Principle Component Analysis in Chinese Stock Market

Principle component analysis is a popular multivariate statistical data reduction method to extract the primary drivers from a series of potential factors. This study applies principle component analysis methods to analyze the annual financial reports of 52 public companies in Chinese stock market. 

 Data (SAS); Code (SAS); Report is incoming.