Research on Stock Price Prediction Based on Catastrophe Theory

Abstract

Based on the catastrophe theory, this paper will select 26 scene indicators for classification and stratification, use different methods to process the data, and then calculate these factors that affect the stock price to obtain the overall comprehensive evaluation of the stock market; used in the research process Eviews analysis software builds an ARIMA time series forecasting model to predict the stock trading information of Zoomlion from 2000 to 2019, and finally compare the models. After testing, the accuracy of the prediction method combined with the analysis result of catastrophe theory is relatively high.