The Quality of Real Estate Data: The Italian Case
The chapter1 discusses issues concerning the quality of property data from different sources and resulting implications for market participants. It is divided into two sections. In the first section, we discuss the nature and availability of property data for the Italian market. Our initial exploration of the quality and accessibility of some domestic data documents the presence of many property data sources, each of which uses different methods of data collection. The high number of data sources and their methodological heterogeneity produce excessive data discrepancies, hardly compatible with efficient research and professional investment processes. Using a set of longitudinal aggregated property values, we proceed to estimate the level of uniformity of data using correlation and cointegration analysis.
KeywordsReal Estate Asset Class Real Estate Investment Cointegration Analysis Augment Dickey Fuller Test
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- Adler, M. (1987) ‘Global asset allocation: Some uneasy questions’, Investment ManagementReview, 1, 13–18.Google Scholar
- Banca d’Italia (2006) ‘New regulations for the prudential supervision of banks’, www.bancaditalia.it (homepage), date accessed 01 July 2012.Google Scholar
- Bank for International Settlements (2005) ‘Real estate indicators and financial stability’, www.bis.org (homepage), date accessed 01 July 2012.Google Scholar
- Bond, S., S. Hwang and G. Marcato (2006) ‘Evaluating unsmoothing procedures for appraisal data’, http://www.areuea.org/ (homepage), date accessed 01 July 2012.
- —(1991) Long Run Economic Relationships (Oxford: Oxford University Press).Google Scholar
- Ge, X. and T. Harfield (2007) ‘The quality of data and data availability for property research’, http://hdl.handle.net/10453/7375 (homepage), date accessed 01 July 2012.
- (1991) ‘Smoothing in appraisal-based returns’, Journal of Real Estate Finance and Economics, 4, 327–45.Google Scholar
- Geltner, D. and D. Ling (2007) ‘Indices for investment benchmarking and return performance analysis in private real estate’, International Real Estate Review, 10, 17–36.Google Scholar
- Greer, G. and P. T. Kolbe (2006) Investment Analysis for Real Estate Decisions (Chicago: Deaborn Real estate Education).Google Scholar
- Kallberg, J. G. and W. T. Ziemba (1984) ‘Mis-specification in portfolio selection problems’ in G. Bamberg and A. Spremann (eds), Risk and Capital (New York: Springer-Verlag).Google Scholar
- Koetter, M. and T. Poghosyan (2008) ‘Real estate markets and bank distress’, http://www.bundesbank.de/ (homepage), date accessed 01 July 2012.
- Lum, S. K. (2004) ‘Property price indices in the Commonwealth – construction methodologies and problems’, Journal of Property Investment & Finance, 22, 25–54.Google Scholar
- Michaud, R. (1998) Efficient Asset Management (New York: Oxford University Press).Google Scholar
- Qi, M. and X. Yang (2009) ‘Loss given default of high loan-to-value residential mortgages’, Journal ofBanking & Finance, 33, 788–99.Google Scholar
- Quan, D. and J. Quigley, (1991) ‘Price formation and the appraisal function in real estate’, Journal of Real Estate Finance and Economics, 4, 127–46.Google Scholar
- Ross, S. and R. Zisler (1991) ‘Risk and return in real estate’, Journal ofReal Estate Finance and Economics, 4, 175–90.Google Scholar
- Stephan, V. A. (2005) ‘Obtaining real estate data: Criteria, difficulties and limitations’, www.bis.org (homepage), date accessed 01 July 2012.Google Scholar
- Yiu, C. Y., B.S. Tang and L. H. T. Choy (2006) ‘Alternative theories of appraisal bias’, Journal of Real Estate Literature, 14, 321–44.Google Scholar
- Zhu, H. B. (2005) ‘The importance of property markets for monetary policy and financial stability’, www.bis.org (homepage), date accessed 01 July 2012.Google Scholar