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Advances in Automated Valuation Modeling

AVM After the Non-Agency Mortgage Crisis

  • Book
  • © 2017

Overview

Editors:
  1. Maurizio d'Amato

    1. Property Valuation & Investment DICATECh, Technical University Politecnico di Bari, Bari, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Tom Kauko

    1. School of the Built Environment, Oxford Brookes University, Headington, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Discusses the latest automated valuation modeling (AVM) research
  • Focuses on automated valuation modeling (AVM) and computer-assisted modeling
  • Presents applications of numerical methods on mass appraisal models
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 86)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xxxviii
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  2. AVM, Valuation and Non-Agency Mortgage Crises: AVM, Mortgage Crises and Valuation in Person

    1. Front Matter

      Pages 1-1
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    2. A Brief Outline of AVM Models and Standards Evolutions

      • Maurizio d’Amato
      Pages 3-21

    3. Appraisal Methods and the Non-Agency Mortgage Crisis

      • Maurizio d’Amato, Tom Kauko
      Pages 23-32

    4. Automated Valuation Models and Economic Theory

      • Manya M. Mooya
      Pages 33-57

  3. AVM, Valuation and Non-Agency Mortgage Crises: Experiences in AVM

    1. Front Matter

      Pages 59-59
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    2. Automated Valuation Models for the Granting of Mortgage Loans in Germany

      • Franz Eilers, Andreas Kunert
      Pages 61-83

    3. An Estimative Model of Automated Valuation Method in Italy

      • Marina Ciuna, Francesca Salvo, Marco Simonotti
      Pages 85-112

    4. Emerging Markets Under Basel III: Can Moral Hazard Lead to Systematic Risk and Fragility? Analysis of REIT’s in Turkey

      • Kerem Yavuz Arslanlı, Dilek Pekdemir
      Pages 113-138

    5. An Application of Short Tab MCA to Podgorica

      • Maurizio d’Amato, Vladimir Cvorovich, Paola Amoruso
      Pages 139-151

  4. AVM Methodological Challenges: Dealing with the Spatial Issue

    1. Front Matter

      Pages 153-153
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    2. Spatial Analysis of Residential Real Estate Rental Market with Geoadditive Models

      • Vincenzo Del Giudice, Pierfrancesco De Paola
      Pages 155-162

    3. A Spatial Analysis for the Real Estate Market Applications

      • Rocco Curto, Elena Fregonara, Patrizia Semeraro
      Pages 163-179

    4. Location Value Response Surface Model as Automated Valuation Methodology a Case in Bari

      • Maurizio d’Amato
      Pages 181-189

    5. Further Evaluating the Impact of Kernel and Bandwidth Specifications of Geographically Weighted Regression on the Equity and Uniformity of Mass Appraisal Models

      • Paul E. Bidanset, John R. Lombard, Peadar Davis, Michael McCord, William J. McCluskey
      Pages 191-199

    6. Dealing with Spatial Modelling in Minsk

      • Maurizio d’Amato, Nikolaj Siniak, Paola Amoruso
      Pages 201-208

    7. Using Multi Level Modeling Techniques as an AVM Tool: Isolating the Effects of Earthquake Risk from Other Price Determinants

      • Richard Dunning, Berna Keskin, Craig Watkins
      Pages 209-223

    8. The Multilevel Model in the Computer-Generated Appraisal: A Case in Palermo

      • Marina Ciuna, Francesca Salvo, Marco Simonotti
      Pages 225-261

  5. AVM Methodological Challenges: Non Deterministic Modelling

    1. Front Matter

      Pages 263-263
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    2. Automated Valuation Methods in Real Estate Market—a Two-Level Fuzzy System

      • Marco Aurélio Stumpf González
      Pages 265-278
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Keywords

About this book

This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.

Editors and Affiliations

  • Property Valuation & Investment DICATECh, Technical University Politecnico di Bari, Bari, Italy

    Maurizio d'Amato

  • School of the Built Environment, Oxford Brookes University, Headington, United Kingdom

    Tom Kauko

Bibliographic Information

  • Book Title: Advances in Automated Valuation Modeling

  • Book Subtitle: AVM After the Non-Agency Mortgage Crisis

  • Editors: Maurizio d'Amato, Tom Kauko

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-319-49746-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-49744-0Published: 09 February 2017

  • Softcover ISBN: 978-3-319-84231-8Published: 13 July 2018

  • eBook ISBN: 978-3-319-49746-4Published: 28 January 2017

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: XXXVIII, 418

  • Number of Illustrations: 39 b/w illustrations

  • Topics: Computational Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods, Banking

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