Housing valuation model: an investigation of residential properties in Tehran

2012 ◽  
Vol 5 (1) ◽  
pp. 20-40 ◽  
Author(s):  
Iman Naderi ◽  
Ahmad Sharbatoghlie ◽  
Ahmadreza Vafaeimehr
2021 ◽  
Vol 29 (1) ◽  
pp. 1-11
Author(s):  
Ephraim K. Munshifwa

Abstract The sales comparison is the most common and universally accepted method in valuation. Although the theoretical entry point of the method is the same across most continents, its application in practice is varied and often determined by local circumstances. This often necessitates the modification of the method. For instance, while Zambian valuation practice uses this method in residential valuation, its application goes beyond the basic valuation model, incorporating a less known technique called the “reduced floor area (RFA)” technique. The RFA technique is a form of relative importance (weight) concept which assesses ancillary buildings on site relative to the main use; for residential properties this is the main house on site. Despite its obscurity in valuation literature, practitioners find its use acceptable within the dictates of local circumstances. Nonetheless, the lack of documentation means knowledge on the technique is transmitted verbally from senior valuers to graduates, and its application is not consistent across the profession, contributing to variances in the assessed values. This necessitates detailed scrutiny of the technique. Data for the study was collected from the Valuation Surveyors Registration Board (VSRB), a statutory body responsible for licensing valuers and regulating valuation practice. This is the first time the RFA technique is being discussed in a scholarly article.


2013 ◽  
Vol 462-463 ◽  
pp. 1081-1086
Author(s):  
Nguyen Vo ◽  
Hao Shi ◽  
Jakub Szajman

An automated property model for prediction of the sales price of residential properties with optimized inputs was developed. Optimised inputs improve efficiency and speed of an Artificial Neural Network (ANN). Property appraisal ANNs have a great potential not only to save time and money but also help local government authorities to determine the tax revenue. While the criteria for the ANN’s number of hidden layer neurons are well known, there is no theory to support the optimisation to ANN inputs. The proposed optimisation to ANN inputs procedure aims to resolve some of the issues in using ANNs especially in the case of automated property valuation modelling (AVM). A brief review of ANNs and their applications is given, followed by the discussion of the ANN design methodology and optimisation. Details of ANN optimisation using Java based Encog 3 and winGamma are presented in this paper. It is shown that optimisation to ANN inputs can improve the accuracy in residential property evaluation using winGamma and Encog 3.


CFA Digest ◽  
2006 ◽  
Vol 36 (1) ◽  
pp. 49-51
Author(s):  
Chenchuramaiah T. Bathala
Keyword(s):  

1985 ◽  
Vol 41 (6) ◽  
pp. 42-48 ◽  
Author(s):  
Daniel Rie
Keyword(s):  

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