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Data Mining on PPMA Events of China's Stock Markets

Authors :
Shilin Qiu
Li Jiang
Qiujun Lan
Source :
2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC).
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

P203 events give investors opportunities to gain excess return in stock markets, however, their performance would be influenced by many factors in a quite complicated way. Based on data mining on PPMA events over period 2010–2016 in China's stocks markets, this paper discloses that discount, scale of private placement, size and industry of listed company are some crucial impact factors to excess return, and some specific investment strategies are verified and suggested.

Details

Database :
OpenAIRE
Journal :
2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)
Accession number :
edsair.doi...........ce03a81a93309680ee27420419a7713f