Thies Lindenthal

Thies Lindenthal

Research and teaching, mostly real estate finance, a bit of Big Data, ML, domain names, and a careful dose of proptech. University of Cambridge, Department of Land Economy.

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“Oft ist die Rede von einem unerklärlich guten Rendite-Risiko-Verhältnis bei Immobilienanlagen. Eine neue Studie hat dies anhand historischer Immobiliendaten untersucht und zeigt: Das viel gepriesene Renditewunder gibt es nicht.”

Deutsch

“Les discussions sur les placements dans la pierre font souvent état d’un rapport rendement-risque étrangement avantageux. Une étude fondée sur des données historiques de l’immobilier démontre que ce rendement miracle n’existe pas.”

Francais

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Blog post: Predictable REIT returns

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The Cambridge Endowment for Research in Finance (CERF) has published a blog post on Kahshin Leow’s and my research on predictable REIT returns: https://www.cerf.cam.ac.uk/blog/blog-2024

Upcoming talks: Research seminars in Reading and London

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This Wednesday (March 20) will be busy: First, I’ll head to the University of Reading for a research seminar (12–1 pm). My paper shows how REIT return predictability increases when machine learning methods are allowed to shine. In the evening (6:15—7:15 pm), I will take part in a seminar on generative AI organised by the Society of Property Researchers in London. Pretty excited to share my work and to meet new and old friends.

Spring

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Spring arrived early this year. The apricot is flowering, to the delight of big bumble bees. Let’s hope there will be no more frosty spells.