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

By Maurizio d'Amato, Tom Kauko

ISBN-10: 3319497448

ISBN-13: 9783319497440

ISBN-10: 3319497464

ISBN-13: 9783319497464

This ebook addresses a number of difficulties relating to computerized valuation methodologies (AVM). Following the non-agency loan situation, it bargains various methods to enhance the potency and caliber of an automatic valuation method (AVM) facing rising difficulties and diversified contexts. Spatial factor, evolution of AVM criteria, multilevel types, fuzzy and tough set purposes and quantitative easy methods 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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The framework is not complete but may give an introduction on the methodological evolution of AVM and their standards. Before analysing Automated Valuation Methodologies it is important distinguish this kind of analysis from Mass Appraisal. Computer-assisted mass appraisal is normally applied to estimate using statistical modelling a large numbers of properties. Normally for this issue are used big quantity of data and the final result is normally used for tax purposes at a specific date. On the other side Automated Valuation Methodology using often the same methodological framework of mass appraisal, uses a statistical model and a large amount of property data to estimate the market value of an individual property or portfolio of properties.

231 .. .. 232 233 233 .. 242 . . . . . . . 244 246 246 247 248 249 255 . . . . . . . 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.

D’Amato Colwell, P. , Cannady R. , & Wu C. (1983). The analytical foundations of adjutment grid methods. Journal of the American Real Estate and Urban Economics Association, 11, 11–29. d’Amato, M. (2002). Appraising property with rough set theory. Journal of Property Investment and Finance, 20(4), 406–418. d’Amato, M. (2004). A comparison between RST and MRA for mass appraisal purposes. A Case in Bari, International Journal of Strategic Property Management, 8, 205–217. d’Amato, M. (2010). A location value response surface model for mass appraising: An “iterative” location adjustment factor in Bari, Italy.

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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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