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Forecasting Australian GDP Growth Using Coefficients Constrained by A Term Structure Model

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Author Info
Farshid Vahid
Lin Luo

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Abstract

Yield spread between long and short bonds has been used to forecast economic activity for a long time and has yielded some positive results, particularly for the U.S. data. Recently it has been shown that the forecast can be improved by incorporating the economic activity variable into a term structure model with observable factors. The idea is to constrain the parameters of the system by the term structure model and see whether the constrained model produces better forecasts for the economic activity. This has been done for the U.S. We test this model on Australian GDP growth. We find the forecast results using constrained parameters are quite poor compared to those for the unconstrained model. The reason is that in the traditional affine yield model, researchers normally assume a mean reverting process for factors such as short rate. When this is not supported by the data, the forecast results could be quite poor. To overcome this problem, one might want to twist the affine factor model so that it can accommodate non-mean reverting processes for factors such as the s

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Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 232.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:232

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Related research
Keywords: Term Structure; VAR and GDP Growth;

Find related papers by JEL classification:
E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates

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References listed on IDEAS
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  2. Estrella, Arturo & Hardouvelis, Gikas A, 1991. " The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-76, June. [Downloadable!] (restricted)
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  3. Cox, John C & Ingersoll, Jonathan E, Jr & Ross, Stephen A, 1985. "A Theory of the Term Structure of Interest Rates," Econometrica, Econometric Society, vol. 53(2), pages 385-407, March. [Downloadable!] (restricted)
  4. Andrew Ang & Monika Piazzesi & Min Wei, 2003. "What does the yield curve tell us about GDP growth?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar. [Downloadable!]
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  5. Don Harding & Adrian Pagan, 1999. "Dissecting the Cycle," Melbourne Institute Working Paper Series wp1999n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
  6. Campbell, John Y & Shiller, Robert J, 1991. "Yield Spreads and Interest Rate Movements: A Bird's Eye View," Review of Economic Studies, Blackwell Publishing, vol. 58(3), pages 495-514, May. [Downloadable!] (restricted)
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  7. 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 116-26, February. [Downloadable!] (restricted)
  8. Estrella, Arturo & Mishkin, Frederic S., 1997. "The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank," European Economic Review, Elsevier, vol. 41(7), pages 1375-1401, July. [Downloadable!] (restricted)
  9. Andrew Ang & Monika Piazzesi, 2001. "A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables," NBER Working Papers 8363, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  10. Fama, Eugene F & Bliss, Robert R, 1987. "The Information in Long-Maturity Forward Rates," American Economic Review, American Economic Association, vol. 77(4), pages 680-92, September. [Downloadable!] (restricted)
  11. Pagan, A.R. & Hall, A.D. & Martin, V., 1995. "Modelling the Term Structure," Papers 284, Australian National University - Department of Economics.
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