DocumentCode :
2994625
Title :
The performance of Chinese seasoned equity offerings after equity division reform
Author :
Wang Xiao-wei ; Ning Rui-hai
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
1491
Lastpage :
1496
Abstract :
The performance of seasoned equity offerings has long attracted the attention of scholars and practitioners at home and abroad. Previous research generally supports the “long-term underperformance” effect and has proposed some theoretical explanations. This study investigates the performance after seasoned equity offerings (SEO) employing description statistics methodology and using a sample of new stock issue for the period 2006-2008. Results demonstrate that performance declined in the first year after SEO but soon revived and witnessed an improvement. The drop and rise phenomenon puts forward a chance that the significant “long-term underperformance” effect of seasoned equity offerings after equity division reform may not perfectly work in China. Furthermore, five factors (e.g., earnings management, ownership concentration etc.) influencing performance of seasoned equity offerings are identified with the multi linear regression method. Future research opportunities and implications for practice are also discussed.
Keywords :
finance; organisational aspects; regression analysis; Chinese seasoned equity offerings; SEO; description statistics methodology; equity division reform; long-term underperformance; multilinear regression method; Companies; Indexes; Industries; Investments; Linear regression; Stock markets; equity division reform; long-term performance; multiple linear regression analysis; seasoned equity offerings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
ISSN :
2155-1847
Print_ISBN :
978-1-4673-3015-2
Type :
conf
DOI :
10.1109/ICMSE.2012.6414370
Filename :
6414370
Link To Document :
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