IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v84y2025ics0927539825000763.html

The stock return predictability of treasury bond yield in China

Author

Listed:
  • Zhang, Han
  • Xiong, Xiong
  • Guo, Bin

Abstract

We provide empirical evidence that the average treasury bond yield across one- to ten-year maturities can negatively predict stock returns in the Chinese stock market. The substantial predictive power of bond yield underscores that the flight-to-safety effect associated with treasury bonds plays a predominant role in driving this predictive relationship. However, we find that bond yield does not operate as a systematic risk factor that explains cross-sectional variations in average stock returns, suggesting that it does not qualify as a state variable within the intertemporal capital asset pricing model framework proposed by Merton (1973). Using an affine market price of risk model, we demonstrate that the average bond yield serves as a pivotal determinant of the time-varying pattern of market prices for the market excess return factor, thereby establishing the theoretical foundation for its predictive power regarding stock returns.

Suggested Citation

  • Zhang, Han & Xiong, Xiong & Guo, Bin, 2025. "The stock return predictability of treasury bond yield in China," Journal of Empirical Finance, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:empfin:v:84:y:2025:i:c:s0927539825000763
    DOI: 10.1016/j.jempfin.2025.101654
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539825000763
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jempfin.2025.101654?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:empfin:v:84:y:2025:i:c:s0927539825000763. 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/jempfin .

    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.