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Linear and Threshold Forecasts of Output and Inflation with Stock and Housing Prices

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  • Greg Tkacz
  • Carolyn A. Wilkins

Abstract

The authors examine whether simple measures of Canadian equity and housing price misalignments contain leading information about output growth and inflation. Previous authors have found that the information content of asset prices in general, and equity and housing prices in particular, are unreliable in that they do not systematically predict future economic activity or inflation. However, earlier studies relied on simple linear relationships that would fail to pick up the potential non-linear effects of asset-price misalignments. The authors' results suggest that housing prices are useful for predicting GDP growth, even within a linear context. Moreover, both stock and housing prices can improve inflation forecasts, especially when using a threshold specification. These improvements in forecast performance are relative to the information contained in Phillips-curve type indicators for inflation and IS-curve type indicators for GDP growth.

Suggested Citation

  • Greg Tkacz & Carolyn A. Wilkins, 2006. "Linear and Threshold Forecasts of Output and Inflation with Stock and Housing Prices," Staff Working Papers 06-25, Bank of Canada.
  • Handle: RePEc:bca:bocawp:06-25
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    References listed on IDEAS

    as
    1. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    2. Celine Gauthier & Fu Chun Li, 2004. "Linking Real Activity and Financial Markets: BEAM model 1," Money Macro and Finance (MMF) Research Group Conference 2004 52, Money Macro and Finance Research Group.
    3. Donald Coletti & Benjamin Hunt & David Rose & Robert Tetlow, 1996. "The Bank of Canada's New Quarterly Projection Model. Part 3 , the Dynamic Model : QPM," Technical Reports 75, Bank of Canada.
    4. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    5. Galbraith, John W. & Tkacz, Greg, 2000. "Testing for asymmetry in the link between the yield spread and output in the G-7 countries," Journal of International Money and Finance, Elsevier, vol. 19(5), pages 657-672, October.
    6. Charles Goodhart & Boris Hofmann, 2000. "Do Asset Prices Help to Predict Consumer Price Inflation?," Manchester School, University of Manchester, vol. 68(s1), pages 122-140.
    7. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    8. West, Kenneth D., 2001. "Encompassing tests when no model is encompassing," Journal of Econometrics, Elsevier, vol. 105(1), pages 287-308, November.
    9. Jack Selody & Carolyn A. Wilkins, 2004. "Asset Prices and Monetary Policy: A Canadian Perspective on the Issues," Bank of Canada Review, Bank of Canada, vol. 2004(Autumn), pages 3-14.
    10. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    11. Charles Bean, 2003. "Asset Prices, Financial Imbalances and Monetary Policy: Are Inflation Targets Enough?," RBA Annual Conference Volume (Discontinued), in: Anthony Richards & Tim Robinson (ed.),Asset Prices and Monetary Policy, Reserve Bank of Australia.
    12. repec:bla:intfin:v:5:y:2002:i:2:p:139-64 is not listed on IDEAS
    13. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    14. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    15. Mr. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets: A Review," IMF Working Papers 2000/048, International Monetary Fund.
    16. Bradley, Michael D. & Jansen, Dennis W., 2004. "Forecasting with a nonlinear dynamic model of stock returns and industrial production," International Journal of Forecasting, Elsevier, vol. 20(2), pages 321-342.
    17. Tkacz, Greg, 2001. "Neural network forecasting of Canadian GDP growth," International Journal of Forecasting, Elsevier, vol. 17(1), pages 57-69.
    18. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    19. Michael D. Bordo & Olivier Jeanne, 2002. "Monetary Policy and Asset Prices: Does ‘Benign Neglect’ Make Sense?," International Finance, Wiley Blackwell, vol. 5(2), pages 139-164.
    20. Gilchrist, Simon & Leahy, John V., 2002. "Monetary policy and asset prices," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 75-97, January.
    21. Karl E Case & John M Quigley & Robert J Shiller, 2003. "Home-buyers, Housing and the Macroeconomy," RBA Annual Conference Volume (Discontinued), in: Anthony Richards & Tim Robinson (ed.),Asset Prices and Monetary Policy, Reserve Bank of Australia.
    22. 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.
    23. Detken, Carsten & Smets, Frank, 2004. "Asset price booms and monetary policy," Working Paper Series 364, European Central Bank.
    24. Hamilton, James D. & Whiteman, Charles H., 1985. "The observable implications of self-fulfilling expectations," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 353-373, November.
    25. Céline Gauthier & Christopher Graham & Ying Liu, 2004. "Financial Conditions Indexes for Canada," Staff Working Papers 04-22, Bank of Canada.
    26. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    27. Andrew J. Filardo, 2001. "Should monetary policy respond to asset price bubbles? : some experimental results," Research Working Paper RWP 01-04, Federal Reserve Bank of Kansas City.
    28. Michael Woodford, 1994. "Nonstandard Indicators for Monetary Policy: Can Their Usefulness Be Judged from Forecasting Regressions?," NBER Chapters, in: Monetary Policy, pages 95-115, National Bureau of Economic Research, Inc.
    29. Stephen D. Smith, 1999. "What do asset prices tell us about the future?," Economic Review, Federal Reserve Bank of Atlanta, vol. 84(Q3), pages 4-13.
    30. repec:bla:manchs:v:68:y:2000:i:0:p:122-40 is not listed on IDEAS
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    Cited by:

    1. Jason Allen & Robert Amano & David P. Byrne & Allan W. Gregory, 2009. "Canadian city housing prices and urban market segmentation," Canadian Journal of Economics, Canadian Economics Association, vol. 42(3), pages 1132-1149, August.
    2. Weida Kuang & Peng Liu, 2015. "Inflation and House Prices: Theory and Evidence from 35 Major Cities in China," International Real Estate Review, Global Social Science Institute, vol. 18(2), pages 217-240.

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    More about this item

    Keywords

    Inflation and prices; Business fluctuations and cycles;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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