IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v52y1998i3p273-302.html
   My bibliography  Save this article

Towards a unified framework for high and low frequency return volatility modeling

Author

Listed:
  • T. G. Andersen
  • T. Bollerslev

Abstract

This paper provides a selective summary of recent work that has documented the usefulness of high‐frequency, intraday return series in exploring issues related to the more commonly studied daily or lower‐frequency returns. We show that careful modeling of intraday data helps resolve puzzles and shed light on controversies in the extant volatility literature that are difficult to address with daily data. Among other things, we provide evidence on the interaction between market microstructure features in the data and the prevalence of strong volatility persistence, the source of significant day‐of‐the‐week effect in daily returns, the apparent poor forecast performance of daily volatility models, and the origin of long‐memory characteristics in daily return volatility series.

Suggested Citation

  • T. G. Andersen & T. Bollerslev, 1998. "Towards a unified framework for high and low frequency return volatility modeling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 52(3), pages 273-302, November.
    • Handle: RePEc:bla:stanee:v:52:y:1998:i:3:p:273-302
    DOI: 10.1111/1467-9574.00085
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9574.00085
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-9574.00085?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
    ---><---

    Citations

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


    Cited by:

    1. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    2. Alemany, Nuria & Aragó, Vicent & Salvador, Enrique, 2020. "The distribution of index futures realised volatility under seasonality and microstructure noise," Economic Modelling, Elsevier, vol. 93(C), pages 398-414.
    3. Barucci, Emilio & Reno, Roberto, 2002. "On measuring volatility and the GARCH forecasting performance," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(3), pages 183-200, July.
    4. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    5. Dye, Ronald A., 2001. "An evaluation of "essays on disclosure" and the disclosure literature in accounting," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 181-235, December.
    6. Ergemen, Yunus Emre, 2023. "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1483-1499.

    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:bla:stanee:v:52:y:1998:i:3:p:273-302. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    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.