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Linking Real Activity and Financial Markets: The Bonds, Equity, and Money (BEAM) Model

  • Céline Gauthier
  • Fu Chun Li
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    The authors estimate a small monthly macroeconometric model (BEAM, for bonds, equity, and money) of the Canadian economy built around three cointegrating relationships linking financial and real variables over the 1975–2002 period. One of the cointegrating relationships allows the identification of a supply shock as the only shock that permanently affects the stock market, and a demand shock that leads to important transitory stock market overvaluation. The authors propose a monetary policy reaction function in which the impact of a permanent inflation shock on the overnight rate is simulated and the future path of the overnight rate adjusted accordingly, to prevent any forecast persistent deviation from the inflation target. They introduce a technical innovation by showing under which conditions permanent shocks can be identified in a vector error-correction model with exogenous variables.

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    Paper provided by Bank of Canada in its series Working Papers with number 06-42.

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    Length: 43 pages
    Date of creation: 2006
    Date of revision:
    Handle: RePEc:bca:bocawp:06-42
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    1. Lutkepohl, Helmut & Reimers, Hans-Eggert, 1992. "Impulse response analysis of cointegrated systems," Journal of Economic Dynamics and Control, Elsevier, vol. 16(1), pages 53-78, January.
    2. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
    3. Blanchard, Olivier J, 1981. "Output, the Stock Market, and Interest Rates," American Economic Review, American Economic Association, vol. 71(1), pages 132-43, March.
    4. Halbert White, 2000. "A Reality Check for Data Snooping," Econometrica, Econometric Society, vol. 68(5), pages 1097-1126, September.
    5. Yang, Minxian, 1998. "On identifying permanent and transitory shocks in VAR models," Economics Letters, Elsevier, vol. 58(2), pages 171-175, February.
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    7. Ploberger, Werner & Kramer, Walter & Kontrus, Karl, 1989. "A new test for structural stability in the linear regression model," Journal of Econometrics, Elsevier, vol. 40(2), pages 307-318, February.
    8. Frank Smets & Ignazio Angeloni & Gunter Coenen, 2003. "Persistence, the Transmission Mechanism and Robust Monetary Policy," Computing in Economics and Finance 2003 137, Society for Computational Economics.
    9. William J. Crowder & Dennis L. Hoffman & Robert H. Rasche, 1999. "Identification, Long-Run Relations, and Fundamental Innovations in a Simple Cointegrated System," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 109-121, February.
    10. Lutz Kilian & Mark P. Taylor, 2001. "Why Is It So Difficult to Beat the Random Walk Forecast of Exchange Rates?," Working Papers 464, Research Seminar in International Economics, University of Michigan.
    11. Coenen, Gunter, 2007. "Inflation persistence and robust monetary policy design," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 111-140, January.
    12. Michael R. Wickens & Roberto Motto, 2001. "Estimating shocks and impulse response functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 371-387.
    13. Céline Gauthier & Christopher Graham & Ying Liu, 2004. "Financial Conditions Indexes for Canada," Working Papers 04-22, Bank of Canada.
    14. Timothy Cogley & Thomas J. Sargent, 2002. "Evolving Post-World War II U.S. Inflation Dynamics," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 331-388 National Bureau of Economic Research, Inc.
    15. Cassola, Nuno & Morana, Claudio, 2004. "Monetary policy and the stock market in the euro area," Journal of Policy Modeling, Elsevier, vol. 26(3), pages 387-399, April.
    16. David Longworth, 2003. "Money in the Bank (of Canada)," Technical Reports 93, Bank of Canada.
    17. Wickens, Michael R., 1996. "Interpreting cointegrating vectors and common stochastic trends," Journal of Econometrics, Elsevier, vol. 74(2), pages 255-271, October.
    18. Rapach, David E, 2003. " International Evidence on the Long-Run Impact of Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(1), pages 23-48, February.
    19. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
    20. Katharine S. Neiss and Edward Nelson, 2001. "The Real Interest Rate Gap as an Inflation Indicator," Computing in Economics and Finance 2001 145, Society for Computational Economics.
    21. Andrew Atkeson & Lee E. Ohanian., 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-11.
    22. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1997. "Structural Analysis of Vector Error Correction Models with Exogenous I(1) Variables," Cambridge Working Papers in Economics 9706, Faculty of Economics, University of Cambridge.
    23. Katarina Juselius & David F. Hendry, 2000. "Explaining Cointegration Analysis: Part II," Discussion Papers 00-20, University of Copenhagen. Department of Economics.
    24. Tor Jacobson & Per Jansson & Anders Vredin & Anders Warne, 2001. "Monetary policy analysis and inflation targeting in a small open economy: a VAR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 487-520.
    25. Shamik Dhar & Darren Pain & Ryland Thomas, 2000. "A small structural empirical model of the UK monetary transmission mechanism," Bank of England working papers 113, Bank of England.
    26. Celine Gauthier & David Tessier, 2002. "Supply Shocks and Real Exchange Rate Dynamics: Canadian Evidence," Working Papers 02-31, Bank of Canada.
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