Sampagnaro, Gabriele and Battaglia, Francesca (2010): Reliability and Heterogeneity of Real Estate Indexes and their Impact on the Predictability of Returns.
Preview |
PDF
MPRA_paper_23378.pdf Download (510kB) | Preview |
Abstract
This paper addresses the issue of data quality in the real estate market. In many countries, the returns indices for direct markets are provided by several sources differing in terms of the methodology adopted and index weights. These differences produce a lack of informative standardization, which could negatively affect the ability of market participants to make predictions. By focusing on the Italian real estate market, the aim of the paper is therefore twofold: to investigate the reliability of property data sources, and to assess the impact for financial intermediaries involved in real estate investments. Our results show a significant level of divergence between the data, and considerable implications for those financial institutions dealing with them. These findings conflict with the requirements of an efficient (or at least sub-efficient) market.
Item Type: | MPRA Paper |
---|---|
Original Title: | Reliability and Heterogeneity of Real Estate Indexes and their Impact on the Predictability of Returns. |
Language: | English |
Keywords: | real estate, data divergence, IRR, efficient frontier |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions L - Industrial Organization > L8 - Industry Studies: Services > L85 - Real Estate Services L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L15 - Information and Product Quality ; Standardization and Compatibility |
Item ID: | 23378 |
Depositing User: | Gabriele sampagnaro |
Date Deposited: | 20 Jun 2010 04:26 |
Last Modified: | 27 Sep 2019 17:12 |
References: | Adler, M., Global Asset Allocation: Some Uneasy Questions, Investment Management Review, September/October, 1987, 13-18. Banca d’Italia, “New regulations for the prudential supervision of banks”, circular n. 263 of 27 December 2006. Bank for International Settlements, Real estate indicators and financial stability, Bis Paper, 2005, Vol. 21. Biasin, M., L'investimento Immobiliare, Il Mulino Bologna: 2005. Bond, S., Hwang, S. and MARCATO, G., Evaluating Unsmoothing Procedures for Appraisal Data, ARES 2006, NUS Symposium 2006. Cacciamani, C., (a cura di), Il Rischio Immobiliare: una Soluzione di Rating dell’Investimento Immobiliare, EGEA, 2003 Carretta, A., Fiordelisi, F., Mattarocci, G., New Drivers of Performance in a Changing Financial World, Palgrave MacMilliam: HoundMills, 2008. Cesarini, F., (a cura di), Banca e Finanza Immobiliare, Bancaria Editrice: Rome, 2003. Cheng P., and Roulac, E., Measuring the Effectiveness of Geographical Diversification, Journal of Real Estate Portfolio Management, 2007, 13, 29-44. Chopra, V. K.. and Ziemba, W. T., The effects of errors in means, variances, and covariances on optimal portfolio choice, Journal of Portfolio Management, 1993, 20, 6–11. Engle, R. F. and Granger, C., Cointegration and error correction: representation, estimation and testing, Econometrica, 1987, 55, 251-76. Engle, R F. and Yoo, B. S., Forecasting and testing in co-integrated systems, Journal of Econometrics, 1987, 35, 143-159. Engle, R.F. and Granger, C.W.J., Long Run Economic Relationships, Oxford University Press, 1991. Fisher J., Geltner D. and Webb, R., Value Indices of Commercial Real Estate: A Comparison of Index Construction Methods, Journal of Real Estate Finance and Economics, 1994, 9, 137-164. Gatzlaff, D. and Geltner, D., A Transaction-Based Index of Commercial Property and its Comparison ot the NCREIF Index, Real Estate Finance, 1998, 15, 7-22. Ge, X. and Harfield, T., The Quality of Data and Data Availability for Property Research, The 13th Pacific Rim Real Estate Society Confe, Perth, Australia, January 2007. Geltner, D., Bias in Appraisal-Based Returns, AREUEA, 1989, 17, 338-352. Geltner, D., Smoothing in Appraisal-Based Returns, Journal of Real Estate Finance and Economics, 1991, 4, 327-345. Geltner, D., and Goetzmann, W., Two Decades of Commercial