원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.9 No.5
2016.05
pp.1-12
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
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자료제공 : 네이버학술정보