IDEAS home Printed from https://ideas.repec.org/a/taf/jpropr/v37y2020i1p1-24.html
   My bibliography  Save this article

A comparison of realised measures for daily REIT volatility

Author

Listed:
  • Jian Zhou

Abstract

Recent advances in financial econometrics have led to the development of a variety of estimators of asset volatility using frequently sampled price data, known as ‘realised measures’. These estimators rely on different assumptions and take many different functional forms. In this paper, we aim to examine the accuracy of these estimators in the measurement of daily volatility of REIT returns. We consider a wide range of commonly used realised measures and apply them to several major global REIT markets. Our findings suggest that there is no single estimator which can perform the best for all markets under study. The best-performing estimator varies across markets. We obtain our results by considering the accuracy of both volatility estimation and forecast and by using multiple robust evaluation metrics.

Suggested Citation

  • Jian Zhou, 2020. "A comparison of realised measures for daily REIT volatility," Journal of Property Research, Taylor & Francis Journals, vol. 37(1), pages 1-24, January.
    • Handle: RePEc:taf:jpropr:v:37:y:2020:i:1:p:1-24
    DOI: 10.1080/09599916.2019.1693418
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09599916.2019.1693418
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09599916.2019.1693418?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2022. "Forecasting realized volatility of international REITs: The role of realized skewness and realized kurtosis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 303-315, March.
    2. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2020. "Uncertainty due to Infectious Diseases and Forecastability of the Realized Variance of US REITs: A Note," Working Papers 202099, University of Pretoria, Department of Economics.
    3. Bonato, Matteo & Çepni, Oğuzhan & Gupta, Rangan & Pierdzioch, Christian, 2021. "Do oil-price shocks predict the realized variance of U.S. REITs?," Energy Economics, Elsevier, vol. 104(C).

    More about this item

    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:taf:jpropr:v:37:y:2020:i:1:p:1-24. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJPR20 .

    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.