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Assessing macro influence on Brazilian yield curve with affine models

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  • Marco Matsumura
  • Ajax Moreira

Abstract

Using affine term structure models with latent and observable factors, we study the interaction between macro variables and the Brazilian yield curve contained in a daily dataset. Two versions of the model are tested, one in continuous time and estimated using maximum likelihood with Chen-Scott inversion (1993), and the other in discrete time and estimated using Monte Carlo-Markov Chain (MCMC) with Kalman filter. The effect of the inclusion of macro factors and changes of specification on the goodness-of-fit and dynamics are analysed. We conclude that the interaction between the macro variables and the yield curve is an important element for understanding the dynamics. Also, the choice of specification alters the response of the identified shocks.

Suggested Citation

  • Marco Matsumura & Ajax Moreira, 2011. "Assessing macro influence on Brazilian yield curve with affine models," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1847-1863.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:15:p:1847-1863
    DOI: 10.1080/00036840902762746
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    References listed on IDEAS

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    1. Francis X. Diebold & Monika Piazzesi & Glenn D. Rudebusch, 2005. "Modeling Bond Yields in Finance and Macroeconomics," American Economic Review, American Economic Association, vol. 95(2), pages 415-420, May.
    2. Arminio Fraga & Ilan Goldfajn & André Minella, 2004. "Inflation Targeting in Emerging Market Economies," NBER Chapters, in: NBER Macroeconomics Annual 2003, Volume 18, pages 365-416, National Bureau of Economic Research, Inc.
    3. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    4. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    5. Glenn D. Rudebusch & Tao Wu, 2008. "A Macro‐Finance Model of the Term Structure, Monetary Policy and the Economy," Economic Journal, Royal Economic Society, vol. 118(530), pages 906-926, July.
    6. Walid Hejazi, 2000. "Yield spreads as predictors of industrial production: expectations on short rates or term premia?," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 945-951.
    7. Charles Lima De Almeida & Marco Aur�LIO Peres & Geraldo Da Silva E Souza & Benjamin Miranda Tabak, 2003. "Optimal monetary rules: the case of Brazil," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 299-302, April.
    8. Ilan Goldfajn & Sérgio Ribeiro da Costa Werlang, 2000. "The Pass-through from Depreciation to Inflation: A Panel Study," Working Papers Series 5, Central Bank of Brazil, Research Department.
    9. Marcelo Kfoury Muinhos & Sergio Afonso Lago Alves, 2003. "Medium-Size Macroeconomic Model for the Brazilian Economy," Working Papers Series 64, Central Bank of Brazil, Research Department.
    10. Tao Wu, 2003. "Stylized facts on nominal term structure and business cycles: an empirical VAR study," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 901-906.
    11. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    12. Andrew Ang & Sen Dong, 2005. "No-Arbitrage Taylor Rules," 2005 Meeting Papers 22, Society for Economic Dynamics.
    13. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    14. Pedro Fachada, 2001. "Inflation Targeting in Brazil: Reviewing Two Years of Monetary Policy 1999/00," Working Papers Series 25, Central Bank of Brazil, Research Department.
    15. Petko Kalev & Brett Inder, 2006. "The information content of the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 33-45.
    16. Andrew Ang & Sen Dong & Monika Piazzesi, 2005. "No-arbitrage Taylor rules," Proceedings, Federal Reserve Bank of San Francisco.
    17. Li-Hsueh Chen, 2001. "Inflation, real short-term interest rates, and the term structure of interest rates: a regime-switching approach," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 393-400.
    18. Paulo Springer de Freitas & Marcelo Kfoury Muinhos, 2001. "A Simple Model for Inflation Targeting in Brazil," Working Papers Series 18, Central Bank of Brazil, Research Department.
    19. Darrell Duffie & Rui Kan, 1996. "A Yield‐Factor Model Of Interest Rates," Mathematical Finance, Wiley Blackwell, vol. 6(4), pages 379-406, October.
    20. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
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    1. Sowmya, Subramaniam & Prasanna, Krishna, 2018. "Yield curve interactions with the macroeconomic factors during global financial crisis among Asian markets," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 178-192.
    2. Krishna Prasanna & Subramaniam Sowmya, 2017. "Yield curve in India and its interactions with the US bond market," International Economics and Economic Policy, Springer, vol. 14(2), pages 353-375, April.

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