IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v32y2019i3p951-991..html
   My bibliography  Save this article

Estimating the Value of Information

Author

Listed:
  • Ohad Kadan
  • Asaf Manela

Abstract

We derive a general expression for the value of information to a price-taking investor in a dynamic environment and provide a framework for its estimation. We study the value of both private and public information and break it into its instrumental and psychic parts. To illustrate, we estimate and rank the values of leading macroeconomic indicators (GDP, employment, etc.). Using variations in option prices, we find that consumer-investors with conventional preference parameters would pay 3 to 5 bps of their wealth for a one-time private peek into these indicators. Such signals provide substantial instrumental value but a minor psychic value.Received August 29, 2016; editorial decision June 6, 2018 by Editor Itay Goldstein. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Suggested Citation

  • Ohad Kadan & Asaf Manela, 2019. "Estimating the Value of Information," The Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 951-991.
    • Handle: RePEc:oup:rfinst:v:32:y:2019:i:3:p:951-991.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhy087
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    2. Rahul Deb & Mallesh M. Pai & Maher Said, 2019. "Dynamic Incentives for Buy-Side Analysts," Working Papers 19-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Liu, Hong & Tang, Xiaoxiao & Zhou, Guofu, 2022. "Recovering the FOMC risk premium," Journal of Financial Economics, Elsevier, vol. 145(1), pages 45-68.

    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:oup:rfinst:v:32:y:2019:i:3:p:951-991.. 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/sfsssea.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.