| Issue |
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
|
|
|---|---|---|
| Article Number | 04007 | |
| Number of page(s) | 12 | |
| Section | Applications in Industry, Finance & AI Ethics | |
| DOI | https://doi.org/10.1051/itmconf/20258004007 | |
| Published online | 16 December 2025 | |
Combined Document Research: On Influencing Factors of REITS Returns
Yunnan Changshui Foreign Language School, 650211 Kunming, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
This study delves into the important elements that impact the returns of infrastructure (REITs) in the United States (US) Real Estate Investment Trusts. This research makes use of Financial Times Stock Exchange (FTSE) Nareit Industrial Index monthly data from 2012 to 2019. To evaluate the impact of several macro, meso, and microeconomic factors, a Vox Autoregressive model (VAR) is used. Inflation as measured through the Consumer Price Index (CPI) for short, and the expansion of the money supplies are two of the macroeconomic variables that are being deliberated. Household price index (HPI) and return of the public electricity sector are two examples of mesoeconomic variables. The return rate of 10-year Treasury bonds and getting back of the stock market 500-stock index (S&P500) are examples of microeconomic variables. Through an analysis of these characteristics, this article seeks to provide a thorough grasp of what drives infrastructures REITs performance and make a valuable contribution to investing strategy in this field.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.