Download Advances in Automated Valuation Modeling: AVM After the by Maurizio d'Amato, Tom Kauko PDF

By Maurizio d'Amato, Tom Kauko

ISBN-10: 3319497448

ISBN-13: 9783319497440

ISBN-10: 3319497464

ISBN-13: 9783319497464

This e-book addresses a number of difficulties on the topic of computerized valuation methodologies (AVM). Following the non-agency personal loan situation, it bargains various techniques to enhance the potency and caliber of an automatic valuation technique (AVM) facing rising difficulties and various contexts. Spatial factor, evolution of AVM criteria, multilevel versions, fuzzy and tough set functions and quantitative how you can outline comparables are only a number of the issues discussed.

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Advances in Automated Valuation Modeling: AVM After the Non-Agency Mortgage Crisis

This ebook addresses numerous difficulties relating to automatic valuation methodologies (AVM). Following the non-agency loan problem, it deals a number of methods to enhance the potency and caliber of an automatic valuation technique (AVM) facing rising difficulties and diverse contexts.

Additional resources for Advances in Automated Valuation Modeling: AVM After the Non-Agency Mortgage Crisis

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Quantifying locational variable and proximity . . . . Valuation short tab . . . . . . . . . . . . . Marginal cost application to characteristics of real estate properties to estimate . . . . . . . . . . . . . Table 9 Interval estimation of Short Tab MCA final results . . Table 10 The interval valuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 404 405 405 405 406 407 ..... ..... 407 408 409 Part I AVM, Valuation and Non-Agency Mortgage Crises: AVM, Mortgage Crises and Valuation in Person A Brief Outline of AVM Models and Standards Evolutions Maurizio d’Amato Abstract The paper is a brief outline of the methodological evolution of Automated Valuation Modelling along the time.

1995) observing how outcomes vary with different architectures of neural network-based models. A further application is the self-organizing map (Kauko 2002; Kaklauskas et al. 2012). Another contribution to AVM comes from the application of fuzzy theory. Gonzales et al. (2002) have built a mass appraisal model, where fuzzy rules are extracted from the ANN. Another tool for valuation support is the analytic hierarchy process (AHP). The AHP has been applied by Kauko (2002) and Fischer (2003) also sees a more qualitative approach as an improvement.

Three observations E, F, and G . . . . . . . . . . Opinion of value of property E based on the short tab MCA . . . . . . . . . . . . . . . . . . . Property E percentage error between actual price and appraised value . . . . . . . . . . . . . . . Property F percentage error between actual price and appraised value . . . . . . . . . . . . . . . Property F percentage error between actual price and appraised value . . . . . . . . .

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Advances in Automated Valuation Modeling: AVM After the Non-Agency Mortgage Crisis by Maurizio d'Amato, Tom Kauko


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