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Performance Research of China’s New Third Board Listed Companies—Based on the Semiconductor Industry
Department of Statistics, College of Economics, Jinan University, Guangzhou, China
- 1 Department of Statistics, College of Economics, Jinan University, Guangzhou, China
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Abstract
This paper uses factor analysis, cluster analysis, discriminant analysis and other methods to conduct multivariate statistical analysis of the semiconductor industry, and evaluates the performance of the enterprise from the financial indicators of the enterprise. KMO test and Bartlett test show that the financial data of the semiconductor industry is very suitable for factor analysis. Through factor analysis and cluster analysis, this paper finally divides 71 semiconductor companies into four categories according to solvency, profitability, operational ability and growth ability, to provide a reference for investors.
KeywordsSemiconductor and Semiconductor Production Equipment CompaniesPerformance EvaluationFactor AnalysisCluster Analysis
- Zhou, M.Q. and Yin, Z.L. (2011) The Formation, Function and Development Trend of the “New Third Board”. Contemporary Economy & Management, 2.
- Pan, Y.J. (2011) China’s New Third Board Transfer Mechanism and Its Reference to International Experiences. Commodity & Quality, S7, 106-107.
- Wei, S.J. (2013) Research on the Promotion of Corporate Finance and Venture Capital Withdrawal by the New Third Board. China Science and Technology Forum, 5, 137-142.
- Wu, X.Z. (2011) Financial Crisis Early Warning Research: Existing Problems and Framework Reconstruction. Accounting Research, 2, 59-65, 97.
- Ye, H.Z., Yang, Q. and Wang, Y.H. (2013) Study on Intelligent Financial Crisis Early Warning and Cause Diagnosis Method—Based on Adaptive Bayesian Network Model SABNM. Audit and Economic Research, 3, 74-82.
- Fruchter, B. (1954) Introduction to Factor Analysis.
- Macqueen, J. (1965) Some Methods for Classification and Analysis of MultiVariate Observations. Proceedings of Berkeley Symposium on Mathematical Statistics & Probability, 14, 281-297.