IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v89y2024ipbp159-171.html
   My bibliography  Save this article

Uncertainty measure: As a proxy for the degree of market imperfection

Author

Listed:
  • Zhang, Hailiang
  • Sattar, Muhammad Atif
  • Wang, Haijun

Abstract

This study makes a significant contribution to the existing literature on the concept of the “degree of imperfection between markets” and its evaluation model, which was originally developed by Wang and Hsu in 2004. By further expanding upon this foundational framework, Hsu (2010) established that the degree of imperfection between markets also applies within a market and can be operationalized in option markets. With these insights as a basis, this study formulates hypotheses to examine the relationship between the degree of imperfection and three key variables: the absolute error (AE) of call prices, the absolute error (AE) of implied volatility, and uncertainty. The empirical results of the hypothesis reveal a positive association between the degree of imperfection and the AE of call price, AE of implied volatility, and uncertainty. Moreover, the Study introduces Shannon entropy as a measure of uncertainty, and establishes uncertainty as a viable proxy for quantifying the degree of imperfection.

Suggested Citation

  • Zhang, Hailiang & Sattar, Muhammad Atif & Wang, Haijun, 2024. "Uncertainty measure: As a proxy for the degree of market imperfection," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 159-171.
  • Handle: RePEc:eee:reveco:v:89:y:2024:i:pb:p:159-171
    DOI: 10.1016/j.iref.2023.09.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056023003684
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2023.09.013?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.

    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:reveco:v:89:y:2024:i:pb:p:159-171. 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/inca/620165 .

    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.