Blue Chip Companies Research Articles

A Study on Market Volatility of Selected Blue-Chip Companies in India

This research investigates stock price volatility among India's top five Elite companies—Infosys, Wipro, Reliance Industries, Hero MotoCorp, and TCS—focusing on factors influencing price changes. Analyzing metrics such as EPS, market capitalization, dividends, ROI, and cash flows from 2019 to 2024, the study identifies trends in financial health and stability. The companies demonstrate growth in earnings, market cap, and dividends, showing resilience and strong investor confidence. The findings underscore the importance of ongoing financial assessment and market awareness for informed investment strategies

The Influence of Service Quality, Corporate Social Responsibility and Corporate Reputation on Customer Satisfaction With the Government’s Role as Moderator (Study on the company PT PLN Indonesia)

This study aims to analyze how the influence of Service Quality, Corporate Social Responsibility and Corporate Reputation on Customer Satisfaction with the Government’s Role as moderating. The object of research used is the BlueChip Company Customer PT PLN Persero Indonesia. The sampling technique used was the Saturated Sampling technique. The data analysis used is the Structural Equation Model (SEM) method or Structural Equation Modeling with the WarpPLS approach. The results showed that: CSR (X1) has a significant positive effect on Customer Satisfaction (Y1). Company Reputation (X2) has no significant effect on Customer Satisfaction (Y1). Service Quality (X3) has a significant positive effect on Customer Satisfaction (Y1). The moderating effect of the government’s role on the relationship between CSR and customer satisfaction is not significant. The moderating effect of the Government’s role on the relationship between Company Reputation and Customer Satisfaction is not significant. The moderating effect of the Government’s role on the relationship between Service Quality and Customer Satisfaction is significant. The originality of this research is the modeling of the customer satisfaction variable by involving CSR, Company Reputation, and Service Quality as independent variables and the Government Role variable as a moderating variable in monopolistic companies in Indonesia.

Fuzzy–Rough Analysis of ESG Ratings and Financial and Growth Ratios on the Stock Returns of Blue-Chip Stocks in Taiwan

This study uses fuzzy–rough analysis to investigate the influence of Environmental, Social, and Governance (ESG) ratings, along with critical financial and growth ratios, on the stock returns of blue-chip companies in Taiwan. The growing importance of ESG factors in investment decisions underscores the need to understand their impact on stock performance. By integrating the fuzzy–rough set theory, which accommodates uncertainty and imprecision in data, we analyze the complex relationships between ESG ratings, traditional financial metrics (such as ROE, return on equity), and stock returns. Our findings provide insights into how ESG considerations, alongside financial indicators, drive the returns of Taiwan’s blue-chip stocks. Three public-listed companies were evaluated using this approach, and the results are consistent with the actual stock performance. This research contributes to the field by offering a robust methodological approach to assess the nuanced effects of ESG factors on financial performance, thus aiding investors and management teams in making informed decisions.

IMPACT OF COVID 19 WITH REFERENCE TO BSE & NSE OF SELECT COMPANIES - PRE AND POST LOCKDOWN

The Research Paper focuses on the impact of COVID 2019 on Top 5 blue chip companies in India, in different words the article analyses the profitability and financial performance of Top 5 blue chip companies in the course of pre and Post COVID 2019. The sample item used on this are 5 companies listed on Bombay & National stock change in the course of the duration from 2020-2021 to 2022-2023.For this secondary data is used. The data changed into being collected for 4 years before and after COVID 2019. This Study founds out the general effect of the COVID 2019 of top 5 blue chip companies in India which have been positive for maximum of the parameters for all of the companies. On the premise of this COVID 19 activities are fully favorable to top 5 blue chip companies.

Stock feature dimensionality reduction for closing price prediction using unsupervised machine learning technique (case study of Nigeria Stock Exchange)

Stock data offers invaluable insights into the world of finance. It encourages investment and savings for both individuals and the nation as a whole. To monitor and predict stock, many stock variables are collected which in turn leads to curse of dimensionality because they occupy much storage space and take more computational time. In order to avoid this, there is a need to reduce the dimensionality of the stock features. Since stock is an unlabeled data with a Gaussian distribution (the features are normally jointly distributed), an unsupervised machine learning technique was applied to discover, establish an association and extract the most important features that have the entire generality of the original dataset for predicting the next day’s closing price. The dataset (daily price list) of Dangote Sugar Refinery Plc was randomly selected from the 27 blue chip companies in Nigeria Stock Exchange. 4 stock features were discovered and extracted from the 9 features in the original dataset.

