Study on Real Estate Market Price Influencing Factors Based on Multiple Linear Regression Model
- DOI
- 10.2991/978-94-6463-706-9_12How to use a DOI?
- Keywords
- Real estate; Multiple linear regression model; CPI index; Exchange rate; Shanghai Composite Index
- Abstract
Real estate price fluctuations significantly affect investors, businesses, and the global economy. This study employs multiple linear regression analysis to identify the primary elements influencing real estate market pricing. An exhaustive literature review of theoretical frameworks influencing real estate prices initiates the inquiry. Data from 2021 to 2024 were subsequently studied through multiple regression analysis to ascertain the factors influencing property prices. The data indicate that the consumer price index, RMB-dollar exchange rate, and stock market volatility influence house prices. This research presents policy recommendations to assist the government and market stakeholders in comprehending and forecasting property market dynamics. This facilitates the formulation of effective policies and plans to enhance stability and growth in the property market.
- Copyright
- © 2025 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.
Cite this article
TY - CONF AU - Guangjie Hu PY - 2025 DA - 2025/05/07 TI - Study on Real Estate Market Price Influencing Factors Based on Multiple Linear Regression Model BT - Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024) PB - Atlantis Press SP - 120 EP - 131 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-706-9_12 DO - 10.2991/978-94-6463-706-9_12 ID - Hu2025 ER -