The Performance Evaluation Of The Listed Banks In China Based On The Multiple Regression Analysis Model

In recent years, much research and analysis has focused on the Chinese banking efficiency problems in an effort to understand China’s banking system transitional process. This research project aims to investigate the relationship between ROA and other financial variables. All the variables have fulfilled hypotheses were formulated, which are tested by performing multiple regression. By empirically analyzing the operating performance of 16 listed banks, the researcher discovered problems and shortcomings of China’s listed banks in terms of development and operation. The study is carried out using financial data from 16 listed banks annual report for the years 2010- 2013. Secondary data from both time series and cross section time series data, panel data are collected. On the other hand, Commercial banks performance evaluation will be analyzed by multiple regression analysis which is proposed to examine the relationship between financial performance variables. Hypotheses will be tested for each approach and a t-test will help to decide whether the null hypothesis can be rejected. For this study a 0.05 significance level will be considered as threshold. The results will be tested using hypotheses stated later on and by utilization of the aforementioned characteristics of the t-test. Finally, the findings of this study would be of significance for policy makers when seeking to improve performance in banking industry.