DocumentCode :
3721336
Title :
Stock price fluctuation under asymmetric information
Author :
Cheng Liu; Lan Tian; Yuting Huangfu; Lili Chen
Author_Institution :
Dongling School of Economics and Management, University of Science and Technology Beijing, China
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Basing on EKOP information trading model analysis framework, we selected 50 stocks each as sample from the mainboard, small and medium-sized board and GEM (Growth Enterprises Market) in Chinese stock market for empirical analysis. This paper discusses the fluctuation of stock price under the information asymmetry. Preliminary empirical results show that the average daily turnover rate and probability of informed trading has positive correlation, and it does not conform to the theoretical derivation. As for the empirical improvement, the liquidity risk, average stock price and probability of informed trading as supplementary explanation variables are introduced to do regression analysis. The results show that under the condition of asymmetric information, the higher the stock prices is, the greater the information transaction risk raises; the larger the value of the probability of informed trading becomes, the greater the impact on stock price fluctuation brings; meanwhile, the liquidity risk has no directly influence on the information transaction risk and stock price fluctuation.
Keywords :
"Mathematical model","Stock markets","Fluctuations","Maximum likelihood estimation","Correlation","Analytical models"
Publisher :
ieee
Conference_Titel :
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type :
conf
DOI :
10.1109/LISS.2015.7369616
Filename :
7369616
Link To Document :
بازگشت