourced from Yahoo Finance. The background for this research stems from the desire to understand the intricacies of stock price movements and the factors influencing them, especially for prominent companies like Microsoft that have a vast impact on global markets. The methodology adopted for this study is the technical approach, where the moving average is calculated to determine the stocks trend. Moving averages are a cornerstone of technical analysis and can provide insights into potential buy and sell signals. By employing this method, the research aims to validate the appropriateness of certain investment strategies based on historical data. The primary objective of the study is not just to chart the course of the stocks price but to delve deeper into the causative factors behind its movement. Various external and internal factors can influence stock prices, from global economic trends to company-specific news. By analyzing these factors, the research also seeks to test the efficiency of the market, a long-debated topic among economists and investors. In conclusion, while past data can offer insights, the stock markets volatile nature demands continuous adaptation of investment strategies. The findings from this study can serve as a foundation for developing more refined prediction tools and investment tactics. Future studies might consider integrating more sophisticated models or incorporating other predictive variables to enhance accuracy and investment outcomes.

The Effect of Activity, Liquidity, Profitability, And Solvency on Stock Prices and Implications on Firm Value: Pharmaceutical Industry Sub-Sector Companies

Objectives: This research aims to conduct a descriptive and verificative analysis of the condition of Activity Ratio, Liquidity, Profitability, Solvency, and Stock Price in the pharmaceutical industry on the Indonesia Stock Exchange from 2009 to 2020. Additionally, the study aims to identify and analyze the extent to which Activity Ratio, Liquidity, Profitability, and Solvency influence Stock Price and its implications on Firm Value. Quantitative data will be used to gather the necessary information for analyzing the relationships between these variables.Methodology: This study utilized a sample of 7 companies selected through purposive sampling, which involves choosing samples based on specific criteria. The data used for analysis is secondary data obtained from the annual reports available on the official website of the Indonesia Stock Exchange (IDX). The data analysis methods employed in this study include panel data regression analysis, multiple linear regression analysis, hypothesis testing, and determination coefficient analysis.Finding: The findings of the study revealed that when considered collectively, the Activity Ratio, Liquidity, Profitability, and Solvency variables had a significant impact on the Stock Price, as indicated by a coefficient of determination (R2) of 69.92%. Individually, the Activity Ratio exhibited a negative and significant influence on the stock price, while profitability demonstrated a positive and significant effect on the stock price. On the other hand, liquidity and solvency were found to have no significant effect on the stock price. Additionally, the study identified a significant relationship between Stock Price and Firm Value The results show that the company's activity (Activity Ratio), liquidity (Liquidity), profitability (Profitability), and solvency (Solvency) have a significant impact on stock prices. Companies with high activity levels, good liquidity, high profitability, and strong solvency tend to have higher share prices. This research provides an understanding of the factors that influence stock prices and can assist investors, financial analysts, and companies in making investment decisionsConclusion: The conclusions of this study are Activities measured by TATO, Liquidity measured by CAR, Profitability measured by ROA in pharmaceutical industry sub-sector companies for the 2009-2020 period tend to decrease, while Solvency measured by DAR and Firm Value in pharmaceutical industry sub-sector companies for the 2009-2020 period tends to increase,

Pengaruh Return On Equity Dan Net Profit Margin Terhadap Harga Saham Pada PT Mayora Indah Tbk Periode 2013 – 2022

This research aims to find out the influence of Return On Equity (ROE) and Net Profit Margin (NPM) on stock prices. The independent variables used are Return On Equity (ROE) and Net Profit Margin (NPM) and the dependent variable used is Share Price. This research method is associative with a quantitative approach. The sample in this research is the annual financial report of PT Mayora Indah Tbk for the 2013-2022 period. A total of 10 data can be processed. Data were tested using descriptive statistical test methods, classical assumption tests (normality test, multicollinearity test, heteroscedasticity test, and autocorrection test), multiple linear regression analysis, coefficient of determination test and hypothesis test (T test and F test) with a significance level of 5%, then the data was processed using IBM SPSS Statistics Version 25. The results of this research show that partially the Return On Equity (ROE) variable has a negative and significant effect on stock prices. The research results based on the results of the t test (partial test) show that the calculated t value > t Table -3.179 > 2.365 and the significance value is 0.016 < 0.05 so Ho is rejected and Ha is accepted. Partially, the Net Profit Margin (NPM) variable has a positive and significant effect on share prices. The research results based on the results of the t test (partial test) show that the calculated t value > t table value or 3.216 > 2.365 and seen from the significance value of 0.015< 0.05, so Ho is rejected and Ha is accepted . Simultaneously the variables Return On Equity (ROE) and Net Profit Margin (NPM) variables have a significant effect on share prices. The research results based on the F test (simultaneous test) the value of Fvalue > Ftable or 5.360 > 4.737 with a significance value of 0.039 < 0.05, so Ho is rejected and Ha is accepted. The Result of testing the coefficient o0f determination can be concluded that the two independent variables influence stock price by 49.2% while the remaining 50.8% is influenced by other factors not examined in this research.

Government debt and stock price crash risk: International Evidence

We add to the literature on the economic outcomes of government debt and argue that government debt increases crash risk via two channels: (i) hoarding bad news and (ii) tax avoidance. Based on a large international sample, our results indicate that stock crash risk is positively associated with government debt. Our conclusions are robust when we treat endogeneity issues, and our tests confirm the validity of bad news hoarding and tax avoidance as channels through which government debt influences stock price crash risk.