Property Returns: A Repeated Measure Regression-Based Version of the NCREIF Index, Journal of Real Estate Finance and Economics, 2000, 21, 5-21. Geltner, D., and Ling, D., Indices for Investment Benchmarking and Return Performance Analysis in Private Real Estate, International Real Estate Review, 2007, 10, 17-36. Giaccotto, C. and J. Clapp, Appraisal-Based Real Estate Returns under Alternative Market Regimes, AREUEA Journal, 1992, 20, 1-24. Giannotti, C. and Mattarocci, G.,Real Estate Selection and Portfolio Construction model: Data Analysis from the Italian Market, in Carretta, A., Fiordelisi, F., Mattarocci G., (eds). New drivers of performance in a changing financial world, Palgrave MacMilliam: HoundMills, 2008. Giliberto, M., A Note on the Use of Appraisal Data in Indexes of Performance Measure, Journal of the American Real Estate and Urban Economics Association, 1988, 77–83. Greer, G. E., and Kolbe, P. T., Investment analysis for real estate decisions, 6th ed., Chicago: Deaborn Real estate Education, 2006. Hudson-Wilson, S., Fabozzi, F J. and Gordon, J.N., Why Real Estate? - An Expanding Role for Institutional Investors, Journal of Portfolio Management (Special Real Estate Issue), 2003. Hung, K., Onayev Z. and Tu, C., Time-Varying Diversification Effect of Real Estate in Institutional Portfolios: When Alternative Assets Are Considered, Journal of Real Estate Portfolio Management, 2008, 14, 241-261. Jorion, P., Portfolio optimization with constraints on tracking error, Financial Analysts Journal, 2003, 59, 70-82. Kallberg, J.G., and Ziemba, W. T., Mis-Specification in Portfolio Selection Problems, in Bamberg, G. & Spremann, A. (eds.). Risk and Capital, Springer-Verlag: New York, 1984. Koetter, M., and Poghosyan, T., Real estate markets and bank distress, Discussion Paper Series 2: Banking and Financial Studies, Deutsche Bundesbank, Research Centre,2008, 18. Knight, J. R., Sirmans, C.F., Gelfand, A.E. and Ghosh, S. K., Analyzing real estate data problems using the Gibbs sampler, Real Estate Economics, 1998, 26, 469-492. Lai, T. and K. Wang, Appraisal Smoothing: The Other Side of the Story, Real Estate Economics, 1998, 26, 511-535. Lin, Z., and Vandell K., Illiquidity and Pricing Biases in the Real Estate Markets, Real Estate Economics, 2007, 35, 291-330. Lum, S. K., Property price indices in the Commonwealth – Construction methodologies and problems, Journal of Property Investment & Finance, 2004, 22, 25-54 Markowitz, H. M., Portfolio Selection”, Journal of Finance, 1952, 7, 77–91. Michaud, R., Efficient Asset Management, New York: Oxford University Press 1998. First published by Harvard Business School Press. Phillips, P. C. B. and Perron, P., Testing for a Unit Root in Time Series Regression, Biometrica, 1988, 75, 335-346. Phillips, P. and Ouliaris, S., Asymptotic Properties of Residual Based Tests for Cointegration, Econometrica, 1990, 58, 165-93. Qi, M. and Yang, X., Loss Given Default of High Loan-to-Value Residential Mortgages, Journal of Banking & Finance, 2009, 33, 788-799. Quan, D. and Quigley, J., Price Formation and the Appraisal Function in Real Estate, Journal of Real Estate Finance and Economics, 1991, 4, 127-146. Ross, S. and Zisler R., Risk and Return in Real Estate, Journal of Real Estate Finance and Economics, 1991, 4, 175-190. Seiler, M.J, Webb, J.R. and Meyer, F.C.N., Diversification Issues in Real Estate Investment, Journal of Real Estate Literature , 1999, 7, 163-179. Stephan, V.A., Obtaining real estate data: criteria, difficulties and limitations” BIS Papers chapters, in: Bank for International Settlements (ed.), Real estate indicators and financial stability, 2005, 21, 63-69. Yiu, C.Y., Tang, B.S., Chiang, Y.H. and Choy, L.H.T., Alternative Theories of Appraisal Bias, Journal of Real Estate Literature, 2006, 14, 321-344 Zhu, H.B., The importance of property markets for monetary policy and financial stability, in: Bank for International Settlements (ed.), Real estate indicators and financial stability, 2005, 21, 9-29. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/23378 |