scholarly journals The Impact of Acquisition on Stock Value in Case of Warsaw Stock Exchange

2019 ◽  
Vol 16 (1) ◽  
pp. 70-79
Author(s):  
Wojciech Kaczmarczyk

Abstract Research purpose: Seven of 10 companies that have won the Polish Forbes edition Merge & Acquisition 2018 Ranking are listed on Warsaw Stock Exchange. The aim of the conducted research was to test if the biggest acquisitions have an impact on stocks value and is it possible for typical investor to create extra profit by using knowledge of acquisition based on public information. Design/Methodology/Approach: Using data from Warsaw Stock Exchange (quotations), typical measures such as rate of return, standard deviation (risk), correlation and transaction volume changes were calculated. Each of the case results obtained for the company was compared with the result for stock market indexes: WIG (Warszawski Indeks Giełdowy – main WSE index), WIG20 (WSE sub-index of the 20 largest companies), mWIG40 (WSE sub-index of 40 medium companies) and sWIG80 (WSE sub-index of 80 small companies). In addition, the outcomes were confronted with public news (from WSE Electronic System for Information Transfer). Findings: Conducted research has shown that generally successful finalisation of acquisition results in changes of stock prices behaviour. Unfortunately, observed reactions were not the same. Acquisitions induced both increases and decreases in stock prices; there was also no rule in case of risk change. Generally, acquisitions and merges had rather good influence in banking sector (which is still concentrating), but there was no common reaction in other sectors. Originality/Value/Practical Implications: The results will be useful for investors acting on Warsaw Stock Exchange, especially for individual investor who are not able to carry out detailed analyses. The research provides results including possible pre-effects and after-effects of making big acquisition by a large company. The negative market reactions were also shown.

e-Finanse ◽  
2015 ◽  
Vol 11 (4) ◽  
pp. 57-63
Author(s):  
Zbigniew Korzeb

Abstract The objective of the paper is to analyse the impact of the Swiss National Bank’s decision to introduce the floating exchange rate of the franc on January 15th, 2015, upon the market value of commercial banks operating in the Polish banking sector. The analysis involved twelve commercial banks quoted on the Warsaw Stock Exchange. The results are inconclusive. The predicted reduction of the banks’ market value was less significant than indicated by market investors’ reaction on the day after the announcement of the decision to introduce the floating exchange rate of the franc. The banks most prone to granting credit denominated in CHF did experience the largest reduction of their share quotations. However, the Pearson product-moment correlation coefficient calculated for the correlation between the average cumulative abnormal returns on shares for the entire analysed sample, and the proportion of credits denominated in Swiss francs in the total credit portfolio, indicated only a moderate correlation between both variables.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Araceli Hernández González

PurposeThis study aims to provide evidence of market reactions to organizations' inclusion of people with disabilities. Cases from financial journals in 1989–2014 were used to analyze the impact of actions taken by organizations to include or discriminate people with disabilities in terms of the companies' stock prices.Design/methodology/approachThis research is conducted as an event study where the disclosure of information on an organization's actions toward people with disabilities is expected to impact the organization's stock price. The window of the event was set as (−1, +1) days. Stock prices were analyzed to detect abnormal returns during this period.FindingsResults support the hypotheses that investors value inclusion and reject discrimination. Furthermore, the impact of negative actions is immediate, whereas the impact of positive actions requires at least an additional day to influence the firm's stock price. Some differences among the categories were found; for instance, employment and customer events were significantly more important to a firm's stock price than philanthropic actions. It was observed that philanthropic events produce negative abnormal returns on average.Originality/valueThe event study methodology provides a different perspective to practices in organizations regarding people with disabilities. Moreover, the findings in this research advance the literature by highlighting that organizations should consider policies and practices that include people with disabilities.


