2011
DOI: 10.1108/14635781111150286
|View full text |Cite
|
Sign up to set email alerts
|

A new paradigm for real estate valuation?

Abstract: PurposeThe purpose of this exploratory paper is to examine the efficient market theories and to argue that a new paradigm or an expanded paradigm is needed for the valuation of real estate. This may actually not be a new paradigm but it may be necessary to go back in time to make the valuation models that are used more realistic and to try to include the realities that there are many diverse actors in the real estate marketplace and their actions are important and should not be assumed away. Behavior matters a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
26
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 31 publications
(26 citation statements)
references
References 28 publications
0
26
0
Order By: Relevance
“…These correlations are used as initial values in a Gaussian function that generates capacities of attributes under logical conditions, Shapley's axioms and Sugeno's criteria of nonlinear monotonic increase of contributions (Grabisch and Raufaste, 2008). The choice of that function rests on several arguments; notably, it is known that real estate price formation usually obeys a Gaussian law of behavior (Wyman et al, 2011), responding adequately to the criteria of Sugeno (1974) in building the fuzzy measures of capacities. The total capacity in the Gauss integral is assumed to cover well the functional behavior of decisions on the probable value of combinations, contributing to a more decrease in bias factor.…”
Section: Global Separate Valuesmentioning
confidence: 99%
“…These correlations are used as initial values in a Gaussian function that generates capacities of attributes under logical conditions, Shapley's axioms and Sugeno's criteria of nonlinear monotonic increase of contributions (Grabisch and Raufaste, 2008). The choice of that function rests on several arguments; notably, it is known that real estate price formation usually obeys a Gaussian law of behavior (Wyman et al, 2011), responding adequately to the criteria of Sugeno (1974) in building the fuzzy measures of capacities. The total capacity in the Gauss integral is assumed to cover well the functional behavior of decisions on the probable value of combinations, contributing to a more decrease in bias factor.…”
Section: Global Separate Valuesmentioning
confidence: 99%
“…As a starting point, we examined theoretical papers on real estate (valuation) behaviour research as provided by DeLisle (1985), Diaz (1999), Diaz and Hansz (2007) and Wyman et al (2011) to identify relevant papers on valuer judgement behaviour. Analogue to the technique of snowball sampling (Verschuren & Doorewaard, 2015) we applied author citation search to assemble other relevant studies in this area.…”
Section: Data Search and Analysismentioning
confidence: 99%
“…However, little is known on the emphasis of the research undertaken. Although Diaz (1999) Diaz and Hansz (2007) and Wyman, Seldin, and Worzala (2011) have provided partial overviews of behavioural studies and the behavioural paradigm in valuation, to our knowledge no systematic review of empirical studies on valuer judgement behaviour has been conducted over the last 30 years.…”
Section: Introductionmentioning
confidence: 99%
“…The current trends of land grabbing call for the need to comprehensively research land investment expediency, trends. Although scientific literature is rich in the studies to focus on the issues of real estate development (the development of international and local real estate markets was analysed by Wyman, Seldin, and Worzala (2011), Tiwari and White (2014), Hin, Ho, and Addae-Dapaah (2014), Faulkner (2016), Dong and Sing (2017), etc. ; the dynamics of the investment in real estate were studied by Gholipour Fereidouni and Masron (2013), Patterson (2013), French (2015), etc.…”
Section: Introductionmentioning
confidence: 99%