Empirical Analysis of Logarithmic Return Rate of China's Financial Stocks—based on the ARMA-GARCH Model

摘要

This paper studies the predicted average prices of financial stocks of 90 Chinese A-share listed financial companies. By analyzing the average daily closing prices from April 3rd, 1991 to July 23rd, 2018, it finds that they are consistent with the GARCH model of time series. Therefore, the model is adopted for data prediction, and the prediction results obtained indicate that the average prices of China's financial stocks will rise in the future.