자동차 부품업체의 TDABC 적용사례 연구

[Purpose]If activity－based cost calculation is a cost calculation method that can be applied to blue－chip companies with advanced ERP systems, TDABC is a relatively easy and simple cost calculation method that can be applied even to a small number of SMEs. This study attempted to confirm the usefulness of TDABC by analyzing the difference between the time－active cost calculation (TDABC) method and the existing cost calculation method based on the cost data of S, a case company in the automobile parts manufacturing industry. [Methodology]Unlike the traditional cost calculation of case company S, the process time was calculated by applying the TDABC system by the time equation. Through this, not only the actual operation level was divided into usage time and idle time, but also cost reduction and profit rate improvement measures were prepared by dividing the cost into usage cost and idle cost. [Findings]Summarizing the analysis results of this study, for case companies, the operating margin based on traditional cost calculations was 2.8%, whereas the TDABC system was analyzed as 6.7% of the operating margin for the cost of use, excluding idle costs. In other words, the cost of the TDABC system is a way to increase the operating margin along with the reduction of the idle cost sector. Therefore, it was confirmed that the introduction of the TDABC system for case companies can increase the efficiency of cost management. [implications]Unlike previous studies that calculated the cost incentive rate in the dedicated facility system, this study is significant in that it analyzed the usefulness of TDABC by applying time－driven cost calculation in the multi－species production system because case company S is building a system of general－purpose facilities.

Research on Investment Strategy of Hang Seng ETF Based on Hang Seng Indexs P/E Ratio

The Hang Seng Index is commonly used by investors as a reference and benchmark for investing in the Hong Kong stock market. It comprises of approximately 40 stocks, mainly blue-chip companies in Hong Kong. The price-to-earnings ratio of Hang Seng Index is a predictive instrument for future price. By comparing price-to-earnings ratio with its historical data, investor would figure out whether the stock is overvalued or not. In this paper, the investment strategy uses performance over the past five years to decide whether to buy or sell. This research collectes data from 2013 to 2022 and tests the feasibility of the strategy. The result shows that the overall rate of return from 2018 to 2022 is 4.83%. After improvement, the rate of return increases to 5.51%, with less loss. This paper finds that price-to-earnings ratio plays a role in predicting market stock price and helps investors obtain more market information to develop an investment strategy with high returns.

PENGARUH STOCK SPLIT TERHADAP ABNORMAL RETURN & LIKUIDITAS SAHAM BLUE CHIP

Stock split is a corporate action intended to raise stock liquidity. When stock prices are high, the shares become inaccessible to all capital market investors. The impact of stock splits on abnormal returns and stock liquidity should be re-evaluated due to the discrepancies in prior studies. This research evaluates the influence of stock splits on liquidity and abnormal stock returns. This research utilized a sample of 27 blue-chip companies listed on the IDX that underwent stock splits from 2010 to 2022. Blue chip stocks are often the market leaders for each sector and subsector of stocks in the capital market. Variations in blue chip stocks can certainly have an impact on other common stocks in each sector and subsector. The Wilcoxon signed-rank test was used to assess differences. The study period spanned ten days, with five days before and five days after the stock split. This research discovered disparities in the abnormal returns and liquidity of the company shares that were part of blue-chip stocks before and after the stock split. This conclusion is based on the assumption that the abnormal returns and liquidity of stocks were consistent throughout the observation period (ceteris paribus).

The Effects of the COVID-19 Outbreak on the Global Retail Industry: An Event Study Approach

Abstract In this study, we examined the COVID-19 effect in the global scale on the global retail markets with the Event Study methodology. The sample used in the study consists of data from 10 developed and developing countries in six continents, which are obtained from Reuters DataStream. The top large-cap, blue-chip companies in the stock market for each economies were included in the study, which is totaled of 91 active retail sector shares and major indices. Based on our findings; the cumulative average of abnormal returns (CAAR) of the retailers in three Event Studies in question showed a distortion in the efficiency of the formation of the retail prices at the 0.01, 0.01, and 0.05 significance levels and the global retail stock prices overreacted more.

A STUDY ON PERFORMANCE OF STOCKS OF BLUE CHIP COMPANIES IN INDIA

The main aims of this paper are to explain the discriminatory variables between the top 10 blue chip companies stocks in stock markets of the India. . Since there is relatively less empirical research on the stock selection in markets, with even less studies on the markets in the transition economies of India, this paper is designed to shed some light on the identification of blue chip stocks from Indian stock market. Results presented in this paper provide confirmatory evidence that the blue chip stocks from the selected stock markets of the Indian stock market can be identified by examining their dividend payout , Market price of share , EPS and relevant ratios were analyzed and research tools like Mean etc. The variables were tested with the help of hypothesis testing on the basis of ANNOVA to determine the performance of the selected stocks.

