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

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.

preprint2020arXivOpen access
Monica Azqueta-GavaldonGonzalo Azqueta-GavaldonInigo Azqueta-GavaldonAndres Azqueta-Gavaldon
q-fin.GN
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Monica Azqueta-GavaldonGonzalo Azqueta-GavaldonInigo Azqueta-GavaldonAndres Azqueta-Gavaldon

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