IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v70y2024i12p8284-8300.html
   My bibliography  Save this article

Dispersion of Beliefs Bounds: Sentimental Recovery

Author

Listed:
  • Altan Pazarbaşı

    (Faculty of Business Administration, Bilkent University, 06800 Ankara, Turkey)

  • Paul Schneider

    (Universita della Svizzera italiana Lugano and Swiss Finance Institute, 6900 Lugano, Switzerland)

  • Grigory Vilkov

    (Frankfurt School of Finance & Management, 60322 Frankfurt am Main, Germany)

Abstract

We present a nonparametric method to recover a bound on ex ante dispersion of beliefs (DBB) from asset prices with minimal assumptions. DBB constrains the dispersion among all possible distributions in an economy, consistent with observed prices and subject to a good-deal bound. In model-based economies, DBB effectively tracks belief heterogeneity and serves as a diagnostic tool for evaluating model calibrations. Empirically, DBB relates to common proxies of belief dispersion, offering a real-time, market-implied disagreement measure. Our versatile approach applies to both complete and incomplete markets represented by any asset class.

Suggested Citation

  • Altan Pazarbaşı & Paul Schneider & Grigory Vilkov, 2024. "Dispersion of Beliefs Bounds: Sentimental Recovery," Management Science, INFORMS, vol. 70(12), pages 8284-8300, December.
  • Handle: RePEc:inm:ormnsc:v:70:y:2024:i:12:p:8284-8300
    DOI: 10.1287/mnsc.2022.01587
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2022.01587
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2022.01587?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:ormnsc:v:70:y:2024:i:12:p:8284-8300. 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.