Advanced Search
MyIDEAS: Login to save this article or follow this journal

Efficient Yield Curve Estimation and Forecasting in Brazil

Contents:

Author Info

  • Ricardo Azevedo Araujo

    (Universidade de Brasilia (UnB))

  • Guilherme V. Moura

    (Vrije Universiteit Amsterdam, Netherlands)

  • Marcelo S. Portugal

    (Federal University of Rio Grande do Sul and CNPq, Brazil Abstract: Modeling the term structure of interest rate is very important to macroeconomists and financial market practitioners in general. In this paper, we used the Diebold-Li interpretation to the Nelson Siegel model in order to fit and forecast the Brazilian yield curve. The data consisted of daily observations of the most liquid future ID yields traded in the BM&F from January 2006 to February 2009. Differently from the literature on the Brazilian yield curve, where the Diebold-Li model is estimated through the two-step method, the model herein is put in the state-space form, and the parameters are simultaneously and efficiently estimated using the Kalman filter. The results obtained for the fit and for the forecast showed that the Kalman filter is the most suitable method for the estimation of the model, generating better forecast for all maturities when we consider the forecasting horizons of one and three months.)

Abstract

No abstract is available for this item.

Download Info

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: http://www.anpec.org.br/revista/vol11/vol11n1p27_51.pdf
Download Restriction: no

Bibliographic Info

Article provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its journal Economia.

Volume (Year): 11 (2010)
Issue (Month): 1 ()
Pages: 27_51

as in new window
Handle: RePEc:anp:econom:v:11:y:2010:i:1:27_51

Contact details of provider:
Postal: Secretaria da ANPEC Rua Tiradentes, 17 - Ingá Niterói, RJ 24210-510 Brazil
Phone: 55-11-3091-6073
Fax: 55-11-3091-6073
Email:
Web page: http://www.anpec.org.br/
More information through EDIRC

Order Information:
Postal: Secretaria da ANPEC Rua Tiradentes, 17 - Ingá Niterói, RJ 24210-510 Brazil
Email:
Web: http://www.anpec.org.br/revista/

Related research

Keywords: Term Structure of the Interest Rate; Yield Curve; State-Space Model; Kalman Filter.;

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
  2. Peter Hordahl & Oreste Tristani & David Vestin, 2003. "A joint econometric model of macroeconomic and term structure," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
Full references (including those not matched with items on IDEAS)

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:anp:econom:v:11:y:2010:i:1:27_51. 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: (Hugo E. A. da Gama Cerqueira).

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.