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Deriving Longer-Term Inflation Expectations and Inflation Risk Premium Measures for Canada

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  • Bruno Feunou
  • Zabi Tarshi

Abstract

We present two models for long-term inflation expectations and inflation risk premiums for Canada. First, we estimate inflation expectations using a vector autoregressive model based on the relationship of inflation with both the unemployment gap and the term structure of the Government of Canada nominal bond yields. Then we estimate the inflation risk premium by regressing the nominal term premium on a set of inflation risk factors. We find that our model-implied measure of inflation expectations generally follows a trend similar to that of break-even inflation rates. We also find that the estimated inflation risk premium is negative or near zero through most of the sample period because most of this period was dominated by low inflation and low growth, with investors concerned about deflation. However, the model-implied inflation risk premium becomes positive in 2021. Because real return bonds will eventually disappear in Canada, a market-derived indicator for long-term inflation expectations is particularly relevant for central bankers. Similarly, capturing the individual components of the nominal term premium can be highly useful from a policy perspective.

Suggested Citation

  • Bruno Feunou & Zabi Tarshi, 2024. "Deriving Longer-Term Inflation Expectations and Inflation Risk Premium Measures for Canada," Discussion Papers 2024-09, Bank of Canada.
  • Handle: RePEc:bca:bocadp:24-09
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    References listed on IDEAS

    as
    1. Dewachter, Hans & Lyrio, Marco, 2006. "Macro Factors and the Term Structure of Interest Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 119-140, February.
    2. Cao, Jin & Dinger, Valeriya & Gómez, Tomás & Gric, Zuzana & Hodula, Martin & Jara, Alejandro & Juelsrud, Ragnar & Liaudinskas, Karolis & Malovaná, Simona & Terajima, Yaz, 2023. "Monetary policy spillover to small open economies: Is the transmission different under low interest rates?," Journal of Financial Stability, Elsevier, vol. 65(C).
    3. Buraschi, Andrea & Jiltsov, Alexei, 2005. "Inflation risk premia and the expectations hypothesis," Journal of Financial Economics, Elsevier, vol. 75(2), pages 429-490, February.
    4. Sydney C. Ludvigson & Serena Ng, 2009. "Macro Factors in Bond Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5027-5067, December.
    5. Adrian, Tobias & Crump, Richard K. & Moench, Emanuel, 2013. "Pricing the term structure with linear regressions," Journal of Financial Economics, Elsevier, vol. 110(1), pages 110-138.
    6. Campbell, John Y. & Sunderam, Adi & Viceira, Luis M., 2017. "Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds," Critical Finance Review, now publishers, vol. 6(2), pages 263-301, September.
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    More about this item

    Keywords

    Econometric and statistical methods;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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