IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v29y2022i15p1399-1404.html
   My bibliography  Save this article

Behavioural heterogeneity and equity premium volatility in China

Author

Listed:
  • Zhong-Qiang Zhou
  • Ping Huang
  • Desheng Fu
  • Wei Zhang

Abstract

This paper develops a simple heterogeneous agents model with fundamentalists and chartists. It examines whether investors’ behavioural heterogeneity is related to excess volatility of equity premium in the Chinese stock market. To calculate deviations between the realized and expected values of the equity premium, we use consumption growth model and dividend growth model to estimate the expected equity premiums of CSI 300 from January 2005 to December 2019. After estimating the heterogeneous agents model using the CSI 300 monthly data, we find that investors’ heterogeneity in price trends and trading strategies can significantly explain excess volatility of equity premium. Our analysis of two significant fluctuations, specifically the booms and busts of 2007–2008 and 2014–2015, further corroborates our key finding that investors’ behavioural heterogeneity plays an important role in explaining excess volatility of equity premium.

Suggested Citation

  • Zhong-Qiang Zhou & Ping Huang & Desheng Fu & Wei Zhang, 2022. "Behavioural heterogeneity and equity premium volatility in China," Applied Economics Letters, Taylor & Francis Journals, vol. 29(15), pages 1399-1404, September.
  • Handle: RePEc:taf:apeclt:v:29:y:2022:i:15:p:1399-1404
    DOI: 10.1080/13504851.2021.1937033
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2021.1937033
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2021.1937033?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:15:p:1399-1404. 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.