IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/14604.html
   My bibliography  Save this book chapter

Demand for Information, Uncertainty, and the Response of US Treasury Securities to News

In: Big Data: Long-Term Implications for Financial Markets and Firms

Author

Listed:
  • Hedi Benamar
  • Thierry Foucault
  • Clara Vega

Abstract

We use clickstream data to show that investors’ demand for information about macroeconomic factors affecting the path of future interest rates is a measure of their uncertainty about this path. In particular, an increase in information demand ahead of influential economic announcements affecting investors’ beliefs about future interest rates predicts a stronger reaction of U.S. Treasury note yields to these announcements, as it should if information demand positively covaries with uncertainty. This relationship does not vanish after using standard measures of uncertainty as predictors, suggesting that clickstream data contain unique information about investors’ uncertainty.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Hedi Benamar & Thierry Foucault & Clara Vega, 2021. "Demand for Information, Uncertainty, and the Response of US Treasury Securities to News," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3403-3455, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14604
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Hu, Grace Xing & Pan, Jun & Wang, Jiang & Zhu, Haoxiang, 2022. "Premium for heightened uncertainty: Explaining pre-announcement market returns," Journal of Financial Economics, Elsevier, vol. 145(3), pages 909-936.
    2. Gardner, Ben & Scotti, Chiara & Vega, Clara, 2022. "Words speak as loudly as actions: Central bank communication and the response of equity prices to macroeconomic announcements," Journal of Econometrics, Elsevier, vol. 231(2), pages 387-409.
    3. Alexander Jung & Patrick Kuehl, 2021. "Can central bank communication help to stabilise inflation expectations?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(3), pages 298-321, July.
    4. Roman Kräussl & Alessandro Tugnetti, 2024. "Non‐Fungible Tokens (NFTs): A Review of Pricing Determinants, Applications and Opportunities," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 555-574, April.
    5. Michael D Bauer & Aeimit Lakdawala & Philippe Mueller, 2022. "Market-Based Monetary Policy Uncertainty," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1290-1308.
    6. Lorraine Eden & Stewart R. Miller & Sarfraz Khan & Robert J. Weiner & Dan Li, 2022. "The event study in international business research: Opportunities, challenges, and practical solutions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(5), pages 803-817, July.
    7. Qiu, Yajie & Deschamps, Bruno & Liu, Xiaoquan, 2024. "Uncertainty and macroeconomic forecasts: Evidence from survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 463-480.
    8. Neilson, Jed J., 2022. "Investor information gathering and the resolution of uncertainty," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    9. Andrei, Daniel & Friedman, Henry & Ozel, N. Bugra, 2023. "Economic uncertainty and investor attention," Journal of Financial Economics, Elsevier, vol. 149(2), pages 179-217.
    10. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    11. Hou, Yunfei & Hu, Changsheng, 2023. "Understanding the role of aggregate analyst attention in resolving stock market uncertainty," Finance Research Letters, Elsevier, vol. 57(C).
    12. Martineau, Charles & Mondria, Jordi, 2022. "News Selection and Asset Pricing Implications," SocArXiv ame2f, Center for Open Science.
    13. Adlai Fisher & Charles Martineau & Jinfei Sheng, 2022. "Macroeconomic Attention and Announcement Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5057-5093.
    14. Du, Xiuli & Ao, Zhu & Chai, Yiwei & Ge, Shilong, 2023. "Economic policy uncertainty, investor attention and post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 87(C).

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • 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

    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:nbr:nberch:14604. 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/nberrus.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.