IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v61y2024ics1544612323013211.html
   My bibliography  Save this article

On sectoral market efficiency

Author

Listed:
  • Villena, Marcelo J.
  • Araneda, Axel A.

Abstract

A multi-fractional Brownian approach is used to measure the level of sectoral market efficiency through the Hurst exponent, using S&P 500 and sectoral indices data between 2002 and 2022. Our results show that each sector has a particular level of market efficiency, and it cannot be statistically represented by the aggregate market efficiency. However, there are long and short-term relationships between the efficiency of each sector and the level of market efficiency, which tend to vary from one sector to another. Besides, during periods of crisis, market efficiency by sector decreases sharply, and the cross-correlation of efficiency between sectors tends to increase. On the other hand, during the bull periods, the market efficiency could be considered a good hypothesis for the different sectors.

Suggested Citation

  • Villena, Marcelo J. & Araneda, Axel A., 2024. "On sectoral market efficiency," Finance Research Letters, Elsevier, vol. 61(C).
  • Handle: RePEc:eee:finlet:v:61:y:2024:i:c:s1544612323013211
    DOI: 10.1016/j.frl.2023.104949
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323013211
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104949?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.

    More about this item

    Keywords

    Efficient market hypothesis; Economic sectors; Financial risk; Multifractional Brownian motion;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial 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:eee:finlet:v:61:y:2024:i:c:s1544612323013211. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.