2018 ◽  
Vol 2 (1) ◽  
pp. 41-46
Author(s):  
Hendra Gunawan ◽  
Serlyna Serlyna

This study examines the impact of technology on the performance of financial investment in banking companies listed in Indonesia Stock Exchange to prove its influence on the development of the banking company's financial performance. The data used in this research is secondary data uses financial statements that have been audited. Data analysis technique used is simple regression analysis. Results showed that between investments in information technology affect the company's financial performance. The results of this study illustrate that the company's financial performance would be if the investment in information technology in the company are used effectively and efficiently. This research is important for companies and organizations, in order to better the use or utilization of information technology in the enterprise. The company is only limited to the banking companies listed in Indonesia Stock Exchange, then further research is recommended to add criteria and indicator others that have not been addressed in this study, in addition to subsequent authors can also extend the sample population to another company with a different field such as manufacturing companies.


2021 ◽  
Vol 11 (4) ◽  
pp. 5132-5144
Author(s):  
Nitish Rane ◽  
Pooja Gupta

This study aims to examine the impact of financial ratios on the stock prices of companies listed on NIFTY Bank. Nifty Bank is a sub-index of NIFTY 50 and has various listed banks included based on the criteria given by NSE. This study data has been taken from the period 2010-2019 and taken from the company annual reports. The analysis is done using panel data regression and other tests to verify the best model for the dataset. The results obtained from this study show that the capital adequacy ratio and the dividend payout ratio do not impact the stock price. In contrast, earnings per share, net NPA ratio, and basic earnings per share, net profit margin, and net interest margin exhibited a relationship with the stock price. In the Indian context, there is less research available on this topic, and the idea chosen for the study is original. Along with this, the data collected for the study and the code used for analysis is original work. New investors can use the results of this study in the Indian stock market to analyze a stock and take proper investment decisions. Another practical usage of this study is that banking sector companies can improve their ratios to attract new investors.


2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino

Resumo O rating de crédito expressa uma opinião, por intermédio de escalas, sobre a qualidade do crédito de empresas, utilizado-a como medida de avaliação de risco no mercado. Agências de classificação de risco de crédito, como a Moody’s, divulgam os ratings que atribuem às empresas. Primeiramente, essas agências emitem o new rating, que representa o primeiro rating da companhia, e, posteriormente, essa emissão pode apresentar variações, denominadas upgrades e downgrades, relativas a boas e más notícias, respectivamente. Além disso, os ratings podem ser colocados em uma Watchlist quando, em breve, pode haver uma mudança do rating para downgrade ou para upgrade. O objetivo com este estudo consistiu, diante do que foi tratado, em abordar o impacto do rating de crédito sobre os preços das ações de empresas listadas na bolsa de valores brasileira. Para alcançar o objetivo proposto, foi analisada uma amostra de 44 empresas comercializadas na BM&FBovespa e 65 ratings nacionais de longo prazo emitidos pela Moody’s entre 2000 e 2015. Utilizou-se a metodologia de estudo de eventos, com os retornos normais calculados pelo modelo de retornos ajustados ao risco e ao mercado, e o Teste-F e o Teste-T para verificar a significância dos resultados. As análises finais evidenciaram que os preços das ações não são afetados de forma significativa pelas divulgações dos new ratings, downgrades, upgrades, on watch – possible downgrades e on watch – possible upgrades em nenhuma janela do evento, indicando que os ratings, para a amostra analisada, não trazem novas informações ao mercado.Palavras-chave: Ações. Rating. Estudo de eventos. Retornos anormais. Abstract Credit ratings are used as a mean to investors get new information on the companies by reducing the information asymmetry in the market. Thus, the rating is an important mean of business information with investors, enabling share prices relating to companies react to it. Branches of credit rating as Moody's, disclose the ratings they assign to companies. First, the agency issues the new rating, which represents the company's first rating, then this issue may vary, upgrades and downgrades calls relating to good and bad news respectively. In addition, the ratings could be placed in a Watchlist when, soon there may be a change to the rating downgrade or upgrade. The purpose of this study was to discuss the impact that the credit rating has on stock prices of companies listed on the Brazilian stock exchange. For a sample of 44 companies traded on BM&FBovespa and 65 long-term national ratings issued by Moody's between 2000 and 2015, we used the event study methodology, with normal returns calculated by the model of returns adjusted for risk and market the F-Test and T-Test to test the significance of the results. The final analysis showed that stock prices are not significantly affected by the disclosures of new ratings, downgrades, upgrades, on watch – possible downgrades and on watch – possible upgrades in any event window, indicating that the ratings do not bring new information to the market.Keywords: Stocks. Rating. Event studies. Abnormal returns.


