EconPapers    
Economics at your fingertips  
 

Forecasting Yield Curves Using Analyst's Views

Leonardo Nogueira ()
Additional contact information
Leonardo Nogueira: ICMA Centre, University of Reading and Banco Central do Brasil

ICMA Centre Discussion Papers in Finance from Henley Business School, University of Reading

Abstract: Fixed income analysts are accustomed to monitoring a few benchmark yields on a continuous basis and to providing point estimates for these yields, or for a combination of them. Yet, the optimisation of fixed income portfolios requires an accurate forecast of not only a few benchmark yields, but of complete yield curves. This paper derives a forecast of one or more yield curves that is consistent with an analyst's views. The model is based on a novel application of principal component analysis (PCA). It can be extended to other markets and has no restrictions on the number of forecast variables, or the number of analyst's views. We consider examples of forecasting the government bond yield curves of the United States, the Eurozone and the United Kingdom, simultaneously or not. Our results have direct implications for portfolio management.

Keywords: Yield curves; forecasting models; scenario analysis; principal component analysis. (search for similar items in EconPapers)
JEL-codes: C14 C53 G17 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2009-04
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rdg:icmadp:icma-dp2009-03

Access Statistics for this paper

More papers in ICMA Centre Discussion Papers in Finance from Henley Business School, University of Reading Contact information at EDIRC.
Bibliographic data for series maintained by Marie Pearson ().

 
Page updated 2025-03-31
Handle: RePEc:rdg:icmadp:icma-dp2009-03