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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 488-489)
• Pages: 1310-1313
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.488-489.1310
• Online since: January 2014
• Authors: Qing Jiang Zhao, Qi Sun, Wen Gang Che*
• Keywords: Bayesian Discrimination, Cluster Analysis, Discriminate Analysis, Media Section

References

[1] Xiao Qun. Multivariate Statistical Analysis, [M]. Beijing: China Renmin University Press, (2004).

[2] Dujin Min. Modern portfolio theory development and limitations [J]. Investment and Securities, (1999).

[3] Wang Dongmei. Establishment of performance of listed companies comprehensive evaluation index system [J]. Securities and Investments, 2001 (1): 84 - 87.

[4] Ren Zhijuan. SPSS in the correct use of discriminant analysis method [J]. Statistics and Decision, 2006 (2): 157.

[5] ZHOU force. Dongjing Rong: FISHER investment value of listed companies discriminant analysis [J]. Statistics and Decision, 2006 (14) : 44-46.

[6] Deng Haiyan cluster analysis and discriminant analysis of the difference [J]. Wuhan Journal, (2006).