IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

A Repeat Sales Index Robust to Small Datasets

  • Michel Baroni

    (Finance Department - ESSEC Business School)

  • Fabrice Barthélémy

    (THEMA - Université de Cergy Pontoise)

  • Mokrane Mahdi

    (AEW Europe - AEW Europe)

As suggested by D. Geltner, commercial properties indices have to be built using repeat sales instead of hedonic indices. The repeat sales method is a means of constructing real estate price indices based on a repeated observation of property transactions. These indices may be used as benchmarks for real estate portfolio managers. But the investors in general are also interested in introducing real estate performance in their portfolio to enhance the efficient frontier. Thus, expected return and volatility are the two key parameters. To create and to improve contracts on real estate indices, trend and volatility of these indices must be robust regarding to the periodicity of the index and the volume of transactions. This paper aims to test the robustness of the trend and volatility estimations for two indices: the classical Weighted Repeat Sales (Case & Shiller 1987) and a PCA factorial index (Baroni, Barthélémy and Mokrane 2007). The estimations are computed from a dataset of Paris commercial properties. The main findings are the trend and volatility estimates are biased for the WRS index and not for the PCA factorial index when the periodicity increases. Consequently, the level of the index at the end of the computing period is significantly different for various periodicities in the case of the WRS index. Globally, the PCA factorial seems to be more robust to the number of transactions. Firstly, we present the two methodologies and then the dataset. Finally we test the impact of the number of transactions per period on the trend and volatility estimates for each index and we give an interpretation of the results.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hal-essec.archives-ouvertes.fr/docs/00/55/17/32/PDF/09003_Baroni.pdf
Download Restriction: no

Paper provided by HAL in its series Post-Print with number hal-00551732.

as
in new window

Length:
Date of creation: 01 Jul 2009
Date of revision:
Handle: RePEc:hal:journl:hal-00551732
Note: View the original document on HAL open archive server: http://hal-essec.archives-ouvertes.fr/hal-00551732/en/
Contact details of provider: Web page: https://hal.archives-ouvertes.fr/

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Bernard Thion & Philippe Favarger & Martin Hoesli, 2001. "Indices des ventes répétées et modification de l'environnement immobilier," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(5), pages 809-830.
  2. Daniel P. McMillen & Jonathan Dombrow, 2001. "A Flexible Fourier Approach to Repeat Sales Price Indexes," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(2), pages 207-225.
  3. Clapham, Eric & Englund, Peter & Quigley, John M. & Redfearn, Christian L., 2007. "Revisiting the Past and Settling the Score: Index Revision for House Price Derivatives," Berkeley Program on Housing and Urban Policy, Working Paper Series qt1m2340dt, Berkeley Program on Housing and Urban Policy.
  4. Clapp, John, 1998. "Revisions in Repeat Sales Price Indices: Here Today, Gone Tomorrow?," ERES eres1998_128, European Real Estate Society (ERES).
  5. Hwang, Min & Quigley, John M., 2003. "Selectivity, Quality Adjustment and Mean Reversion in the Measurement of House Values," Berkeley Program on Housing and Urban Policy, Working Paper Series qt4045q0v3, Berkeley Program on Housing and Urban Policy.
  6. Karl E. Case & Robert J. Shiller, 1987. "Prices of Single Family Homes Since 1970: New Indexes for Four Cities," Cowles Foundation Discussion Papers 851, Cowles Foundation for Research in Economics, Yale University.
  7. Maurer, Raimond & Pitzer, Martin & Sebastian, Steffen, 2001. "Construction of a Transaction Based Real Estate Index for the Paris Housing Market," Sonderforschungsbereich 504 Publications 01-17, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  8. Goetzmann, William N & Spiegel, Matthew, 1995. "Non-temporal Components of Residential Real Estate Appreciation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 199-206, February.
  9. Goetzmann, W.N., 1990. "The Accuracy Of Real Estimate Indices: Repeat Sale Estimators," Papers fb-_90-17, Columbia - Graduate School of Business.
  10. Meese, Richard A & Wallace, Nancy E, 1997. "The Construction of Residential Housing Price Indices: A Comparison of Repeat-Sales, Hedonic-Regression and Hybrid Approaches," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 51-73, Jan.-Marc.
  11. Jesse M. Abraham & William S. Schauman, 1991. "New Evidence on Home Prices from Freddie Mac Repeat Sales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 333-352.
  12. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-37, March.
  13. Gatzlaff, Dean H & Haurin, Donald R, 1997. "Sample Selection Bias and Repeat-Sales Index Estimates," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 33-50, Jan.-Marc.
  14. Mokrane, Mahdi & Baroni, Michel, 2001. "Physical Real Estate : Risk Factors and Investor Behaviour," ERES eres2001_236, European Real Estate Society (ERES).
  15. Baroni, Michel & Barthélémy, Fabrice & Mokrane, Mahdi, 2007. "Is it possible to construct derivatives for the Paris residential market?," ESSEC Working Papers DR 07026, ESSEC Research Center, ESSEC Business School.
  16. Michel Baroni & Fabrice Barthe´le´my & Mahdi Mokrane, 2007. "APCA Factor Repeat Sales Index for Apartment Prices in Paris," Journal of Real Estate Research, American Real Estate Society, vol. 29(2), pages 137-158.
  17. Allen C. Goodman & Thomas G. Thibodeau, 1998. "Dwelling Age Heteroskedasticity in Repeat Sales House Price Equations," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 26(1), pages 151-171.
  18. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
  19. Englund, Peter & Quigley, John M. & Redfearn, Christian L., 1998. "Improved Price Indexes for Real Estate: Measuring the Course of Swedish Housing Prices," Journal of Urban Economics, Elsevier, vol. 44(2), pages 171-196, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00551732. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.