
Real Estate Valuation
A Subjective Approach
G. Jason Goddard(Author)
Routledge (Publisher)
1st Edition
Published on 16. December 2021
Book
Hardback
226 pages
978-0-367-53908-5 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
109 s/w Abbildungen, 3 s/w Photographien bzw. Rasterbilder, 106 s/w Zeichnungen, 1 s/w Tabelle
1 Tables, black and white; 106 Line drawings, black and white; 3 Halftones, black and white; 109 Illustrations, black and white
Dimensions
Height: 246 mm
Width: 174 mm
Weight
680 gr
ISBN-13
978-0-367-53908-5 (9780367539085)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
12/2021
1st Edition
Routledge
€97.10
Shipment within 15-20 days

E-Book
12/2021
1st Edition
Routledge
€73.99
Available for download

E-Book
12/2021
1st Edition
Routledge
€73.99
Available for download
Person
G. Jason Goddard is adjunct professor at Wake Forest University and University of North Carolina at Greensboro, USA.
Content
1: From Austrian Value Subjectivity to Shackle's Possibility Curve
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
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