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

By Maurizio d'Amato, Tom Kauko

This ebook addresses a number of difficulties concerning computerized valuation methodologies (AVM). Following the non-agency personal loan challenge, it deals quite a few methods to enhance the potency and caliber of an automatic valuation method (AVM) facing rising difficulties and various contexts. Spatial factor, evolution of AVM criteria, multilevel types, fuzzy and tough set purposes and quantitative tips on how to outline comparables are only a few of the subject matters discussed.

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

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At the moment the impact of the sophisticated methodologies is limited by the use of rough method as indexed valuation but seems quite evident the needs of more professional and advanced methodological solution to address the risk of a lending process. , & McGreal, S. (1988). The application of multiple regression analysis in property valuation. Journal of Property Valuation and Investment, 6, 57–67. Adair, A. , Berry, J. , & McGreal, S. W. (1996). Hedonic modelling, housing submarkets and residential valuation.

272 274 274 275 276 276 277 .... 287 . . . . 287 287 288 293 294 295 296 Automated Valuation Methods in Real Estate Market—a Two-Level Fuzzy System Table Table Table Table Table Table Table 1 2 3 4 5 6 7 Variables and statistical properties for data collected . Property size in each module . . . . . . . . . Scheme for HPM estimated in each module . . . . Fuzzy estimate by property size. . . . . . . . Fuzzy estimate by distance . . . . . . . . . . Double fuzzy estimate—by size and distance .

Location value response surface model. . . . . . . Comparing the three model’s main findings . . . . . . . . . Further Evaluating the Impact of Kernel and Bandwidth Specifications of Geographically Weighted Regression on the Equity and Uniformity of Mass Appraisal Models Table 1 Table 2 Dealing with Spatial Modelling in Minsk Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Variables considered in the AVM model . . . . . Descriptive statistics of the sample. . . .

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