2021 ◽  
Vol 2 (3) ◽  
pp. 22-29
Author(s):  
Van hyung Shih ◽  
Chien Hoang

The aim of this research is to ascertain if accounting fundamentals and macroeconomic indicators have an effect on stock prices. In this research, a quantitative method was used. The population of this research includes manufacturing firms listed on the Stock Exchange, with a sample size of ten companies collected through secondary data during the 2019-2020 quarter. Scale of data measurement using a ratio scale. The findings indicated that inflation and interest rate macroeconomic variables had little impact on stock values. Fundamentals of Accounting The return on equity and the price-earnings ratio both have a substantial beneficial impact on company prices


SAGE Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 215824401988514
Author(s):  
Ghulam Hussain Khan Zaigham ◽  
Xiangning Wang ◽  
Haji Suleman Ali

The main objectives of this study are to examine the impact of stock price performance on firm’s investment and to investigate the counter impact of changes in investment expenditures on stock price performance. The random effects model was applied on the panel data of Chinese manufacturing firms listed at the Shanghai Stock Exchange and the Shenzhen Stock Exchange during the period 2002 to 2016. The sample contains 398 firms with 5,970 observations. Although there is a statistically significant and negative relationship between stock price and investment expenditures, the impact of stock price on investment expenditures is far greater than that of investment expenditures on stock price. Information asymmetry positively mediates both investment sensitivity to stock prices and stock prices sensitivity to investment. This study is a valuable contribution toward the analysis of investment decision making by manufacturing firms in China. It also provides guidelines for investors to assess the informational status of the capital market before making investment decisions and to comprehensively understand the different decisions made by firms with regard to the issue of new stocks and the indirect information attached with such issues.


2018 ◽  
Vol 19 (3) ◽  
pp. 707-721 ◽  
Author(s):  
Neeraj Nautiyal ◽  
P. C. Kavidayal

This study offers empirical findings on the impact of institutional variables on firm’s stock market price performance. In order to identify the influence of companies financial on NIFTY 50 Index, our sample consists of balanced panel of 30 actively traded companies (that becomes the study’s index representative) over a massive transition period, 1995–2014. Attempts have been made with a wide range of econometric models and estimators, from the relatively straightforward to (static) more complex (dynamic panel analyses) to deal with the relevant econometric issues. Results indicate that increasing debt in capital structure does not establish any significant relation with the stock prices. Earnings per share (EPS) shows a poor explanation of price variation. Economic value added (EVA) indicates a positive relation with current as well as previous year’s stock price performances. However, dividend payout (DIVP) and dividend per share (DPS) achieve negative relationship at moderately significant level. The present study confirms that performance of companies fundamental ratios will be essential and immensely helpful to investors and analysts in assessing the better stocks that belong to different industry groups.


2018 ◽  
Vol 8 (12) ◽  
pp. 2473 ◽  
Author(s):  
Michał Paluch ◽  
Lidia Jackowska-Strumiłło

This paper presents new methods and models for forecasting stock prices and computing hybrid models, combining analytical and neural approaches. First, technical and fractal analyses are conducted and selected stock market indices calculated, such as moving averages and oscillators. Next, on the basis of these indices, an artificial neural network (ANN) provides predictions one day ahead of the closing prices of the assets. New technical analysis indicators using fractal modeling are also proposed. Three kinds of hybrid model with different degrees of fractal analysis were considered. The new hybrid modeling approach was compared to previous ANN-based prediction methods. The results showed that the hybrid model with fractal analysis outperforms other models and is more robust over longer periods of time.


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