An Event Study of Reverse Stock Splits in Hong Kong Market

2003 ◽  
Author(s):  
Lihua Jing
Keyword(s):  
Hong Kong ◽  
Event Study ◽  
Stock Splits ◽  
Reverse Stock Splits

Numerosity: Forward and Reverse Stock Splits

2019 ◽  
Vol 21 (3) ◽  
pp. 323-335
Author(s):  
Jessica West ◽  
Carol Azab ◽  
K. C. Ma ◽  
Michael Bitter
Keyword(s):  
Stock Splits ◽  
Reverse Stock Splits

Multiple reverse stock splits (investors beware!)

2013 ◽  
Vol 39 (2) ◽  
pp. 357-369 ◽  
Author(s):  
Claire E. Crutchley ◽  
Steven Swidler
Keyword(s):  
Stock Splits ◽  
Reverse Stock Splits

Reverse Stock Splits in the Biotechnology Industry: An Effectuation Approach

2015 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Wu ◽  
Robert Couch ◽  
Yulianto Suharto ◽  
Mark J. Ahn
Keyword(s):  
Abnormal Returns ◽  
Biotechnology Industry ◽  
Stock Splits ◽  
Firm Age ◽  
Split Ratio ◽  
Ratio Size ◽  
Reverse Stock Splits ◽  
Biotech Industry ◽  
Reverse Stock Split

Using an effectuation theory lens, we study reverse stock splits in the biotech industry where significant uncertainty makes specific scenarios of success difficult to predict. We conjecture and find that, in contrast to other environments where there is less uncertainty, reverse stock splits in the biotech industry are followed by positive abnormal returns over the subsequent 1- to 12-months. Also consistent with our effectuation-based predictions, we find that these returns are positively related to the reverse split ratio, size, cash holding, and long-term debt, and negatively related to the market-to-book ratio and firm age. We also find that liquidity increases after a reverse stock split. These results suggest that the concept of effectuation theory is better suited to analyzing reverse stock splits in the biotech industry. 

scholarly journals Normal and reverse stock splits in the V4 countries

2016 ◽  
Vol 13 (4) ◽  
pp. 95-105 ◽  
Author(s):  
Manuela Raisová ◽  
Martin Užik ◽  
Christian M. Hoffmeister
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Stock Splits ◽  
Announcement Date ◽  
Reverse Stock Splits ◽  
Stock Split ◽  
Reverse Stock Split ◽  
A Company

The economic crisis has forced managers of joint stock companies to look for short-term solutions for the sharp changes in stock prices of their companies. Even the companies of the V4 countries are not the exception. The authors have focused on those companies where have been used either reverse stock split or stock split. They analyzed the effects of the reverse stock split or stock splits on the abnormal returns of stocks. In this paper, the authors analyzed a dataset from 1993 until 2015 with 124 reverse stock splits and 184 stock splits in total focused on the stock market in V4. Based on their own research they conclude that when reverse stock splits were used stock returns significantly decreased one day around the announcement date. They conclude that managers of a company might use this instrument to move the stock price back to the optimal trading range outside of the penny stock area. In the case of stock splits, the authors concluded that the use of this tool results in a significant increase in the returns of a stock after the announcement date. However, the results are in contrast to some former studies which found no positive effect on the returns caused by stock splits. The authors conclude that managers of a company might use this instrument to transport information content of future (positive) performance of a company to the traders. Keywords: Vysegrad group countries, normal stock split, reverse stock split, abnormal returns. JEL Classification: G11, G23, G32

An Empirical Study of Stock Split Announcements of Select BSE Sectors Using Event Study Methodology

2015 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Asha Nadig
Keyword(s):  
Health Care ◽  
Stock Market ◽  
Event Study ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Consumer Durables ◽  
Stock Market Reaction ◽  
Stock Split ◽  
Indian Stock Market

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.

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