IDEAS home Printed from https://ideas.repec.org/p/ecl/stabus/3857.html
   My bibliography  Save this paper

Measuring Risk Information

Author

Listed:
  • Smith, Kevin

    (Stanford U)

  • So, Eric C.

    (MIT)

Abstract

We develop a measure of how information events impact investors' perceptions of firms' riskiness. We derive this measure from an option-pricing model where investors anticipate an announcement containing information on the mean and variance of firms' future prices. We apply the measure to firms' earnings announcements and show it has many desirable properties: it predicts firms' return volatilities, risk-factor exposures, implied costs of capital, the timing of heightened volatility, and deterioration in fundamental performance, and outperforms textual-based proxies. Together, our study offers an approach for studying risk information conveyed by information events that is simple to implement and broadly applicable.

Suggested Citation

  • Smith, Kevin & So, Eric C., 2020. "Measuring Risk Information," Research Papers 3857, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:3857
    as

    Download full text from publisher

    File URL: https://www.gsb.stanford.edu/gsb-cmis/gsb-cmis-download-auth/494306
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Beyer, Anne & Smith, Kevin C., 2021. "Learning about risk-factor exposures from earnings: Implications for asset pricing and manipulation," Journal of Accounting and Economics, Elsevier, vol. 72(1).
    2. Tom Adams & Thaddeus Neururer, 2020. "Earnings announcement timing, uncertainty, and volatility risk premiums," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1603-1630, October.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecl:stabus:3857. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/gsstaus.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.