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arXiv · 2008.02629

Developing a real estate yield investment deviceusing granular data and machine learning

Monica Azqueta-Gavaldon·Gonzalo Azqueta-Gavaldon·Inigo Azqueta-Gavaldon·Andres Azqueta-Gavaldon
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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.

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Monica Azqueta-Gavaldon, Gonzalo Azqueta-Gavaldon, Inigo Azqueta-Gavaldon, Andres Azqueta-Gavaldon. 2020-06-20. Developing a real estate yield investment deviceusing granular data and machine learning. https://arxiv.org/abs/2008.02629

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