IDEAS home Printed from https://ideas.repec.org/a/spr/digfin/v8y2026i1d10.1007_s42521-025-00164-1.html
   My bibliography  Save this article

Implied yields in liquid restaking: an empirical decomposition of market-implied risk and reward premia

Author

Listed:
  • Faris Chaudhry

    (Imperial College London, Department of Computing)

Abstract

Liquid Restaking Tokens (LRTs) allow users to secure multiple Actively Validated Services (AVSs) simultaneously, offering higher rewards to compensate for additional risk. These rewards often include illiquid, intangible assets like points from loyalty programs, making their true yield difficult to observe directly. For the first time, the emergence of yield futures markets, such as those on Pendle, enables the observation of market-implied forward yields for these complex instruments. While prior work has linked implied yield to aggregate proxies like Total Value Locked (TVL), the specific risk and reward components driving these premiums remain underexplored. We address this gap by constructing and analyzing a market-implied LRT premium spread, benchmarked against a more mature Liquid Staking Token (LST) for matched tenors. Our empirical analysis across various LRTs, chains, and maturities reveals systematic patterns in this spread, which we argue represents the market’s aggregate pricing of both future rewards (e.g., anticipated airdrops) and compensation for a spectrum of risks, including correlated AVS slashing and LRT depegging. By dissecting this spread, our work provides a granular understanding of LRT risk-reward profiles and establishes an empirical foundation for future theoretical models designed to quantify these individual components.

Suggested Citation

  • Faris Chaudhry, 2026. "Implied yields in liquid restaking: an empirical decomposition of market-implied risk and reward premia," Digital Finance, Springer, vol. 8(1), pages 1-33, March.
  • Handle: RePEc:spr:digfin:v:8:y:2026:i:1:d:10.1007_s42521-025-00164-1
    DOI: 10.1007/s42521-025-00164-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42521-025-00164-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42521-025-00164-1?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

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:digfin:v:8:y:2026:i:1:d:10.1007_s42521-025-00164-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.