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Reliability and Heterogeneity of Real Estate Indexes and their Impact on the Predictability of Returns

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Listed author(s):
  • Sampagnaro, Gabriele
  • Battaglia, Francesca

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.

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File URL: https://mpra.ub.uni-muenchen.de/23378/1/MPRA_paper_23378.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 23378.

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Date of creation: 2010
Handle: RePEc:pra:mprapa:23378
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Keywords: real estate; data divergence; IRR; efficient frontier;

Find related papers by JEL classification:

  • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
  • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
  • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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  1. S. Michael Giliberto, 1988. "A Note on the use of Appraisal Data in Indexes of Performance Measurement," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 16(1), pages 77-83.
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  3. Zhenguo Lin & Kerry D. Vandell, 2007. "Illiquidity and Pricing Biases in the Real Estate Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(3), pages 291-330, 09.
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  6. Qi, Min & Yang, Xiaolong, 2009. "Loss given default of high loan-to-value residential mortgages," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 788-799, May.
  7. Bank for International Settlements, 2005. "Real estate indicators and financial stability," BIS Papers, Bank for International Settlements, number 21, March.
  8. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393, April.
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  10. David Geltner & Peiling Wei & David C. Ling, 2007. "Indices for Investment Benchmarking and Return Performance Analysis in Private Real Estate," International Real Estate Review, Asian Real Estate Society, vol. 10(1), pages 93-118.
  11. Koetter, Michael & Poghosyan, Tigran, 2008. "Real estate markets and bank distress," Discussion Paper Series 2: Banking and Financial Studies 2008,18, Deutsche Bundesbank, Research Centre.
  12. John R. Knight & C.F. Sirmans & Alan E. Gelfand & Sujit K. Ghosh, 1998. "Analyzing Real Estate Data Problems Using the Gibbs Sampler," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 469-492.
  13. David Geltner, 1989. "Bias in Appraisal-Based Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 17(3), pages 338-352.
  14. Fisher, Jeffrey D & Geltner, David M & Webb, R Brian, 1994. "Value Indices of Commercial Real Estate: A Comparison of Index Construction Methods," The Journal of Real Estate Finance and Economics, Springer, vol. 9(2), pages 137-164, September.
  15. Ross, Stephen A & Zisler, Randall C, 1991. "Risk and Return in Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 175-190, June.
  16. Geltner, David Michael, 1991. "Smoothing in Appraisal-Based Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 4(3), pages 327-345, September.
  17. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
  18. Tsong-Yue Lai & Ko Wang, 1998. "Appraisal Smoothing: The Other Side of the Story," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(3), pages 511-535.
  19. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
  20. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
  21. Geltner, David & Goetzmann, William, 2000. "Two Decades of Commercial Property Returns: A Repeated-Measures Regression-Based Version of the NCREIF Index," The Journal of Real Estate Finance and Economics, Springer, vol. 21(1), pages 5-21, July.
  22. Quan, Daniel C & Quigley, John M, 1991. "Price Formation and the Appraisal Function in Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 4(2), pages 127-146, June.
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Cited by:

  1. Krzysztof Olszewski, 2013. "The Commercial Real Estate Market, Central Bank Monitoring and Macroprudential Policy," Review of Economic Analysis, Rimini Centre for Economic Analysis, vol. 5(2), pages 213-250, December.

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