IDEAS home Printed from https://ideas.repec.org/a/oup/jfinec/v22y2024i5p1616-1655..html
   My bibliography  Save this article

The Network Factor of Equity Pricing: A Signed Graph Laplacian Approach

Author

Listed:
  • Ajim Uddin
  • Xinyuan Tao
  • Dantong Yu

Abstract

The connections among firms exhibit heterogeneity, complexity, and dynamism, posing a challenge for traditional unsigned network models. This article proposes a signed graph Laplacian approach to construct a dynamic network index (DNI), quantifying the aggregate changes in the market network over time. A larger DNI indicates more significant changes in firms’ interconnectedness and in the market network structure. Firms with higher sensitivity to DNI exhibit lower expected returns. Incorporating DNI into conventional asset pricing models improves return predictability. Results are robust for multiple estimators, various factor models, and different selections of test assets. Our findings suggest that the network factor generates a significant equity risk premium.

Suggested Citation

  • Ajim Uddin & Xinyuan Tao & Dantong Yu, 2024. "The Network Factor of Equity Pricing: A Signed Graph Laplacian Approach," Journal of Financial Econometrics, Oxford University Press, vol. 22(5), pages 1616-1655.
    • Handle: RePEc:oup:jfinec:v:22:y:2024:i:5:p:1616-1655.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jjfinec/nbae010
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    asset pricing; dynamic equity network; economic and financial crisis; Laplacian spectrum; signed graph;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:oup:jfinec:v:22:y:2024:i:5:p:1616-1655.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sofieea.html .

    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.