IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

A three-factor econometric model of the U.S. term structure

Listed author(s):
  • Frank F. Gong
  • Eli M. Remolona

We estimate and test a model of the U.S. term structure that fits both the time series of interest rates and the cross-sectional shapes of the yield and volatility curves. In the model, three unobserved factors drive a stochastic discount process that prices assets so as to rule out arbitrage opportunities. The resulting bond yields are conveniently affine in the factors. We use monthly zero-coupon yield data from January 1986 to March 1996 and estimate the model by applying a Kalman filter that takes into account the model's no-arbitrage restrictions and using only three maturities at a time. The parameter estimates describe a first factor that reverts slowly to a fixed mean and a second factor that reverts relatively quickly to a time-varying mean serving as the third factor. The estimates are robust to the choice of maturities, suggesting that these factors give us an adequate model.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

File URL:
Download Restriction: no

Paper provided by Federal Reserve Bank of New York in its series Research Paper with number 9619.

in new window

Date of creation: 1997
Handle: RePEc:fip:fednrp:9619
Contact details of provider: Postal:
33 Liberty Street, New York, NY 10045-0001

Web page:

More information through EDIRC

Order Information: Email:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fip:fednrp:9619. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Amy Farber)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.