Author(s)

Yijia Liu, Ke Li

Corresponding Author

Yijia Liu

Abstract

House prices have always been a critical issue for people's livelihood. Strengthening the scientific forecasting and monitoring of housing price trends is an essential part of the government's implementation of the "effective control of housing prices and stable housing prices." Taking Taiyuan City as an example, this paper establishes a GM (1, 1) prediction model based on the data of the average price of commercial housing from January 2019 to October 2019. Then the error test is performed on the predicted data and the actual data. The experimental results show that the GM (1, 1) model can be used to make short- and medium-term forecasts of house prices. Finally, the model is used to predict the average price of commercial housing in Taiyuan City in the next year and a half.

Keywords

Taiyuan City; GM (1, 1) model; house price forecast