An Interval Data Factor Analysis Method And Its Application
Huiwen Wang · Application of Statistics and Management · 2004
A new kind of advanced complicated data analysis technology-Interval Data Factor Analysis (IFA)-has been brought forward and used in this paper. Compared with traditional factor analysis technology, the IFA technology can actualize double decreasing dimension, both in proxy dimension and in observation dimension. This paper has introduced the principal of IFA technology detailedly, and regarded style indices of Chinese international trust investment company as the research object. The research result indicates that the style characteristic is disinct in Chinese stock market, which, as well as the factor of scale, has influenced Chinese stock market dramatically. In addition, the paper states that different style indices have remarkable difference in behavior characteristics, such as the Risk-Return quality. The computational analysis has showed that the research result is very consistent with the realistic characteristics of Chinese stock market, which proves that it is very effectual to simplify the multidimensional dynamic data system, with the help of IFA method.