Price Prediction of Second-hand Houses in Beijing in the Post-epidemic Era Based on ARIMA Model

DOI

10.2991/978-94-6463-268-2_8How to use a DOI?

Keywords

Real estate; ARIMA model; Price forecasting

Abstract

As one of China’s pillar industries, the growth of the national economy is significantly influenced by the real estate sector. Affected by the epidemic, the real estate capital chain is broken, and the real estate market faced crisis. At the beginning of 2023, the national policy was liberalized, and the real estate market gradually recovered. This paper takes the listing price of second-hand residential buildings in Beijing during the epidemic period as the research object, establishes an ARIMA model, analyzes the monthly data during the epidemic period from 2019 to 2023, and uses R software to predict the trend of real estate prices in Beijing in the next two years. The findings indicate that by the start of 2024, Beijing’s second-hand house prices would continue to expand steadily and healthily. The significance of this paper is to use the past and current values of the time series of secondary residential prices to accurately predict real estate prices in the post-epidemic era. These results provide a basis for the national macroeconomic regulation of the real estate market.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mengyao Ren
PY  - 2023
DA  - 2023/10/10
TI  - Price Prediction of Second-hand Houses in Beijing in the Post-epidemic Era Based on ARIMA Model
BT  - Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023)
PB  - Atlantis Press
SP  - 55
EP  - 61
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-268-2_8
DO  - 10.2991/978-94-6463-268-2_8
ID  - Ren2023
ER  -