IDEAS home Printed from https://ideas.repec.org/p/fip/fednls/87139.html
   My bibliography  Save this paper

Forecasting Interest Rates over the Long Run

Author

Abstract

In a previous post, we showed how market rates on U.S. Treasuries violate the expectations hypothesis because of time-varying risk premia. In this post, we provide evidence that term structure models have outperformed direct market-based measures in forecasting interest rates. This suggests that term structure models can play a role in long-run planning for public policy objectives such as assessing the viability of Social Security.

Suggested Citation

  • Tobias Adrian & Richard K. Crump & Peter A. Diamond & Rui Yu, 2016. "Forecasting Interest Rates over the Long Run," Liberty Street Economics 20160718, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednls:87139
    as

    Download full text from publisher

    File URL: https://libertystreeteconomics.newyorkfed.org/2016/07/forecasting-interest-rates-over-the-long-run.html
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    social security; discounting; term structure of interest rates; term premiums;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • G1 - Financial Economics - - General Financial Markets
    • H0 - Public Economics - - General

    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:fip:fednls:87139. 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: Gabriella Bucciarelli (email available below). General contact details of provider: https://edirc.repec.org/data/frbnyus.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.