Developing a real estate yield investment deviceusing granular data and machine learning
General Finance
2020-08-07 v1
Abstract
This project aims at creating an investment device to help investors determine which real estate units have a higher return to investment in Madrid. To do so, we gather data from Idealista.com, a real estate web-page with millions of real estate units across Spain, Italy and Portugal. In this preliminary version, we present the road map on how we gather the data; descriptive statistics of the 8,121 real estate units gathered (rental and sale); build a return index based on the difference in prices of rental and sale units(per neighbourhood and size) and introduce machine learning algorithms for rental real estate price prediction.
Cite
@article{arxiv.2008.02629,
title = {Developing a real estate yield investment deviceusing granular data and machine learning},
author = {Monica Azqueta-Gavaldon and Gonzalo Azqueta-Gavaldon and Inigo Azqueta-Gavaldon and Andres Azqueta-Gavaldon},
journal= {arXiv preprint arXiv:2008.02629},
year = {2020}
}