上市(财务)
后门
中国
业务
会计
股票市场
交叉上市
首次公开发行
上市公司
财务
政治学
古生物学
公司治理
计算机安全
马
计算机科学
法学
生物
出处
期刊:Financial engineering and risk management
[Clausius Scientific Press, Inc.]
日期:2022-01-01
卷期号:5 (6)
标识
DOI:10.23977/ferm.2022.050601
摘要
In recent years, with the development and progress of China's economy, China's securities market has gradually improved. A large number of Chinese probability stocks that could not be listed in China but chose to be listed overseas for various reasons have chosen to return. On the one hand, due to the resistance to the overseas development of China General Shares and the differences in national conditions, culture, economic development levels and development models, overseas investors are not optimistic about China General Shares; On the other hand, most of the Chinese stocks are Internet and information companies, which are relatively rare among A-share listed companies, and investors are more eager for high-quality targets, which also leads to the P/E ratio of this field being much higher than that of enterprises in related industries of the US stocks. Therefore, many Chinese stock companies have begun to plan to return to the domestic Chinese securities market. After returning to China, it is worthwhile to conduct in-depth research on the way of listing, the effect after listing, and the market reaction of China Concept Shares.This paper mainly summarizes and analyzes the motivation, privatization process and backdoor listing plan of X Company by consulting relevant materials of X Company and the analysis of the current situation of China Concept Shares, and studies the effect of backdoor listing of X Company through the comparative analysis of accounting indicators before and after backdoor listing and the analysis of market reaction, and then analyzes and evaluates the whole process of backdoor listing of X Company, And in view of the problems found in the research process in the process of backdoor listing and after backdoor listing, put forward suggestions to X Company and others.
科研通智能强力驱动
Strongly Powered by AbleSci AI