scholarly journals Impacto dos Ratings de crédito nas ações de empresas de capital aberto no Brasil

2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino
Keyword(s):  
Stock Prices ◽  
Credit Rating ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Final Analysis ◽  
Share Prices ◽  
New Information ◽  
Agency Issues ◽  
Study Methodology ◽  
The Impact

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.

scholarly journals The Impact Of Index Migrations On Share Prices: Evidence From The Johannesburg Stock Exchange

2013 ◽  
Vol 29 (6) ◽  
pp. 1861 ◽  
Author(s):  
Ryan Kruger ◽  
Francois Toerien
Keyword(s):  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
International Studies ◽  
Share Prices ◽  
Johannesburg Stock Exchange ◽  
Demand Curves ◽  
Study Methodology ◽  
Top 40 ◽  
The Impact

<p>This article examines the quantum and persistence of abnormal returns (positive and negative) for shares that entered or left the JSE Top 40 Index during quarterly index rebalancing between 2002 and 2013. Using an event study methodology based on the market model, we find evidence of anticipatory trading for both deletions and additions, which is, however, significant only for the former. These abnormal returns are reversed over our window period, which supports international studies indicating downward sloping share demand curves. Our findings imply informational inefficiencies that investors could use to trade profitably in anticipation of index additions or deletions.</p>

scholarly journals THE IMPACT OF DIVIDEND ANNOUNCEMENT ON STOCK RETURNS AMONG THE TEN TOP COMPANIES IN PAKISTAN

2020 ◽  
Author(s):  
Zubair Tanveer ◽  
Muhammad Zul Azri Muhammad Jamil
Keyword(s):  
Stock Returns ◽  
Insider Trading ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Abuse ◽  
Study Methodology ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

The study tested the response of stock prices around the dividend declaration dates in Pakistan stock exchange. It estimated the data of 1110 dividends announced by 91 firms of the highest ten active sectors of Pakistan Stock Exchange. To empirically investigate the relationship between stock returns and dividend announcement, the panel regression was employed by creating dummy variables for 61 days around the dividend declaration dates. Cumulative average abnormal returns and average abnormal returns were also stimated around the events with the help of event study methodology. Outcomes of the empirical analysis revealed strong evidence of market abuse in the term of insider trading and supported the argument of the information content hypothesis and semistrong form of efficient market. Moreover, the study also found a robust impact of the probable ex-dividend date. The study recommended that it is a responsibility of stock exchange regulatory authorities, whistleblowers, registered companies, and the investors collectively to detect and punish this white-collar financial crime.  

scholarly journals Stock Price Reactions to Publications of Financial Statements: Evidence from the Moscow Stock Exchange

2021 ◽  
Vol 15 (1) ◽  
pp. 19-36
Author(s):  
Parmenas Njoroge ◽  
Michaela Baumann ◽  
Michael Baumann ◽  
Dmitry Shevchenko
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Financial Statements ◽  
New Information ◽  
Russian Stock Market ◽  
Non Gaussian ◽  
The Impact

This paper analyses the effects of financial statements on the efficiency of the Russian stock market. Specifically, we analyse the impact of financial reporting on stock prices of the firms listed on the Moscow Stock Exchange. By means of the widely used event study method, which dates back to Ball and Brown [1], we analyse how corporate news publication affects stock prices. Our research analyses 1000 samples, each consisting of 30 events, independent of the underlying stocks/firms and analyses the relation between the behaviour of the share prices and the release of the firms’ annual, quarterly, and unscheduled financial statements. We use the daily stock price data of 56 components of the Russia Trading System Index from the years 2014 to 2020 in order to analyse the relation between the behaviour of the shares’ prices and the releases of the firms’ annual, quarterly, and unscheduled financial statements. Using an ordinary least squares market model, we estimate the market parameters and especially the so-called normal returns, i.e. benchmark values. With this, we calculate the abnormal returns, i.e. the price changes caused by the events cf. [1; 2]. We perform several statistical tests for non-Gaussian distribution of these abnormal returns and find that there is a significantly non-Gaussian relationship between the publication of financial statements and the prices of the shares, which should not be the case in an efficient market [2]. Our results indicate that stock price volatility on the publication of financial statements may be caused by some information asymmetry, and demonstrate that the Russian stock market responds significantly to new information. Thus, we discuss recommendations to improve the information content of financial statements in Russia. This means analysts and fund managers can use new information to predict future stock returns and, thus, construct profitable portfolios.

