![Thies Lindenthal](/assets/images/bio-photo.jpg)
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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The MPhils were back in town!
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It was such a joy to welcome back our MPhil alumni and former colleagues for the 2024 MPhil reunion! I truly enjoyed the evening, hearing all about your impressive careers—but, more importantly, seeing old friendships glowing strong and new bonds forming.Sometimes, the beauty of working in education gets lost in the daily grind. Being there with you wonderful people, I felt grateful, sentimental, and curious about your next steps. Thanks to all for the reunion, and I hope to see you again soon!
Continuous learning
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As I sat in the dentist’s chair, waiting for the local anesthetic to kick in, I finally asked the dentist something I had wondered about a few times before: “How do you keep up with new techniques and stay on top of your field?” I inquired, half-expecting a mention of professional courses or medical journals. His response was immediate and enthusiastic: “YouTube!” And that was reassuring.
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.