IDEAS home Printed from https://ideas.repec.org/a/wly/revfec/v44y2026i1ne70022.html

Network information transmission of investor sentiment and asymmetric volatility spillover effects

Author

Listed:
  • Zeguang Li
  • Jianmin Liu
  • Bluford Putnam
  • Arthur Yu

Abstract

This paper employs a two‐layer network approach to examine the interactive spillover effects between investor sentiment and asymmetric volatility in crude oil futures and related agricultural commodity futures. Asymmetric correlations among markets are observed not only in asset returns but also in the volatility spillovers within the double‐layer network. Specifically, the intra‐layer negative volatility spillovers exceed positive volatility spillovers, and the inter‐layer cross‐market spillover relationships are amplified under the interaction between negative volatility and investor sentiment. By decomposing the information structure, we reveal that the dual spillover channels of negative volatility and investor sentiment significantly enhance the informational content of cross‐market linkages. Investor sentiment, notably, provides significant explanatory power for information transmission in the two‐layer network. The information increments derived from the information transmission within the network by investors contribute to portfolio efficiency from the perspectives of risk, return, and cost. Thus, portfolios constructed with the double spillover effects of negative volatility and investor sentiment yield higher Sharpe ratios, with robust out‐of‐sample predictive performance.

Suggested Citation

  • Zeguang Li & Jianmin Liu & Bluford Putnam & Arthur Yu, 2026. "Network information transmission of investor sentiment and asymmetric volatility spillover effects," Review of Financial Economics, John Wiley & Sons, vol. 44(1), January.
  • Handle: RePEc:wly:revfec:v:44:y:2026:i:1:n:e70022
    DOI: 10.1002/rfe.70022
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/rfe.70022
    Download Restriction: no

    File URL: https://libkey.io/10.1002/rfe.70022?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
    ---><---

    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:wly:revfec:v:44:y:2026:i:1:n:e70022. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1873-5924 .

    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.