
Real Estate Valuation
Description
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It discusses the causes of housing booms and goes in depth into the heterogeneity of commercial real estate property valuation via examples from owner-occupied, multifamily residential, hotel, office, retail, warehouse, condo conversion, and mortgage-backed security areas of real estate. Other topics explored include the role of machine learning and AI in real estate valuation, market participant value perceptions, and the challenge of time in the valuation process. The primary theoretical basis for the range of acceptable values and the subjectivity of property valuation focuses on the work of G.L.S. Shackle from the Austrian School of Economics.
This illuminating textbook is suitable for undergraduate and master's students of real estate finance, and will also be useful for practitioners in residential and commercial real estate.
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Content
2: The Role of Machine Learning and AI in Real Estate Valuation
3: Overview and Pitfalls of Home Valuation Subjectivity
4: Subjectivity of Commercial Real Estate Valuation
5: Market Participant Value Perceptions
6: Subjectivity of Cap Rates, Discount Rates, and Debt Yields
7: Subjectivity in Hotel Property Valuation
8: The Discounted Sellout and Subjectivity
9: Mortgage Backed Securities and Subjectivity
10: The Provocation of Time
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File format: PDF
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