Study on Real Estate Market Price Influencing Factors Based on Multiple Linear Regression Model

Guangjie Hu ()
Additional contact information
Guangjie Hu: Nankai University, School of Finance

A chapter in Proceedings of the 2024 2nd International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024), 2025, pp 120-131 from Springer

Abstract: 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.

Keywords: Real estate; Multiple linear regression model; CPI index; Exchange rate; Shanghai Composite Index (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-706-9_12

Ordering information: This item can be ordered from
http://www.springer.com/9789464637069

DOI: 10.2991/978-94-6463-706-9_12

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().