IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2024-092.html
   My bibliography  Save this paper

Testing the inflation hedging properties of real estate, stocks, precious metals and oil: Evidence using wavelet quantile correlation

Author

Listed:
  • Aya Nasreddine
  • Yasmine Essafi Zouari

Abstract

Using the wavelet quantile correlation (WQC) methodology, we measure the suitability of gold, silver, oil, stocks as well as the French and the G7 countries indirect real estate to hedge against global and energy inflation. The WQC allows us to deal with time-varying characteristics of time series and to capture tail dependence. Besides, it has the advantage of dissolving the correlation structure between asset returns and inflation across different timescales, enabling us to consider different investment horizons. Recorded results over the 2000-2023 period show that the response to inflationary pressures varies according to the asset class, the holding period as well as the type of inflation considered. Whereas precious metals seem to be suitable over short term maturities, French listed real estate displays interesting inflation hedging features as the investment horizon lengthens. Oil emerges as an equivocal hedge against both global and energy inflation.

Suggested Citation

  • Aya Nasreddine & Yasmine Essafi Zouari, 2024. "Testing the inflation hedging properties of real estate, stocks, precious metals and oil: Evidence using wavelet quantile correlation," ERES eres2024-092, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2024-092
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2024-092
    Download Restriction: no

    File URL: https://architexturez.net/system/files/P_20240115130916_7439.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Indirect real estate; Inflation Hedging; Investment horizon; Wavelet quantile correlation;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2024-092. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/eressea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.