Analysis and Investment Strategies of Real Estate Market under the Background of Big Data
- DOI
- 10.2991/978-2-38476-475-4_117How to use a DOI?
- Keywords
- Real Estate Market; Big Data; Investment Strategies; City Selection; Investment Portfolio; Risk Prevention
- Abstract
With the rapid development of big data technology, its application in real estate market analysis and investment decision-making has become increasingly important. This paper aims to explore how big data can optimize real estate investment strategies and risk management, and how to improve the transparency and decision-making efficiency of the real estate market. By analyzing the big data of new housing, second-hand housing and land market, it reveals the market dynamics and investment opportunities, and points out that the market of first-tier cities is expected to improve, while the third-tier and fourth-tier cities are facing adjustment pressure. The application of big data in city selection, portfolio optimization and risk prevention and control provide scientific data support for investors and promotes the healthy development of the real estate market. Using big data technology, investors can manage their portfolios more effectively, reduce risks and improve returns.
- 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 - Yan Zhang PY - 2025 DA - 2025/11/11 TI - Analysis and Investment Strategies of Real Estate Market under the Background of Big Data BT - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025) PB - Atlantis Press SP - 1062 EP - 1070 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-475-4_117 DO - 10.2991/978-2-38476-475-4_117 ID - Zhang2025 ER -