PREDICTION OF REAL ESTATE INVESTMENT IN ZHEJIANG PROVINCE BASED ON SARIMA MODEL
Author:
Liu Bingjie, Ye Shanli
This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Taking the monthly flow data of real estate investment in Zhejiang Province from 2000 to 2020 as the research sample models of SARIMA, LSTM and Prophet are established based on the contributing factors such as the time trend, seasonal cycle, emergencies to predict the real estate investment in Zhejiang Province. And then, the predictability of the three different models are analyzed by comparing the values of RMSE, MAE and MAPE. The results show that the SARIMA has better performance in predictability than that of LSTM and Prophet Model.
| Pages | 01-05 |
| Year | 2022 |
| Issue | 1 |
| Volume | 1 |
