Dividend Announcement and Market Response in Indian Stock Market: An Event-Study Analysis

2012 ◽  
Vol 13 (2) ◽  
pp. 269-283 ◽  
Author(s):  
Debasish Maitra ◽  
Kushankur Dey
2014 ◽  
Vol 4 (2) ◽  
pp. 584-599
Author(s):  
Amira KADDOUR ◽  
Mourad ZMAMI

Using an event study analysis, we aim to investigate the impact of political, economic, social and terrorism events, on the Tunisian financial sector, over the period of the Tunisian Revolution; from (12)2010 to (04)2014. Based on a daily data analysis using three selected variables ; Sectoral index of performance of Tunisian banks ,Index of Tunisian stock market and the exchange rate Euro/ Dinar,  the EGARCH model results have highlighted that general events decrease the return of our variables, and increase their volatility. More, results have shown that stock market is very sensitive to political and terrorism events, bad economic events increase the volatility of the exchange rate, and decrease the performance of banking sector. Political events remain the more important component, they affect negatively all the endogenous variables; coefficients in the mean equation show an important decline in term of the return of banking sector ,the stock market and the exchange rate.


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

2020 ◽  
Vol 7 (5) ◽  
pp. 9-18
Author(s):  
Kavita CHAVALI ◽  
◽  
Mohammad ALAM ◽  
Shireen ROSARIO

Author(s):  
Ted Azarmi ◽  
Daniel Lazar ◽  
Joseph Jeyapaul

<p class="MsoBodyText2" style="margin: 0in 34.2pt 0pt 0.5in;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">This paper examines the empirical association between stock market development and economic growth for a period of ten years around the Indian market &ldquo;liberalization&rdquo; event.<span style="mso-spacerun: yes;">&nbsp; </span>We find no support for the hypothesis that the Indian stock market development is associated with the economic growth in that country during the entire event study period of 1981 to 2001.<span style="mso-spacerun: yes;">&nbsp; </span>We find support for relevance of stock market to econmic development during the pre-liberalization sub-period.<span style="mso-spacerun: yes;">&nbsp; </span>We also find a negative correlation between stock market development and economic growth for the post-liberalization period.<span style="mso-spacerun: yes;">&nbsp; </span>We offer a number of hypotheses consistent with the inverse relationship between growth and stock market development in the post-liberalization period.<span style="mso-spacerun: yes;">&nbsp; </span>In particular, our results are consistent with the suggestion that the Indian Stock market is a casino for the sub-period of<span style="mso-spacerun: yes;">&nbsp; </span>post liberalization and for the entire ten-year event study period.</span></span></p>


2019 ◽  
Vol 15 (2-3) ◽  
pp. 358-379
Author(s):  
Iwan Bos ◽  
Wilko Letterie ◽  
Nina Scherl

ABSTRACT This paper conducts an event study analysis to empirically assess the industry-wide impact of cartels. Using a sample of recent European cartel cases, we estimate the effect of the surprise inspection and final decision on the stock market value of cartel and noncartel firms. The overall effect of both events is negative for cartel members and statistically insignificant for noncartel members. However, the impact of the inspection is significantly negative for European noncartel suppliers and for noncartel suppliers in nonchemicals industries. This is consistent with the theory that cartels can create additional damages through positively affecting the performance of their competitors.


2015 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Asha Nadig

This study examines the stock market reaction to stock splits between 2002 and 2013 of 6 sectors of BSE-Auto, Bankex, Consumer Durables, FMCG, Health Care and IT sectors to find out if the Indian stock market is semi-strong efficient or not. The methodology used is event study under the market model. Samples of 14 stock splits are considered spread across 6 sectors. The results indicate that there are significant positive abnormal returns prior to split announcements. On the day of split announcement, 1 sector reacts positively (Health Care-3.3%) and the 5 react negatively (Auto -1%, Bankex -0.9%, CD -0.3%, FMCG -1%, and IT-1%). The results indicate that the null hypothesis, H<sub>0</sub>1, that there is no significant AAR around the stock split announcement dates is accepted.


2020 ◽  
Vol 7 (9) ◽  
pp. 31-37
Author(s):  
Safdar Husain TAHIR ◽  
◽  
Furqan TAHIR ◽  
Nausheen SYED ◽  
Gulzar AHMAD ◽  
...  

2020 ◽  
Vol 7 (7) ◽  
pp. 131-137
Author(s):  
Mohammad Noor ALAM ◽  
◽  
Md. Shabbir ALAM ◽  
Kavita CHAVALI

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