The Application of Bayesian Discrimination in the Analysis on Media Sector Stock

Autor: Zhao, Qing Jiang, Sun, Qi, Che, Wen Gang
Zdroj: Applied Mechanics and Materials; January 2014, Vol. 488 Issue: 1 p1310-1313, 4p
Abstrakt: With the rapid development of China's stock market, investment on the stock has become more rational and scientific and the analysis of the role of equity investments is also increasingly important. In this paper, we use 20 publishing and media companies' financial data from 2011 to analyze the profitability, solvency, growth and capital expansion capability with cluster analysis, and then use the Bayesian discrimination analysis to quantify the classification to inspect the results. According to the investment analysis of media section of stocks, we sum up the type and characteristics of the media section stock for the market to grasp each participant to provide effective long-term growth trend in the reference area.
Databáze: Supplemental Index