Market reactions to the inclusion of people with disabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Araceli Hernández González
Keyword(s):  
Event Study ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
People With Disabilities ◽  
Market Reactions ◽  
Content Type ◽  
Study Methodology ◽  
Research Advance ◽  
The Impact

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.

Testing Market Reaction On Stock Market Delisting In Russia

2021 ◽  
Vol 15 (3) ◽  
pp. 14-27
Author(s):  
Елена Моисеевна Рогова ◽  
Maria Belousova
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Statistical Significance ◽  
Abnormal Returns ◽  
Global Market ◽  
Public Companies ◽  
Market Participants ◽  
Study Methodology ◽  
Available Information ◽  
The Impact

This paper expands the available information on the effects of delisting in Russia, and represents a rare empirical analysis of the impact of external events on securities prices in this major global market. We seek to evaluate how stock prices of competing companies fluctuate around the dates of stock market delisting announcements and completion. We analyse stock prices as correlated with company delisting events from 2004 to 2019 on 552 companies on the Russian MOEX Exchange. The event study methodology is used to evaluate the abnormal returns of rival companies close to relevant delisting dates. These data were checked for statistical significance using the standardised Patell residual test. The results indicate a significant competitive effect on stock prices both on the dates of delisting announcement and on completion, with more significant returns close to announcement dates. These effects were found to influence the prospects not just of individual groups of companies, but of all market participants. We may conclude from our results that delisting is not an event limited in effect to only one company, but impacts the industry as a whole, temporarily changing its value. As such, it will interest both shareholders and managers of public companies, and any participants of industries in which delisting occurs.

scholarly journals Stock price reaction to cash dividend announcements in Vietnam

2017 ◽  
Vol 24 (02) ◽  
pp. 74-89
Author(s):  
Truong Nguyen Xuan ◽  
Huong Dao Mai ◽  
Anh Nguyen Thi Van
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Cash Dividend ◽  
Share Prices ◽  
Price Reaction ◽  
Cumulative Abnormal Returns ◽  
Stock Price Reaction ◽  
The Uk

This study attempts to investigate the stock price reaction to divi-dend announcements using data of Vietnamese listed firms on Hochiminh Stock Exchange (HOSE). Standard event study meth-odology has been employed on a sample of 198 cash dividend an-nouncements made in 2011. The results show that stock prices react significantly and positively to the announcements of cash dividends, including both dividend increasing and dividend decreasing events. It is also plausible that cumulative abnormal returns exhibit an in-creasing trend before announcement yet a decreasing trend after announcement dates. More specifically, we find positively signifi-cant cumulative abnormal returns of around 1.03% on announce-ment dates; other larger windows also demonstrate positive abnor-mal returns of around 1.3%. In addition, cash dividends have differ-ent effects on share prices of firms from different industries. These results support the signaling hypothesis and are also consistent with prior findings of empirical research done on more developed mar-kets, i.e. the US and the UK.

scholarly journals Do Company Related Newspaper Articles Have an Impact on the Share Prices? The Case of the German Market

2019 ◽  
Vol 11 (3) ◽  
pp. 32
Author(s):  
Jyoti Gupta ◽  
Benjamin Graubner
Keyword(s):  
Stock Prices ◽  
Data Set ◽  
German Market ◽  
Share Prices ◽  
Thomson Reuters ◽  
New Information ◽  
Java Program ◽  
Using Data ◽  
The Impact ◽  
Newspaper Articles

The paper looks at the impact of information on stock prices within the context of the German Market. Using data set from the Thomson Reuters, a new platform using a self-written Java Program, between the time period of 27 August and 29 September 2013, we analysed the impact of information on stock prices in the German Market. We developed an Information Based Return Model (IBRM) to analyse how information drive stock prices. We counted certain words within newspaper articles to understand their meaning. We analyse the impact of those word-clusters on different trading intervals. Our Information Based return Model shows that stock prices anticipate news from the non-trading time within the first minute of trading. We also analysed the time drifts between news release and personal reception. Our results show that the German Market anticipates new information as effectively as the US Market.&nbsp;

scholarly journals Impact of Corporate Social Responsibility Awards on Share Prices

