scholarly journals The Market Responses to Super Bowl Advertising: The Role of Product Type and Multiple Executions

2021 ◽  
Vol 13 (13) ◽  
pp. 7127
Author(s):  
Jung-Gyo Lee ◽  
Kyung-A Ko
Keyword(s):  
Stock Prices ◽  
Abnormal Return ◽  
Abnormal Returns ◽  
Product Type ◽  
Excess Returns ◽  
Super Bowl ◽  
Market Responses ◽  
Hedonic Products ◽  
The Impact

This study uses event study analysis to examine the impact of Super Bowl commercials on the stock prices of sponsoring firms by product type and the frequency of ad executions. By examining 272 Super Bowl advertisements from 142 firms that aired from 2010 to 2019, the results show that the execution of Super Bowl advertising was positively associated with excess returns. In particular, the abnormal return for the day after the event represents the largest gain in excess returns over a period of ±10 days around the event day. Further, cumulative average abnormal returns (CAARs) are consistently positive right after the event day. The findings demonstrate that Super Bowl commercials yielded higher returns for low-involvement and hedonic products. The number of ad executions is found to substantially enhance the effectiveness of Super Bowl advertising.

scholarly journals THE IMPACT OF BANK RESTRUCTURING ANNOUNCEMENT ON THE BANKING STOCK PRICES: The Cases of Indonesia’s Banking Reforms on March 13, 1999, and The Issuance of Government Bonds on May 28, 1999

2018 ◽  
Vol 1 (2) ◽  
pp. 37
Author(s):  
Muhammad Fendi Susiyanto
Keyword(s):  
Stock Prices ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Good News ◽  
Government Bonds ◽  
Private Banks ◽  
Event Date ◽  
Banking Reforms ◽  
The Impact

This study is an event study that aims to investigate how successful the banking reforms measures that has already been done by the Indonesian government in order to strengthen its banking system. There were two events to be investigated in this study, first (1) The banking reforms announcement on March 13, 1999 which consists of the closure of 38 private banks, the taken-over of 7 private banks, 9 private banks will be recapitalized, and let 73 private banks to continue their operation without joining the recapitalization program; second (2) on May 28, 1999 Minister of Finance issued government bonds amounted to Rp 103,831 trillion to complete the private banks’ recapitalization, and also issued the other government bonds to repay the obligations of frozen commercial banks’ and rural banks’ regarding its liquidity support, to Bank Indonesia amounted to Rp 53,779 trillion.These two events above, are expected to be good news or favorable information for investors on the Jakarta Stock Exchange (JSX), and should be responded positively by investors which indicates significantly increases on banking stocks after the event dates.Thirteen samples of banking stocks which were listed on the Jakarta Stock Exchange (JSX) at the beginning of 1997 were used to investigate the reaction of banking stocks around the dates of these two events. By using the paired-samples mean difference test, we did not find significant differences between abnormal returns before and after the event dates. Furthermore, the cumulative abnormal return of banking stocks around the banking reforms announcement on March 13, 1999 and the issuance of government bonds announcement on May 28, 1999 were decreasing gradually until it reached the negative area. Trading Volume Activity (TVA) test, on the banking stock volume around the banking reforms announcement on March 13, 1999 has found that TVA of banking stocks after the event date was significantly greater than TVA of banking stocks before the event date. The result was not found on the issuance of government bonds event.In general, from these results, it can be concluded that the banking reforms measures done by the government was not successfully implemented from the market’s point of view.The abnormal return tests have been conducted, yet it is still found a significant abnormal return around both the banking reforms announcement on March 13, 1999 and the issuance of government bonds announcement on May 28, 1999. These findings did not support the semi-strong efficiency of the Jakarta Stock Exchange (JSX).

scholarly journals The Impact of COVID-19 on the Stock Price of Socially Responsible Enterprises: An Empirical Study in Taiwan Stock Market

2021 ◽  
Vol 18 (4) ◽  
pp. 1398
Author(s):  
Kuo-Jung Lee ◽  
Su-Lien Lu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Recovery Phase ◽  
Socially Responsible ◽  
Cumulative Impact ◽  
Study Approach ◽  
Price Performance ◽  
The Impact

This study examines the impact of the COVID-19 outbreak on the Taiwan stock market and investigates whether companies with a commitment to corporate social responsibility (CSR) were less affected. This study uses a selection of companies provided by CommonWealth magazine to classify the listed companies in Taiwan as CSR and non-CSR companies. The event study approach is applied to examine the change in the stock prices of CSR companies after the first COVID-19 outbreak in Taiwan. The empirical results indicate that the stock prices of all companies generated significantly negative abnormal returns and negative cumulative abnormal returns after the outbreak. Compared with all companies and with non-CSR companies, CSR companies were less affected by the outbreak; their stock prices were relatively resistant to the fall and they recovered faster. In addition, the cumulative impact of the COVID-19 on the stock prices of CSR companies is smaller than that of non-CSR companies on both short- and long-term bases. However, the stock price performance of non-CSR companies was not weaker than that of CSR companies during times when the impact of the pandemic was lower or during the price recovery phase.

