Stock Price Forecast based on ARIMA Model-Taking Yowant Technology and New Oriental Online as Examples

Abstract

With the growth in the personal standard of living, public play is also undergoing tremendous changes. Increasingly people begin to take note of and participate in share market investment. Shares have high returns, but also high risks. Many factors limit the share market and unpredictable prices. The share price forecast is of great significance. So, since the birth of the share market, stock price prediction has been a hard nut for shareholders and researchers to probe. This paper selects the closing prices of Shenzhen A-share Yowant Technology and Hong Kong stock New Oriental Online as the time series empirical analysis data forecasts the change price trend of these two stocks in the next 30 days by establishing the ARIMA model, and analyzes which stock will rise more. The empirical results show that the imitative effect of the model is well, and the conclusion is that Hong Kong shares of New Oriental Online will increase significantly in the future, which can supply utility assistance for enterprises and investors enterprises to make corresponding decisions.