Property valuation methods in practice: evidence from Australia

Purpose Improving valuation accuracy, especially for sale and acquisition purposes, remains one of the key targets of the global real estate research agenda. Among other recommendations, it has been argued that the use of technology-based advanced valuation methods can help to narrow the gap between asset valuations and actual sale prices. The purpose of this paper is to investigate the property valuation methods being adopted by Australian valuers and the factors influencing their level of awareness and adoption of the methods. Design/methodology/approach An online questionnaire survey was conducted to elicit information from valuers practising in Australia. They were asked to indicate their level of awareness and adoption of the different property valuation methods. Their response was analysed using frequency distribution, χ2 test and mean score ranking. Findings The results show that the traditional methods of valuation, namely, comparative, investment and residual, are the most adopted methods by the Australian valuers, while advanced valuation methods are seldom applied in practice. The results confirm that professional bodies, sector of practice and educational institutions are the three most important drivers of awareness and adoption of the advanced valuation methods. Practical implications There is a need for all the property valuation stakeholders to synergise and transform the property valuation practice in a bid to promote the awareness and adoption of advanced valuation methods, (e.g. hedonic pricing model, artificial neural network, expert system, fuzzy logic system, etc.) among valuers. These are all technology-based methods to improve the efficiency in the prediction process, and the valuer still needs to input reliable transaction data into the systems. Originality/value This study provides a fresh and most recent insight into the current property valuation methods adopted in practice by valuers practising in Australia. It identifies that the advanced valuation methods could supplement the traditional valuation methods to achieve good practice standard for improving the professional valuation practice in Australia so that the valuation profession can meet the industry’s expectations.

[1]  Stephen L. Kajewski,et al.  Factors contributing to successful public private partnership projects , 2012 .

[2]  Chunlu Liu,et al.  The effects of the late 2000s global financial crisis on Australia's construction demand , 2013 .

[3]  V. Assimakopoulos,et al.  Real estate appraisal: a review of valuation methods , 2003 .

[4]  Raymond Y. C. Tse An application of the ARIMA model to real‐estate prices in Hong Kong , 1997 .

[5]  P. Colwell,et al.  Who was first? An examination of an early hedonic study , 1999 .

[6]  V. Limsombunchai House Price Prediction: Hedonic Price Model vs. Artificial Neural Network , 2004 .

[7]  Rotimi Abidoye,et al.  Valuers’ receptiveness to the application of artificial intelligence in property valuation , 2017 .

[8]  Adelaide Gray,et al.  Decision making in small property companies , 2000 .

[9]  Sayali Sandbhor,et al.  Use of Artificial Intelligence in Real Property Valuation , 2013 .

[10]  PIERLUIGI MORANO,et al.  Artificial intelligence in property valuations An application of artificial neural networks to housing appraisal , 2015 .

[11]  N. Kok,et al.  A Global Perspective on Pension Fund Investmentsin Real Estate , 2013, The Journal of Portfolio Management.

[12]  Stuart David Paris,et al.  Using artificial neural networks to forecast changes in national and regional price indices for the UK residential property market , 2008 .

[13]  Caroline Sharp,et al.  The Use of Research to Improve Professional Practice: a systematic review of the literature , 2003 .

[14]  O. Adeleye,et al.  Correlates of Land Value Determinants in Lagos Metropolis, Nigeria , 2005 .

[15]  The Future Of The Valuation Profession , 2017 .

[16]  Manya M. Mooya,et al.  Of Mice and Men , 2011 .

[17]  S. Wilkinson,et al.  The future of the Australian valuation profession , 2018, Property Management.

[18]  Rotimi Abidoye,et al.  A survey of property valuation approaches in Nigeria , 2016 .

[19]  Kostas S. Metaxiotis,et al.  Real estate valuation with artificial intelligence approaches , 2007, Int. J. Intell. Syst. Technol. Appl..

[20]  Daniela E. Damian,et al.  Selecting Empirical Methods for Software Engineering Research , 2008, Guide to Advanced Empirical Software Engineering.

[21]  R. Ramsey THE URBAN LAND ECONOMICS TRADITION: HOW HETERODOX ECONOMIC THEORY SURVIVES IN THE REAL ESTATE APPRAISAL PROFESSION , 2004 .

[22]  Bioye Tajudeen Aluko,et al.  Examining valuer's judgement in residential property valuations in metropolitan Lagos, Nigeria , 2007 .

[23]  Chaohai Tao On the use of analytic network process for modeling housing prices : a Chongqing perspective , 2010 .

[24]  James Baxter,et al.  Re-engineering a valuation degree: how did we get here and where do we go? , 2007 .

[25]  Ay se Can,et al.  Spatial Dependence and House Price Index Construction , 1997 .

[26]  Nils Kok,et al.  Big Data in Real Estate? From Manual Appraisal to Automated Valuation , 2017 .

[27]  Clive M.J. Warren,et al.  The Valuation Profession in Australia: Profile, Analysis and Future Directions , 2005 .

[28]  Jozef Zurada,et al.  Non-Conventional Approaches To Property Value Assessment , 2011 .

[29]  M. Tavakol,et al.  Making sense of Cronbach's alpha , 2011, International journal of medical education.

[30]  K. Lam,et al.  An Artificial Neural Network and Entropy Model for Residential Property Price Forecasting in Hong Kong , 2008 .

[31]  Rotimi Abidoye,et al.  Artificial neural network in property valuation: application framework and research trend , 2017 .

[32]  W. Shaw,et al.  Discontinued Operations Recognition, Initial Provisions, And Subsequent Adjustments , 2011 .

[33]  D. J. Lord,et al.  The property market, property valuations and property performance measurement , 1985 .

[34]  Barry Gilbertson,et al.  A vision for valuation , 2005 .

[35]  W. Hughes,et al.  Professionalism and professional institutions in times of change , 2013 .

[36]  M. Mooya The education and professional practice of valuers in South Africa: a critical review , 2015 .

[37]  Nick French,et al.  The valuation of specialised property: A review of valuation methods , 2004 .