ANALISIS PENGARUH PROFITABILITAS, LEVERAGE DAN RISIKO BISNIS TERHADAP STRUKTUR MODAL PADA PERUSAHAAN NON KEUANGAN DI BURSA EFEK INDONESIA

This study aims to determine the effect of firm size and liquidity on capital structure partially and simultaneously. This research was conducted because there were inconsistencies in the results of previous studies. The data used is secondary data using a sample of 67 samples of Non-Financial Blue Chip companies listed on the Indonesia Stock Exchange in 2017-2020. Sampling was carried out using purposive sampling. This study uses a quantitative approach and the analysis technique used is multiple linear regression analysis. The results showed that the independent variables of firm size and liquidity had an effect on capital structure both partially and simultaneously.Keywords: Company Size, Liquidity, Capital Structure, Blue Chip, Non-financial

CULTURAL ANALYSIS OF THE EVOLUTION OF BUSINESS CORPORATE FASHION

Based on modern concepts of fashion theory, the analysis of evolutionary changes in the corporate business dress code of the period 1906-2020 from the standpoint of the influence of political and foreign economic factors is carried out. Ambivalent reactions from the participants of the dress code to the change of corporate style at each stage of evolution are revealed. It is established that the tightening of the corporate dress code is characteristic of the stages of macroeconomic recovery and is due to the increased intensity of competition, which confirms the consideration of examples of the evolution of the dress code of blue-chip companies. The rethinking of the dress code policy, up to the rejection of formalised requirements, is cyclical and occurs during periods when the appearance of employees ceases to be an effective method of increasing competitiveness, including due to the growth of "unspoken" violations – manifestations of ambivalence on the part of employees.

Value relevance of financial information: A comparative study of pre- and post- implementation of Indian accounting standards

In 2016, India implemented new accounting standards, Ind AS, aligning with IFRS to increase transparency in the financial reporting of Indian companies. This study examines the value relevance of financial information in India before and after the adoption of Indian accounting standards (Ind AS) by comparing the published financial statements in pre- and post-Ind AS periods and determines the influence of financial information on the market price of shares. The study period is for twelve years, from 2011 to 2022, divided into 2011–2016 (pre-Ind AS period) and 2017–2022 (post-Ind AS period). To evaluate the value relevance of financial information, the Ohlson pricing model is employed on the panel data of the blue-chip companies listed in the Nifty 50 Index. The results from the Least Squares regression reveal that the net cash from investing activities, profit-after-tax, and book-value-per-share were relevant for investment decisions prior to the adoption of the Ind AS. In contrast, the profit-after-tax had no explanatory power during the post-Ind AS period. However, the net cash from investing activities and the book-value-per-share significantly influenced the market price of equity since the implementation of Ind AS. The value relevance of the accounting statements was superior in the pre-Ind AS period compared to the post-Ind AS.

Prediction of stock prices of blue-chip companies using machine learning algorithms

Prediction of stock prices of blue-chip companies using machine learning algorithms

Prediction of Stock Prices of Blue-Chip Companies using Machine Learning Algorithms

Prediction of Stock Prices of Blue-Chip Companies using Machine Learning Algorithms

The Practice and Drivers of CSR Disclosure Among the Blue-Chip Companies in North Macedonia

Non-financial reporting is becoming an increasingly common topic of discussion and is a matter of time before it is regularly implemented around the world. Stakeholders want to see how companies contribute to the common good and what social activities they undertake, so although in the Macedonian practice Corporate Social Responsibility (CSR) disclosure is not mandatory, there is a growing intention to publicly disclose information about social activities. CSR is extremely important for businesses and other stakeholders, and it requires businesses to develop a corporate strategy that balances environmental, social, and ethical concerns. Through this type of activities, companies manage to increase their influence in society, to leave a good impression but also to contribute to the improvement of society and place of living, which is a win-win situation for everyone. The paper aims to examine the level of CSR reporting in domestic practice, through research conducted on the blue-chip companies listed on the Macedonian Stock Exchange. We analyzed the financial and annual reports and official websites of the joint stock companies that were part of the MBI10 index in the period from 2016 to 2020. First, a theoretical review of the CSR is presented, followed by a literature review on the CSR’s indicators and the state of the CSR in the Macedonian practice. Our findings from the conducted content analysis and linear regression show that larger and more profitable companies show a greater propensity for social responsibility and display more information about their undertaken social related activities.

