IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v37y2008i3p233-264.html
   My bibliography  Save this article

Is It Possible to Construct Derivatives for the Paris Residential Market?

Author

Listed:
  • Michel Baroni

    ()

  • Fabrice Barthélémy

    ()

  • Mahdi Mokrane

    ()

Abstract

In this paper we address the issue of the robustness of the price level, mean, and variance estimates for two sets of repeat sales real estate price indices: the classical WRS method and a PCA factorial method, as elaborated in Baroni, Barthélémy and Mokrane (2007). Our work can be seen as an extension of Clapham, Englund, Quigley and Redfearn (2006), with the aim of helping to judge of the efficiency of such indices in designing real estate derivatives contracts. We use an extensive repeat sales database for the Paris (France) residential market. We describe the dataset used and compute the parameters (drift and volatility) of the indices produced over the period 1982- 2005. The aim here is to test the sensitivity of these two indices to revision due to additional repeat-sales transactions information. Our analysis is conducted on the global Paris market and on submarkets. Our main conclusion is that the revision problem may cause serious concern for the stability of key parameters that are used as inputs in the pricing of derivatives contracts. The impact of index revision is important on the estimate of the index price level. This result is consistent with the finding of the existing literature for the US and Swedish markets. We also find that although the revision impact on the trend estimate can be important, the WRS method seems more robust and derivatives contracts such as swaps may be based on such indices. Finally, and this is probably the most promising result, revision influence on volatility estimates seems to be less stringent, and according to the robustness of the volatility estimate, the BBM factorial index seems to fare relatively better than the WRS index. Hence, we find that the factorial index could better sustain volatility based derivatives such as call or put options.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Michel Baroni & Fabrice Barthélémy & Mahdi Mokrane, 2008. "Is It Possible to Construct Derivatives for the Paris Residential Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 37(3), pages 233-264, October.
  • Handle: RePEc:kap:jrefec:v:37:y:2008:i:3:p:233-264
    DOI: 10.1007/s11146-008-9114-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11146-008-9114-6
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ghysels, E. & Gourieroux, C. & Jasiak, J., 1995. "Market Time and Asset Price Movements: Theory and Estimation," Cahiers de recherche 9536, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. John M. Clapp & Carmelo Giaccotto, 1999. "Revisions in Repeat-Sales Price Indexes: Here Today, Gone Tomorrow?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 27(1), pages 79-104.
    3. Eric Clapham & Peter Englund & John M. Quigley & Christian L. Redfearn, 2006. "Revisiting the Past and Settling the Score: Index Revision for House Price Derivatives," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(2), pages 275-302, June.
    4. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baroni Michel & Barthélémy Fabrice & Mokrane Madhi, 2009. "A repeat sales index robust to small datasets," THEMA Working Papers 2009-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. DeForest McDuff, 2012. "Home Price Risk, Local Market Shocks, and Index Hedging," The Journal of Real Estate Finance and Economics, Springer, vol. 45(1), pages 212-237, June.

    More about this item

    Keywords

    Real estate indices; Repeat sales indices; Index estimates; Real estate derivatives;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jrefec:v:37:y:2008:i:3:p:233-264. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.