Real Estate Valuation

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Bol This textbook highlights the subjective valuation components of residential and commercial real estate which can lead to a range of acceptable property value conclusions. It is suitable for undergraduate and masters students of real estate finance, and will also be useful to practitioners in residential and commercial real estate. Real Estate Valuation: A Subjective Approach highlights the subjective valuation components of residential and commercial real estate, which can lead to a range of acceptable property value conclusions. 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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This textbook highlights the subjective valuation components of residential and commercial real estate which can lead to a range of acceptable property value conclusions. It is suitable for undergraduate and masters students of real estate finance, and will also be useful to practitioners in residential and commercial real estate. Real Estate Valuation: A Subjective Approach highlights the subjective valuation components of residential and commercial real estate, which can lead to a range of acceptable property value conclusions. 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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Pagina's: 226, Editie: Eerste editie, Paperback, Routledge


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  • 9780367539078
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