Earticle

초록

영어

Extensive studies from American and some European stock markets have pointed out that venture capital (VC) has a constructive influence on sustainable developments of their invested companies. In this paper, RBF neural network, principal component analysis, and mean variance analysis are functional and well utilized to test the effects of VCs on enterprises' post-IPO performances in China. The empirical results indicate that venture capitals in China brought undesirable effects to both operating performance and market performance, but performed well in controlling harmful volatility. Therefore, we believe VC in China has a certain positive external but not internal influence on sustainable developments of their invested companies.

목차

Abstract
 1. Introduction
 2. Material
  2.1. Data
  2.2. Introduction of Financial Indicators
 3. Methodology and Empirical Analysis
  3.1. Rationality Test of Indicators and Data
  3.2. PCA of Listed Enterprises’ Performances
  3.3. Mean Variance Analysis of Returns on Invested Enterprises
 4. Conclusion
 References

키워드

저자

• Tao Li [ School of Economics and Management, North China Electric Power University, Beijing, China ]
• Fang Zhang [ School of Economics and Management, North China Electric Power University, Beijing, China, State Tobacco Monopoly Administration, Beijing, China ]
• Hao Liu [ School of Economics and Management, North China Electric Power University, Beijing, China ]
• Tianle Zhai [ School of Electrical Engineering, Zhengzhou University, Zhengzhou, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605