IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v29y2022i5p427-430.html
   My bibliography  Save this article

Is market index autocorrelation attributable to price latency? Evidence from CSI500

Author

Listed:
  • Meng Li
  • Lixin Qiao
  • Fangfang Sun

Abstract

This article discusses the autocorrelation in daily returns of the China Stock Index 500 (CSI500) from the perspective of price latency due to price limit mechanism. We propose limit-up/limit-down (LULD) indices to quantify the price latency in CSI500 as an aggregated number of component stocks closing with LULD in a given trading day. We found that the positive autocorrelation in the CSI500 market index during the data period disappeared after the price latency was controlled. This implies that the autocorrelation we observed may be attributable to the price latency measured by LULD indices. Our findings provide new insight into the dynamic features of market indices and may serve as a workable reference for practical usage of the market index.

Suggested Citation

  • Meng Li & Lixin Qiao & Fangfang Sun, 2022. "Is market index autocorrelation attributable to price latency? Evidence from CSI500," Applied Economics Letters, Taylor & Francis Journals, vol. 29(5), pages 427-430, March.
  • Handle: RePEc:taf:apeclt:v:29:y:2022:i:5:p:427-430
    DOI: 10.1080/13504851.2020.1869161
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2020.1869161
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2020.1869161?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

    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:apeclt:v:29:y:2022:i:5:p:427-430. 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/RAEL20 .

    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.