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Canonical Term-Structure Models with Observable Factors and the Dynamics of Bond Risk Premia

Author

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  • MARCELLO PERICOLI
  • MARCO TABOGA

Abstract

We derive a canonical representation for the no-arbitrage discrete-time term structure models with both observable and unobservable state variables, popularized by Ang and Piazzesi (2003). We conduct a specification analysis based on this canonical representation and we analyze how alternative parameterizations affect estimated risk premia, impulse response functions, and variance decompositions. We find a trade-off between the need to obtain parsimonious parameterizations and the ability of the models to match observed patterns of variation in risk premia. We also find that more richly parameterized models uncover a greater influence of macroeconomic fundamentals on the long-end of the yield curve. Copyright (c) 2008 The Ohio State University.

Suggested Citation

  • Marcello Pericoli & Marco Taboga, 2008. "Canonical Term-Structure Models with Observable Factors and the Dynamics of Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1471-1488, October.
  • Handle: RePEc:mcb:jmoncb:v:40:y:2008:i:7:p:1471-1488
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    Cited by:

    1. Giuseppe Ferrero & Andrea Nobili, 2009. "Futures Contract Rates as Monetary Policy Forecasts," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 109-145, June.
    2. Taboga, Marco, 2007. "Structural change and the bond yield conundrum," MPRA Paper 4965, University Library of Munich, Germany.
    3. Paolo Angelini & Sergio Nicoletti-Altimari & Ignazio Visco, 2012. "Macroprudential, microprudential and monetary policies: conflicts, complementarities and trade-offs," Questioni di Economia e Finanza (Occasional Papers) 140, Bank of Italy, Economic Research and International Relations Area.
    4. Pericoli, Marcello & Taboga, Marco, 2012. "Bond risk premia, macroeconomic fundamentals and the exchange rate," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 42-65.
    5. Felix Geiger, 2009. "International Interest-Rate Risk Premia in Affine Term Structure Models," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 316/2009, Department of Economics, University of Hohenheim, Germany.
    6. Marco S. Matsumura, 2015. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 0173, Instituto de Pesquisa Econômica Aplicada - IPEA.
    7. Joslin, Scott & Le, Anh & Singleton, Kenneth J., 2013. "Why Gaussian macro-finance term structure models are (nearly) unconstrained factor-VARs," Journal of Financial Economics, Elsevier, vol. 109(3), pages 604-622.
    8. Marcello Pericoli, 2012. "Expected inflation and inflation risk premium in the euro area and in the United States," Temi di discussione (Economic working papers) 842, Bank of Italy, Economic Research and International Relations Area.
    9. Giuseppe Ferrero & Andrea Nobili, 2008. "Short-term interest rate futures as monetary policy forecasts," Temi di discussione (Economic working papers) 681, Bank of Italy, Economic Research and International Relations Area.
    10. Taboga, Marco, 2009. "Macro-finance VARs and bond risk premia: A caveat," Review of Financial Economics, Elsevier, vol. 18(4), pages 163-171, October.
    11. Carlo A. Favero & Linlin Niu & Luca Sala, 2012. "Term Structure Forecasting: No‐Arbitrage Restrictions versus Large Information Set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(2), pages 124-156, March.
    12. Ireland, Peter N., 2015. "Monetary policy, bond risk premia, and the economy," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 124-140.
    13. Hamilton, James D. & Wu, Jing Cynthia, 2014. "Testable implications of affine term structure models," Journal of Econometrics, Elsevier, vol. 178(P2), pages 231-242.
    14. Hong, Zhiwu & Niu, Linlin & Zhang, Chen, 2022. "Affine arbitrage-free yield net models with application to the euro debt crisis," Journal of Econometrics, Elsevier, vol. 230(1), pages 201-220.
    15. repec:wyi:journl:002125 is not listed on IDEAS
    16. Marco S. Matsumura, 2006. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 1241, Instituto de Pesquisa Econômica Aplicada - IPEA.
    17. Hamilton, James D. & Wu, Jing Cynthia, 2012. "Identification and estimation of Gaussian affine term structure models," Journal of Econometrics, Elsevier, vol. 168(2), pages 315-331.
    18. Carlo A. Favero & Arie E. Gozluklu & Haoxi Yang, 2016. "Demographics and the Behavior of Interest Rates," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(4), pages 732-776, November.
    19. Marcello Pericoli, 2013. "Macroeconomic and monetary policy surprises and the term structure of interest rates," Temi di discussione (Economic working papers) 927, Bank of Italy, Economic Research and International Relations Area.
    20. Zbynek Stork, 2016. "Term Structure of Interest Rates: Macro-Finance Approach," EcoMod2016 9566, EcoMod.
    21. Konstantinos Bisiotis & Stelios Psarakis & Athanasios N. Yannacopoulos, 2022. "Affine Term Structure Models: Applications in Portfolio Optimization and Change Point Detection," Mathematics, MDPI, vol. 10(21), pages 1-33, November.
    22. Paolo Angelini & Sergio Nicoletti-Altimari & Ignazio Visco, 2013. "Macroprudential, Microprudential and Monetary Policies: Policies, Complementarities and Trade-Offs," Chapters, in: Andreas Dombret & Otto Lucius (ed.), Stability of the Financial System, chapter 22, Edward Elgar Publishing.
    23. Matsumura, Marco & Moreira, Ajax & Vicente, Jose Valentim Machado, 2011. "Identification of Gaussian Term Structure Models with Observable Factors," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    24. Argyropoulos, Efthymios & Tzavalis, Elias, 2021. "The influence of real interest rates and risk premium effects on the ability of the nominal term structure to forecast inflation," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 785-796.

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets

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