IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-598-0_14.html

The Evolution of Taylor Rules and Its Simulation Analysis

In: Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)

Author

Listed:
  • Guangyi Cai

    (Xiamen University, School of mathematical sciences)

Abstract

Taylor rules are one of the most frequently applied monetary policy guidelines by the Federal Reserve, and also an important tool for the market to analyze and predict the trend of the Federal Reserve’s policy interest rate. However, after 2000, especially after the subprime mortgage crisis, the explanatory and indicative function of Taylor rules for policy interest rates has significantly decreased. Against this background, Federal Reserve officials and economists have made a series of revisions to the variables and parameters used in Taylor rules, and several revised versions of the original Taylor rules have appeared one after another. Empirical tests have been conducted on the fit between the theoretical interest rate and the federal funds rate on several of the main versions. At the same time, it was found that the Fed’s policy interest rate adjustment actions generally lag behind the guidance of Taylor rules, and the width of the interest rate range under the guidance of Taylor rules is generally larger than the adjustment range of the Fed’s policy interest rate.

Suggested Citation

  • Guangyi Cai, 2024. "The Evolution of Taylor Rules and Its Simulation Analysis," Advances in Economics, Business and Management Research, in: Qiujing Wu & Songsong Liu & Guoliang Wang & Jia Li (ed.), Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024), pages 115-125, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-598-0_14
    DOI: 10.2991/978-94-6463-598-0_14
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-598-0_14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.