The valuation of intangibles for hotel investments

2004 ◽  
Vol 22 (5) ◽  
pp. 410-423 ◽  
Author(s):  
Sherif Roubi

Reviews the literature on the valuation of intangibles for hotel investments. Contrary to the sceptical outlook portrayed in the literature, demonstrates the effectiveness of ex‐post models and hedonic pricing models (HPM) as an objective and robust tool in separating and measuring intangible hotel property and decomposing total asset value. Develops two HPM models using data on 50 hotel properties appraised in 1997. All hotels are owned and managed by the same hotel company and affiliated with the same brand. Some 58 per cent of the properties are freeholds and the rest are leaseholds. Estimates the hedonic price equations by regressing appraised values on physical, location and economic characteristics of the properties. Results confirm the effectiveness of HPM and in fact its relative superiority to traditional ex‐ante modelling in measuring and decomposing intangible property. As expected at the outset, comparable‐leases and excess‐profits‐based models produced similar results.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gaetano Lisi

PurposeThe aim of this education briefing is to comment upon how basic hedonic pricing models for the valuation of property can be expanded and developed. In this case, the briefing illustrates the use of the new economic approach to the analysis of housing markets, namely the search-and-matching models.Design/methodology/approachThis education briefing discusses the connection of two important economic theories: the hedonic price theory and the search-and-matching theory.FindingsThis education briefing gives an example of a (non-linear) form of the hedonic price function.Practical implicationsIn cases of mass appraisals, hedonic pricing models can provide a broad indication of value across submarkets and this education briefing demonstrates a theoretical model that can be used to provide a theoretical groundwork for the use of a concave hedonic price function in empirical estimates.Originality/valueThis education briefing shows how basic hedonic pricing models can be enhanced by a search-and-matching approach to determine property values.


2000 ◽  
Vol 220 (5) ◽  
Author(s):  
Henning Knautz

SummaryIn hedonic pricing models there is often prior knowledge available which has the form of interval constraints on the unknown coefficients. These are stemming for example from considerations of submarkets for the characteristics involved. In this article we briefly discuss some well known estimators that allow for incorporation of this knowledge. Additionally we introduce two new promising approaches for the same purpose: a modified Bayesian approach and a method applying fuzzy interval constraints. Using data on housing prices we present the results of a Monte Carlo experiment in which these estimators are compared. It turns out that constrained estimation is promising especially in the situation of high multicollinearity and moderate R2 which is typical for hedonic pricing models. We illustrate that estimates and confidence intervals for the unknown coefficients can be improved substantially compared with the conventional unrestricted estimation.


Author(s):  
Mohammad Ali Tareq

Researchers have been considering the realized value as the ex-post realization of theex-ante value. They have argued that that the realized values have failed to estimate the expectedvalue in asset-pricing models. We provide a new definition of the ex-post measurement and weshow that considering realized value as the ex-post realization of the ex-ante value is misleadingand this has led to the failure in estimating the expected value.


2020 ◽  
Vol 5 (3) ◽  
pp. 178
Author(s):  
Haoxuan Lyu ◽  
Zeyuan Liu

<p>On the basis of big data regarding the sold house price in Beijing from 2011 to 2017, this research aims to exhibit a comprehensive and rational deducing progress in character with the justified and formulated variables and visible results to be instrumental in the prediction of housing price in Beijing, and it attributes the dominated factors amongst all dependent variables. In this paper, the hedonic price model is the primary analyzing tool to cope with the intrinsic factors in real-estate estimation and prediction.</p>


CFA Digest ◽  
2003 ◽  
Vol 33 (3) ◽  
pp. 8-9
Author(s):  
Ann C. Logue
Keyword(s):  
Ex Post ◽  

1993 ◽  
Vol 108 (2) ◽  
pp. 135-138
Author(s):  
Pierre Malgrange ◽  
Silvia Mira d'Ercole
Keyword(s):  
Ex Post ◽  

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