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.

New product announcement: spokesperson a manifestation of increasing firm value

2018 ◽  
Vol 13 (6) ◽  
pp. 1635-1655
Author(s):  
Bikram Jit Singh Mann ◽  
Sonia Babbar
Keyword(s):  
Event Study ◽  
Firm Value ◽  
Source Credibility ◽  
Shareholder Value ◽  
Abnormal Returns ◽  
New Product ◽  
Content Type ◽  
Study Methodology ◽  
The Impact

Purpose Before introducing new products, companies make announcements regarding the launch of the product which influences stock market yields of the announcing companies. Information content of the new product announcement has never been an exclusive focused stream of research. Therefore, an assessment of the impact of the content characteristics of the new product announcement on the shareholder value and the impact of source credibility (spokesperson) in making such announcements is a major gap in the existing literature. The paper aims to discuss these issues. Design/methodology/approach First, the standard event study methodology has been employed on the sample to measure the abnormal gains/losses accruing to the announcing firms. Second, moderated regression analysis (MRA) is employed to identify the characteristics of the new product announcement and to check the role of the spokesperson in creating shareholder value. Findings The results of the event study indicate that the abnormal returns are generated during the new product announcement. The results of MRA disclose the variables having a positive and a significant influence on the effective returns of the announcing companies. Likewise, the role of the spokesperson has come out brightly as a credible communicator. Originality/value The research provides a direction to the announcing companies regarding the content of the announcement leading to a positive perception among the investing community. Likewise, it also provides direction to the investor community about the characteristics of the announcement content they give weight age in forming a perception of strength in evaluating the new product announcement, to which they are largely unaware.

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.

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.

THE EX-DIVIDEND-DAY BEHAVIOR OF STOCK PRICES AND VOLUME: THE CASE OF PHARMACEUTICAL DIVIDEND ARISTOCRATS

2019 ◽  
Vol 65 (04) ◽  
pp. 889-915
Author(s):  
TEPLOVA TAMARA ◽  
QAISER MUNIR ◽  
KAPICHNIKOVA MARIA
Keyword(s):  
Stock Prices ◽  
Abnormal Return ◽  
Global Financial Crisis ◽  
Abnormal Returns ◽  
Share Price ◽  
Market Behavior ◽  
Expected Return ◽  
Trading Volumes ◽  
Tax Hypothesis ◽  
The Global Financial Crisis

This paper presents the wide analysis of the profitability factors of dividend capture strategy on public pharmaceutical companies within a five-year period after the global financial crisis 2008. We investigate the abnormal return and trading volumes with event study, and the effect of price changes around the ex-dividend date under the influence of various factors. Our findings suggest that there are no abnormal trading volumes on both the [Formula: see text] day of the event window and the day of the event on a subsample of companies that do not declare a dividend before the register close date. We confirm the negative stock yield on the ex-dividend day in most markets. We further confirm the tax hypothesis explaining the behavior of the share price and note the specific behavior of stock prices in the ex-dividend date for companies that do not disclose information on future payments (Japan and South Korea) and on emerging markets. The positive average cumulative abnormal return is statistically significant only for companies with a share of R&D/Total revenue [Formula: see text]3%. For companies with a value of more than 3%, the return is negative. An anomaly in the pharmaceutical stock market behavior in the ex-dividend date for 2016 is documented in our paper. A statistically significant price increase is registered both without taking into account the general market behavior, and taking into account market and individual expected return for each share of the sample. The cumulative abnormal returns are greater for pharma companies with a total enterprise value more than $1 billion, except for 2016.

scholarly journals Market Reaction Analysis of Annual Report Award Announcement: An Event Study Using Abnormal Return, Trading Volume Activity, and Stock Price

