IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v70y2024i8p4995-5015.html
   My bibliography  Save this article

When Bankers Go to Hail: Insights into Fed–Bank Interactions from Taxi Data

Author

Listed:
  • Daniel Bradley

    (Department of Finance, University of South Florida, Tampa, Florida 33620)

  • David Andrew Finer

    (Independent Researcher)

  • Matthew Gustafson

    (Department of Finance, Penn State University, State College, Pennsylvania 16802)

  • Jared Williams

    (Department of Finance, University of South Florida, Tampa, Florida 33620)

Abstract

We introduce taxi ridership between the Federal Reserve (Fed) Bank of New York and large financial institutions headquartered in New York City as a novel proxy for Fed–bank face-to-face interactions. We document a negative relation between past Fed–bank interactions and future stock market returns, particularly on days around the Fed’s public announcements. We also find significantly elevated Fed–bank interactions immediately following the lifting of the Federal Open Market Committee blackout. Our findings suggest that the Fed increases its information gathering via face-to-face interactions when it possesses negative private information about the condition of the economy.

Suggested Citation

  • Daniel Bradley & David Andrew Finer & Matthew Gustafson & Jared Williams, 2024. "When Bankers Go to Hail: Insights into Fed–Bank Interactions from Taxi Data," Management Science, INFORMS, vol. 70(8), pages 4995-5015, August.
  • Handle: RePEc:inm:ormnsc:v:70:y:2024:i:8:p:4995-5015
    DOI: 10.1287/mnsc.2023.4885
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2023.4885
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2023.4885?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:8:p:4995-5015. 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.