IDEAS home Printed from https://ideas.repec.org/a/inm/ormoor/v48y2023i3p1423-1453.html
   My bibliography  Save this article

An Equilibrium Model for the Cross Section of Liquidity Premia

Author

Listed:
  • Johannes Muhle-Karbe

    (Department of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom)

  • Xiaofei Shi

    (Department of Statistical Sciences, University of Toronto, Toronto, Ontario M5S 3G3, Canada; Department of Statistics, Columbia University, New York, New York 10027)

  • Chen Yang

    (Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)

Abstract

We study a risk-sharing economy where an arbitrary number of heterogeneous agents trades an arbitrary number of risky assets subject to quadratic transaction costs. For linear state dynamics, the forward–backward stochastic differential equations characterizing equilibrium asset prices and trading strategies in this context reduce to a coupled system of matrix-valued Riccati equations. We prove the existence of a unique global solution and provide explicit asymptotic expansions that allow us to approximate the corresponding equilibrium for small transaction costs. These tractable approximation formulas make it feasible to calibrate the model to time series of prices and trading volume, and to study the cross section of liquidity premia earned by assets with higher and lower trading costs. This is illustrated by an empirical case study.

Suggested Citation

  • Johannes Muhle-Karbe & Xiaofei Shi & Chen Yang, 2023. "An Equilibrium Model for the Cross Section of Liquidity Premia," Mathematics of Operations Research, INFORMS, vol. 48(3), pages 1423-1453, August.
  • Handle: RePEc:inm:ormoor:v:48:y:2023:i:3:p:1423-1453
    DOI: 10.1287/moor.2022.1307
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/moor.2022.1307
    Download Restriction: no

    File URL: https://libkey.io/10.1287/moor.2022.1307?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
    ---><---

    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:inm:ormoor:v:48:y:2023:i:3:p:1423-1453. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.