2020 ◽  
Vol 4 (1) ◽  
pp. 340
Author(s):  
Fitri Astuti ◽  
Anggi Setya Prayoga
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Annual Report ◽  
Market Reaction ◽  
Abnormal Returns ◽  
Volume Activity ◽  
Event Window ◽  
Before And After

This study intends to examine the differences in market reaction around the announcement of the Annual Report Award which is not only measured by abnormal return but is also measured using trading volume activity and stock prices. The data used are quantitative data in the form of a list of companies that received the Annual Report Award for the 2015-2018 period, the daily closing price of the ARA-winning company in the event window, the composite stock price index, the number of shares traded, and the number of shares outstanding. The event window is selected for 11 days because the long window period will blend with the effects of other events or confounding effects. The results of the study concluded that the market reacted around the announcement of the Annual Report Award for the 2015-2018 period measured using abnormal returns, trading volume activity, and stock prices. There is no difference in abnormal returns before and after the announcement of the 2013-2016 Annual Report Award period. Instead there are differences in trading volume activity and stock prices before and after the announcement of the Annual Report Award for the 2015-2018 period.

scholarly journals Does Stock Market Performance Affect Economic Growth? Empirical Evidence from Saudi Arabia

2019 ◽  
Vol 11 (9) ◽  
pp. 21 ◽  
Author(s):  
Moayad H. Al Rasasi ◽  
Soleman O. Alsabban ◽  
Omar A. Alarfaj
Keyword(s):  
Economic Growth ◽  
Empirical Evidence ◽  
Stock Prices ◽  
Causality Test ◽  
Steady State Condition ◽  
Long Run ◽  
Stock Market Performance ◽  
Cointegration Tests ◽  
The Impact

This research paper investigates the impact of stock prices on real economic activity in the Saudi Arabian economy. We utilize various econometric techniques – Johansen and Juselius’s (1990) cointegration tests and Granger’s (1969) causality test – to assess such a relationship, based on quarterly observations spanning the period from the first quarter of 2010 to the fourth quarter of 2018. Our empirical evidence indicates the presence of a significant cointegrating relationship between the two variables being examined; in other words, stock prices have a significant impact on real economic growth. Specifically, the estimated long-run relationship reveals that a 1 percent increase in stock prices would boost economic growth by 0.32 percent. In addition, the error correction model suggests that when the economy deviates from its steady state condition, it needs about a year and a half to return to its equilibrium condition. Lastly, this paper applies the most common Granger causality test, which confirms the essential role of stock prices in predicting changes in economic growth.

scholarly journals Event Study: Advanced Machine Learning and Statistical Technique for Analyzing Sustainability in Banking Stocks

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3319
Author(s):  
Varun Dogra ◽  
Aman Singh ◽  
Sahil Verma ◽  
Abdullah Alharbi ◽  
Wael Alosaimi
Keyword(s):  
Machine Learning ◽  
Stock Prices ◽  
Research Work ◽  
Abnormal Returns ◽  
Second Phase ◽  
Financial News ◽  
News Events ◽  
News Event ◽  
The Impact

Machine learning has grown in popularity in recent years as a method for evaluating financial text data, with promising results in stock price projection from financial news. Various research has looked at the relationship between news events and stock prices, but there is little evidence on how different sentiments (negative, neutral, and positive) of such events impact the performance of stocks or indices in comparison to benchmark indices. The goal of this paper is to analyze how a specific banking news event (such as a fraud or a bank merger) and other co-related news events (such as government policies or national elections), as well as the framing of both the news event and news-event sentiment, impair the formation of the respective bank’s stock and the banking index, i.e., Bank Nifty, in Indian stock markets over time. The task is achieved through three phases. In the first phase, we extract the banking and other co-related news events from the pool of financial news. The news events are further categorized into negative, positive, and neutral sentiments in the second phase. This study covers the third phase of our research work, where we analyze the impact of news events concerning sentiments or linguistics in the price movement of the respective bank’s stock, identified or recognized from these news events, against benchmark index Bank Nifty and the banking index against benchmark index Nifty50 for the short to long term. For the short term, we analyzed the movement of banking stock or index to benchmark index in terms of CARs (cumulative abnormal returns) surrounding the publication day (termed as D) of the news event in the event windows of (−1,D), (D,1), (−1,1), (D,5), (−5,−1), and (−5,5). For the long term, we analyzed the movement of banking stock or index to benchmark index in the event windows of (D,30), (−30,−1), (−30,30), (D,60), (−60,−1), and (−60,60). We explore the deep learning model, bidirectional encoder representations from transformers, and statistical method CAPM for this research.

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