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Forecasting the Brazilian Term Structure Using Macroeconomic Factors

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  • Almeida, Caio
  • Faria, Adriano

Abstract

This paper studies the forecasting of the Brazilian interest rate term structure using common factors from a wide database of 171 macroeconomic series, from the period of January 2000 to May 2012. Firstly the model proposed by Moench (2008) was implemented, in which the dynamic of the short term interest rate is modeled using a FAVAR and the term structure is derived using the restrictions implied by no-arbitrage. Similarly to the original study, this model resulted in better predictive performance when compared to the usual benchmarks, but presented deterioration of the results with increased maturity. To avoid this problem, we proposed that the dynamic of each rate be modeled in conjunction with the macroeconomic factors, thus eliminating the no-arbitrage restrictions. This attempt produced superior forecasting results. Finally, the macro factors were inserted in the model proposed by Diebold and Li (2006).

Suggested Citation

  • Almeida, Caio & Faria, Adriano, 2014. "Forecasting the Brazilian Term Structure Using Macroeconomic Factors," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 34(1), March.
  • Handle: RePEc:sbe:breart:v:34:y:2014:i:1:a:16642
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    Cited by:

    1. Vieira, Fausto & Fernandes, Marcelo & Chague, Fernando, 2017. "Forecasting the Brazilian yield curve using forward-looking variables," International Journal of Forecasting, Elsevier, vol. 33(1), pages 121-131.
    2. Renata Tavanielli & Márcio Laurini, 2023. "Yield Curve Models with Regime Changes: An Analysis for the Brazilian Interest Rate Market," Mathematics, MDPI, vol. 11(11), pages 1-28, June.
    3. Lucélia Vaz & Rodrigo Raad, 2021. "Functional data analysis for brazilian term structure of interest rate," Textos para Discussão Cedeplar-UFMG 638, Cedeplar, Universidade Federal de Minas Gerais.

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