TITLE:
Analysis of Stock Price Forecasts—Taking Midea Group as an Example
AUTHORS:
Jiashu Zhang
KEYWORDS:
Factor Analysis, Regression Analysis, SAS, Stock Price Forecast
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.10 No.9,
August
24,
2022
ABSTRACT: The price of a stock is affected by many factors. On the one hand, it is influenced by various external factors, such as macro factors, microeconomics factors, and on the other hand, it is also affected by internal factors, such as the actual operation of listed companies, at the same time, the impact of domestic and international news will also have an impact on the stock price and stock market, so the prediction of the stock price is very important. Based on the analysis of the technical aspects that affect the stock price, this paper chooses the white horse stock of Midea Group as the research object, from January 1, 2022 to May 27, 2022 on the stock’s opening price, the highest price, the lowest price, quantity, turnover as independent variables; The price of the stock at the close of the next day is a dependent variable. The multivariate linear regression model of dependent variable about independent variable is established, and the model is improved by factor analysis, and the final stock price prediction model is obtained.