Stock Market Reaction on Olympic Sponsorship Announcement Using Event-study Method

2006 ◽  
Vol 16 (2) ◽  
pp. 95-108 ◽  
Author(s):  
George S. Spais ◽  
George N. Filis
2018 ◽  
Vol 54 (11) ◽  
pp. 2577-2595 ◽  
Author(s):  
Flávio de Freitas Val ◽  
Marcelo Cabus Klotzle ◽  
Antonio Carlos Figueiredo Pinto ◽  
Claudio Henrique da Silveira Barbedo

2015 ◽  
Vol 2 (3) ◽  
pp. 325-343
Author(s):  
Anis Sundiyah ◽  
I Made Sudana

This research examines stock market reaction to the political events related of Jokowi in the Indonesia Stock Exchange. Variables used in this research are average abnormal return (AAR) and cumulative average abnormal return (CAAR) which measured using a statistical test one sample t-test. In this research, there are 230 sampel in the announcement Jokowi as a presidential candidate, 316 sampelin the announcement of results of presidential election quick count and 339 sampel in the announcement of work cabinet. Analysis model in this research is event study during the test period of 11 days exchange trading. Consistency of the stock market reaction was compared descriptively based on the analysis of AAR and CAAR. Testresults of AAR and CAAR showed that stock market consistently reacted positively to the announcement Jokowi as a presidential candidate and the announcement of the work cabinet and inconsistent with the announcement of the results of quick count because stock market reacted negatively. keywords: event study, political events of Jokowi, AAR, CAAR, consistency reaction.


2016 ◽  
Vol 8 (8) ◽  
pp. 23 ◽  
Author(s):  
Marwan M. Abdeldayem ◽  
Ramzi Nekhili

<p>Between 2014 and 2015, the oil price almost halved. Since then, it has fallen a further 40%. Consequently, Moody’s Investors Service has downgraded Bahrain’s long-term issuer rating from Baa3 to Ba1with a negative outlook and placed it on review for further downgrade. In this context, previous literature reaches no agreement about the impact of credit rating changes on stock prices. Some studies indicate that credit rating changes do not affect stock prices, while others conclude they do. Therefore, this study aims to examine whether credit rating change has a significant impact on Bahraini stock prices. We conducted an event study to analyze stock market reaction to such news in the Kingdom of Bahrain. Even though Bahrain has witnessed a series of sovereign downgrades over the past five years, the latest downgrading event in February 17, 2016, has been followed by a credit rating downgrade of its banking sector in March 7, 2016. Hence the choice of the sample period of the event study includes both these downgrading events over the period of study from January 2, 2014 till March 22, 2016. Three sectors were selected from the Bahrain all share index: banks, service and industrial. The findings of the study reveal that sovereign rating downgrade has some mixed pre-announcement and post-announcement effects and credit rating downgrade provides useful information. Overall, the results indicate that downgrades and negative outlook announcements have an adverse impact on long-term equity returns, but little impact on short-term performance.</p>


2014 ◽  
Vol 1 (2) ◽  
pp. 18-33 ◽  
Author(s):  
Jiuchang Wei ◽  
Han Wang ◽  
Xiumei Guo

This study attempts to explore whether and how stock market responds to industrial accidents. We employ the event study method to look into the responses of stock markets to 83 accidents experienced by various listed companies in China, and explore how industrial accidents influence stock market in the different markets. Findings imply that the stock market shows negative reaction with respect to these accidents. However, as time goes by, the market reaction tapers off. In the bear market, the negative market reaction was highly significant. Small-sized companies, in comparison with other companies, have a most significant reaction to accidents and they also have the worst ability to recover from accidents. The findings of this study can help the investors to better understand how the stock market reacts to the industrial accidents in different market environments and under other conditions.


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