2019 ◽  
Vol 5 (1) ◽  
pp. 141-154
Author(s):  
Zeeshan Mahmood ◽  
Javed Iqbal ◽  
Waris Ali ◽  
Muhammad Aamir
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Stock Exchange ◽  
Business Case ◽  
Share Price ◽  
Event Window ◽  
Share Prices ◽  
Study Methodology ◽  
Corporate Social ◽  
The Impact

This paper provides empirical evidence to evaluate the business case of corporate social responsibility. In contrast to former studies, we choose to examine the relationship between corporate social responsibility awards and share prices. We examined this relationship in the contextual setting of Pakistan, where several award schemes are operating to reward CSR performance. An event study methodology was adopted to investigate the impact of award announcement on the abnormal return of TOP 100 companies listed on the Pakistan Stock Exchange. A daily price for each company was collected during the estimation window of 120 days before the event window and an event window of 3 days [-1, 0, 1]. Our analysis shows that the overall announcement of CSR awards has an insignificant impact on share price.                                             

How does capital market respond to Certified Emission Reductions (CERs) announcements in India

2019 ◽  
Vol 45 (7) ◽  
pp. 950-965 ◽  
Author(s):  
Praveen Kumar ◽  
Mohammad Firoz
Keyword(s):  
Event Study ◽  
Stock Prices ◽  
Abnormal Returns ◽  
Share Price ◽  
Emission Reductions ◽  
Content Type ◽  
Share Prices ◽  
The Mean ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to analyze the relationship between Certified Emission Reductions (CERs) information and a firm’s stock prices. Design/methodology/approach The present study is based on 193 CERs announcements by Indian firms over a 13-year period 2005–2017. The event study methodology is used to examine the impact of CERs announcements on a firm’s share prices. Findings The study suggests that the issuance of CERs did not produce any significant abnormal return. More specifically, the outcomes of event study shows that over a two-day event window from the event day to the day after the event (i.e. days 0 to 1), the mean and median of AARs are −0.25 and −0.34 percent, respectively. The abnormal returns on day 1 are not statistically significant as per the t-test. Moreover, the mean and median of abnormal returns after one day (−1) are negative, indicating that investors react negatively to CERs announcements. However, the mean and median of CAARs over both the two-day (i.e. days −1 to 0 and days 0 to +1) and three-day (i.e. days −1 to +1) event windows are positive, but not statistically significant based on the t-test. Research limitations/implications The findings of the study are quite comprehensive, relatively used only market-based criteria of a firm’s financial performance, e.g., share price, at times, inhibits generalizing the results. Originality/value To the best of the author’s knowledge, the present study is a first of its kind to investigate the relationship between the CERs information and a firm’s stock prices.

scholarly journals Impact of Accounting Information on Share Price: Empirical Evidence from Pakistan Stock Exchange

2016 ◽  
Vol 3 (1) ◽  
pp. 124
Author(s):  
Muhammad Asif ◽  
Kashif Arif ◽  
Waqar Akbar
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Explanatory Power ◽  
Accounting Information ◽  
Time Frame ◽  
Share Price ◽  
Share Prices ◽  
The Impact ◽  
The Relationship

Purpose—The purpose of this paper is to examine the relationship between accounting information and share price. In order to achieve this, a model that includes specific accounting ratios (earning per share, book value per share, capital employed per share and operating cash flow per share) and shares a price is developed. Design/methodology/approach—The data were collected from the companies listed in KSE-30 index. The time frame spans from 2006 to 2013 and OLS regression models were used to examine the relationshipsFindings—The resulting evidence suggest that accounting information parameters have significant influence on share price and they have joint explanatory power in determining stock prices. This research finds the consistent results with pervious empirical researches.Originality/value—The present study adds to the existing literature by examining the impact of accounting information on share prices within the context of an emerging capital market such as Pakistan Stock Exchange using KSE-30 companies. This is believed to be the first study which considers the aforementioned issues in the Pakistan’s capital market environment.

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