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Forecasting Canadian Short-Term Interest Rates

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  • Richard Deaves

Abstract

The author investigates the forecasting performance of a number of simple prediction techniques for short-term interest rates. In particular, quarterly forecasts of Canadian three-month T-bill rates, from one to forty quarters in the future, are generated during 1963-92 using several time-series methods and market-based yield curve strategies. Comparison is made with the martingale and, for a shorter recent sample, with the predictions made by several economic forecasters. For the most part, utilization of the yield curve proved best, though it must be granted that no methodology was able to outperform the martingale for horizons up to a year.

Suggested Citation

  • Richard Deaves, 1996. "Forecasting Canadian Short-Term Interest Rates," Canadian Journal of Economics, Canadian Economics Association, vol. 29(3), pages 615-634, August.
  • Handle: RePEc:cje:issued:v:29:y:1996:i:3:p:615-34
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    References listed on IDEAS

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    1. R. W. Hafer & Scott E. Hein, 1989. "Comparing futures and survey forecasts of near-term Treasury bill rates," Review, Federal Reserve Bank of St. Louis, issue May, pages 33-42.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    3. Bradley, Michael G. & Lumpkin, Stephen A., 1992. "The Treasury Yield Curve as a Cointegrated System," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 449-463, September.
    4. Fama, Eugene F., 1990. "Term-structure forecasts of interest rates, inflation and real returns," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 59-76, January.
    5. Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-1167, July.
    6. Michael T. Belongia, 1987. "Predicting interest rates: a comparison of professional and market- based forecasts," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 9-15.
    7. Hardouvelis, Gikas A, 1988. " The Predictive Power of the Term Structure during Recent Monetary Regimes," Journal of Finance, American Finance Association, vol. 43(2), pages 339-356, June.
    8. Friedman, Benjamin M, 1979. "Interest Rate Expectations versus Forward Rates: Evidence from an Expectations Survey," Journal of Finance, American Finance Association, vol. 34(4), pages 965-973, September.
    9. S. Scott MacDonald & Scott E. Hein, 1989. "Futures rates and forward rates as predictors of near‐term treasury bill rates," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(3), pages 249-262, June.
    10. Hafer, R W & Hein, Scott E & MacDonald, S Scott, 1992. "Market and Survey Forecasts of the Three-Month Treasury-Bill Rate," The Journal of Business, University of Chicago Press, vol. 65(1), pages 123-138, January.
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    12. Fama, Eugene F., 1984. "The information in the term structure," Journal of Financial Economics, Elsevier, vol. 13(4), pages 509-528, December.
    13. Hall, Anthony D & Anderson, Heather M & Granger, Clive W J, 1992. "A Cointegration Analysis of Treasury Bill Yields," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 116-126, February.
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Ahrens, Ralf, 1999. "Improving market-based forecasts of short-term interest rates: Time-varying stationarity and the predictive content of switching regime-expectations," CFS Working Paper Series 1999/14, Center for Financial Studies (CFS).
    2. Ramos-Tallada, Julio, 2015. "Bank risks, monetary shocks and the credit channel in Brazil: Identification and evidence from panel data," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 135-161.
    3. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    4. Emilio Dominguez & Alfonso Novales, 2002. "Can forward rates be used to improve interest rate forecasts?," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 493-504.
    5. John W. Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Staff Working Papers 07-1, Bank of Canada.
    6. Massimo Guidolin & Daniel L. Thornton, 2010. "Predictions of short-term rates and the expectations hypothesis," Working Papers 2010-013, Federal Reserve Bank of St. Louis.
    7. Yvon Fauvel & Alain Paquet & Christian Zimmermann, 1999. "A Survey on Interest Rate Forecasting," Cahiers de recherche CREFE / CREFE Working Papers 87, CREFE, Université du Québec à Montréal.
    8. Leo Krippner, 1998. "Testing the predictive power of New Zealand bank bill futures rates," Reserve Bank of New Zealand Discussion Paper Series G98/8, Reserve Bank of New Zealand.
    9. Jose Luis Fernandez-Serrano & M. Dolores Robles-Fernandez, 2008. "Time-series model forecasts and structural breaks: evidence from Spanish pre-EMU interest rates," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1707-1721.

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