On Brazil’s Term Structure Stylized Facts and Analysis of Macroeconomic Interactions

This paper characterizes the term structure of Treasury bond yields for Brazil, and estimates a Nelson-Siegel Model to reproduce its stylized facts for the period 2004-2010. For this purpose, this paper uses a software developed by Fund staff. In addition, the paper estimates two versions of the Nel...

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Bibliographic Details
Main Author: Cabral, Rodrigo
Other Authors: Munclinger, Richard, Alves, Luiz, Rodriguez Waldo, Marco
Format: eBook
Language:English
Published: Washington, D.C. International Monetary Fund 2011
Series:IMF Working Papers
Subjects:
Online Access:
Collection: International Monetary Fund - Collection details see MPG.ReNa
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245 0 0 |a On Brazil’s Term Structure  |b Stylized Facts and Analysis of Macroeconomic Interactions  |c Rodrigo Cabral, Richard Munclinger, Luiz Alves, Marco Rodriguez Waldo 
260 |a Washington, D.C.  |b International Monetary Fund  |c 2011 
300 |a 33 pages 
651 4 |a Brazil 
653 |a Interest rates 
653 |a Inflation 
653 |a Sovereign bonds 
653 |a Factor Models 
653 |a Finance 
653 |a Econometric analysis 
653 |a Financial institutions 
653 |a Financial services 
653 |a Deflation 
653 |a General Financial Markets: General (includes Measurement and Data) 
653 |a Investments: Bonds 
653 |a Yield curve 
653 |a Principal Components 
653 |a Price Level 
653 |a Cluster Analysis 
653 |a Bonds 
653 |a Econometric models 
653 |a Banks and Banking 
653 |a Financial Markets and the Macroeconomy 
653 |a Prices 
653 |a Macroeconomics 
653 |a Banking 
653 |a Factor models 
653 |a Interest Rates: Determination, Term Structure, and Effects 
653 |a Central Banks and Their Policies 
653 |a Econometrics 
653 |a Investment & securities 
653 |a Econometrics & economic statistics 
653 |a Classification Methods 
653 |a Central bank policy rate 
700 1 |a Munclinger, Richard 
700 1 |a Alves, Luiz 
700 1 |a Rodriguez Waldo, Marco 
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520 |a This paper characterizes the term structure of Treasury bond yields for Brazil, and estimates a Nelson-Siegel Model to reproduce its stylized facts for the period 2004-2010. For this purpose, this paper uses a software developed by Fund staff. In addition, the paper estimates two versions of the Nelson-Siegel Model that incorporates macroeconomic variables with the aim of assessing the dynamic interactions between the yield curve and the macroeconomy