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TIIE-28 Swaps as Risk-Adjusted Forecasts of Monetary Policy in Mexico

Author

Listed:
  • Santiago García-Verdú

    (Banco de México, 5 de Mayo Ave. 2, Cuauhtemoc, Mexico City 06000, Mexico)

  • Manuel Ramos-Francia

    (Banco de México, 5 de Mayo Ave. 2, Cuauhtemoc, Mexico City 06000, Mexico)

  • Manuel Sánchez-Martínez

    (Banco de México, 5 de Mayo Ave. 2, Cuauhtemoc, Mexico City 06000, Mexico)

Abstract

Information extracted from financial derivatives on interest rates is commonly used to forecast movements in interest rates. However, such an extraction generally assumes that agents are risk-neutral, which is not necessarily the case. Accordingly, it might be useful to account for the agents’ risk-aversion when doing these forecasts, which one can implement by adding a risk-correction. In this context, we use TIIE-28 swaps to forecast changes in monetary policy in Mexico, using a set of financial variables to account for the risk-correction. We assess whether models with a risk-correction outperform the TIIE-28 swaps rates, and find that the in-sample explained variability improves when using a risk-correction. Centrally, we document that our main model’s out-of-sample forecasts are similar for short horizons (3-month), and statistically significantly better for longer horizons (9 to 24-month), compared to the direct use of TIIE-28 swaps interest rates.

Suggested Citation

  • Santiago García-Verdú & Manuel Ramos-Francia & Manuel Sánchez-Martínez, 2019. "TIIE-28 Swaps as Risk-Adjusted Forecasts of Monetary Policy in Mexico," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-23, June.
    • Handle: RePEc:wsi:qjfxxx:v:09:y:2019:i:02:n:s2010139219500046
    DOI: 10.1142/S2010139219500046
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    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. Meredith Beechey & P�r Österholm, 2014. "Policy interest-rate expectations in Sweden: a forecast evaluation," Applied Economics Letters, Taylor & Francis Journals, vol. 21(14), pages 984-991, September.
    3. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    4. Piazzesi, Monika & Swanson, Eric T., 2008. "Futures prices as risk-adjusted forecasts of monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 677-691, May.
    5. John Y. Campbell & Robert J. Shiller, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 495-514.
    6. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    7. Castellanos, Sara Gabriela & Camero, Eduardo, 2003. "¿Qué información acerca de las tasas de interés spot futuras contiene la estructura temporal de tasas de interés en México?," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(278), pages 343-369, abril-jun.
    8. Hamilton, James D. & Wu, Jing Cynthia, 2014. "Risk premia in crude oil futures prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 9-37.
    9. Raffaella Giacomini & Halbert White, 2006. "Tests of Conditional Predictive Ability," Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
    10. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    11. Cortés Espada Josué Fernando & Ramos Francia Manuel & Torres García Alberto, 2008. "An Empirical Analysis of the Mexican Term Structure of Interest Rates," Working Papers 2008-07, Banco de México.
    12. Dubravko Mihaljek & Frank Packer, 2010. "Derivatives in emerging markets," BIS Quarterly Review, Bank for International Settlements, December.
    13. Sergey V. Chernenko, 2004. "The information content of forward and futures prices: market expectations and the price of risk," International Finance Discussion Papers 808, Board of Governors of the Federal Reserve System (U.S.).
    14. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-692, September.
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    More about this item

    Keywords

    TIIE-28; swaps; interest rates; monetary policy; expected monetary policy; risk-adjustment;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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