IDEAS home Printed from https://ideas.repec.org/p/ebg/essewp/dr-07026.html
   My bibliography  Save this paper

Is it possible to construct derivatives for the Paris residential market?

Author

Listed:

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). We use an extensive repeat sales database for the Paris (France) residential market to compute the parameters 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 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. 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, the 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.

Suggested Citation

  • 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.
  • Handle: RePEc:ebg:essewp:dr-07026
    as

    Download full text from publisher

    File URL: http://www.essec.fr/faculty/showDeclFileRes.do?declId=7530&key=__workpaper__
    Download Restriction: no

    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. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080, April.
    4. 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.
    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; Index revision; Real estate derivatives products;

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ebg:essewp:dr-07026. 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: (Sophie Magnanou). General contact details of provider: http://edirc.repec.org/data/essecfr.html .

    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.