IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/293992.html
   My bibliography  Save this paper

Generative AI Tools zur Prognose von Leitzins-Entscheidungen: eine Fallstudie am Beispiel der Leitzinsentscheidungen der Federal Reserve

Author

Listed:
  • Daube, Carl Heinz
  • Krivenkov, Vladislav

Abstract

Dieses Working Paper untersucht den Einsatz von Generative AI Anwendungen zur Prognose von Leitzinsentscheidungen der Federal Reserve. Es bewertet, ob diese Anwendungen eingesetzt werden können, um Leitzinsänderungen vorherzusagen, und vergleicht ihre Vorhersagegenauigkeit mit den Markterwartungen über einen Zeitraum von sechs Monaten.

Suggested Citation

  • Daube, Carl Heinz & Krivenkov, Vladislav, 2024. "Generative AI Tools zur Prognose von Leitzins-Entscheidungen: eine Fallstudie am Beispiel der Leitzinsentscheidungen der Federal Reserve," EconStor Preprints 293992, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esprep:293992
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/293992/1/Generative-AI-Tools-zur-Prognose-von-Leitzins-Entscheidungen.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Künstliche Intelligenz; FED Leitzinsentscheidungen; large language model (LLM); natural language processing (NLP); Generative AI Anwendung ChatGPT; Generative AI AnwendungW Google Gemini;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General

    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:zbw:esprep:293992. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.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.