Perbedaan Saham Blue Chip dan Non Blue Chip: Analisis Volume Perdagangan dan Return Saham Atas Kebijakan Stock Split

The stock split phenomenon is still challenging to understand the returns to companies and investors. A stock split is a corporate actions to break up more shares so that the price per share changes to a smaller one, which aims to increase stock liquidity. The purpose of this study is to analyze differences in trading volume, and stock returns before and after the company's stock split policy implemented in blue-chip and non blue-chip Indonesian companies in the 2017-2019 period, amounting to 34 companies. This study uses data analysis techniques in the Wilcoxon Signed Ranks Test and the Mann-Whitney T-Test. The results showed a significant difference to the average trading volume, but there was no significant difference to the average stock return before and after the stock split policy. The test results of the average difference between blue chip and non blue-chip companies have no significant differences. The company's market capitalization has no significant effect on stock returns and trading volume in the stock split period. The results of this study can be used as reference material for investors and companies in making decisions.

Layoffs and stock market performance during the COVID-19 pandemic: evidence from the US

PurposeThe authors examine the short-term stock market reaction surrounding US layoffs during the coronavirus disease 2019 (COVID-19) period. The authors’ specific interest is on any changes that may be observed in US stock markets during the COVID-19 outbreak. This information will help us assess the extent to which policymakers adopted at time revenue and expenditures measures to minimize its negative impact.Design/methodology/approachThe authors study the linkage between layoffs announced by firms and stock markets in US for the COVID-19 period between March 2020 and October 2020. This period shows important economic figures; a huge number of job cuts announced by blue-chip companies listed in the New York Stock Exchange (NYSE) due to widespread economic shutdowns. The authors examine whether and to what extent stock markets in US have reacted to layoff announcements during the COVID-19 pandemic using an event-study methodology.FindingsThe study’s results show that US layoffs during the pandemic did not cause any abnormalities on the stock returns, either positive or negative. Based on the mean-adjusted volume, the authors find that layoffs increase the stocks' trading volume, especially on the event date and the day following the event. US stocks become more volatile on the days following the event. Interestingly, on the event date, the authors find that stocks get the highest abnormal volatility; however, the result is statistically insignificant.Practical implicationsThe authors suggest that layoffs announcements follow the business cycle quite closely in most industries. The study’s results have implications for investors, regulators and policymakers as they permit to examine the effectiveness of the measures adopted.Social implicationsThe study’s results show that policymakers reduced uncertainty implementing intensive measures quickly and should follow similar policy in the future pandemic and/or unexpected events.Originality/valueThis paper contributes to the literature in two directions: First, to the best of the authors’ knowledge this is the first study that provides empirical evidence and assesses the extent to which a major global shock such as the COVID-19 pandemic may have altered the reaction of US stock markets to layoff announcements. Second, this is the first study on this topic that examines volume and volatility abnormalities, while the authors check the robustness of the findings with different methods to calculate abnormal returns.

Organizational Strategic Management Responses and Consequences During Covid-19 Era

One consequence of the COVID-19 pandemic is that companies based on conventional (linear) value creation logic and traditional management solutions, even agricultural enterprises, are forced to make such strategic decisions and apply such strategic planning techniques which have not characterised them so far. My basic assumption is that the circumstances have been triggered and accelerated the linear–nonlinear transformation at companies. In this sense, during the value creation of linear organisations, special sets of functions emerge that are nonlinear in their nature. These include the development of adaptation skills, activities focusing on innovation, creativity management, rethinking of HRM, coordinating digital transformation, and all the skills which are needed to successfully respond to an increasingly unpredictable (complex) operating environment. The aim of the paper is to take a snapshot of the current literature dealing with strategic management responses on the consequences of pandemic and – in the same time – categorize the main suggestions, conclusions of the selected papers and documents in line with the steps of the strategic management process. In addition, I want to point out the core essence of the nonlinear management approach reflecting on the content of the literature. Finally, I analyzed the managerial responses of the Hungarian Blue Chip companies in line with the pandemic. The literature suggests a really wide range of solutions to handle the current situation affecting almost all of the most relevant strategy-making areas. The results show that the linear–nonlinear transformation has started in Hungary as well, but in many cases it is still in its infancy.

Kinerja Keuangan dan Return Saham Perusahaan Blue Chip di Bursa Efek Indonesia

The purpose of this study is to provide empirical evidence regarding the effect of return on assets, earnings per share, and return on equity on stock returns. This research was conducted on Blue Chip companies listed on the Indonesia Stock Exchange (IDX). The number of samples taken as many as 81 samples, with non-probability sampling method with saturated sampling technique. Data collection is done by non-participant observation. The analysis technique used is multiple linear regression technique. The results of the analysis found that return on assets, earnings per share, and return on equity had a positive effect on stock returns of Blue Chip companies listed on the IDX for the 2017-2019 period.
 Keywords : Stock Return; Return On Assets; Earnings Per Share; Return On Equity; Blue Chip.