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La pente des taux contient-elle de l’information sur l’activité économique future ?

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  • Franck Sédillot

Abstract

[eng] Term Structure : A Source of Information on Future Economic Activity ? . by Franck Sédillot . In this paper we investigate the link between term structure and growth in France, Germany and the United States by means of two approaches. The first, widely used, consists in regressing the growth rate ofGDPfor yield spread in various ranges. Through the second, less frequently employed for European data, we examine the usefulness of the yield spread for predicting a recession, in this case using a probit model. For both approaches we analyse the in-sample forecasting ability and the out-of-sample accuracy of the outcomes. The stability of the various relations, based on time-varying root mean square errors, is also considered. [fre] Nous étudions dans ce papier le lien entre pente des taux et croissance en Allemagne, aux États-Unis et en France. Cette relation est analysée selon deux approches. La première, communément mise en oeuvre, consiste à régresser le taux de croissance du PIB pour différents horizons sur le spread de taux. Dans la seconde, plus rarement appliquée sur données européennes, c’est l’occurrence d’une récession que l’on cherche à prévoir. Dans ce cas, il faut recourir à l’estimation d’un modèle probit. Pour chacun des termes de cette alternative, une analyse des propriétés prédictives en échantillon et hors échantillon est menée. La stabilité des différentes relations, appréhendée au travers des erreurs de prévision récursives et glissantes, est aussi abordée.

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  • Franck Sédillot, 2001. "La pente des taux contient-elle de l’information sur l’activité économique future ?," Économie et Prévision, Programme National Persée, vol. 147(1), pages 141-157.
    • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2001_num_147_1_6218
    DOI: 10.3406/ecop.2001.6218
    Note: DOI:10.3406/ecop.2001.6218
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    1. Bernard, Henri & Gerlach, Stefan, 1998. "Does the Term Structure Predict Recessions? The International Evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(3), pages 195-215, July.
    2. Jeff Fuhrer & George Moore, 1995. "Inflation Persistence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 127-159.
    3. Arturo Estrella & Frederic S. Mishkin, 1998. "Predicting U.S. Recessions: Financial Variables As Leading Indicators," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 45-61, February.
    4. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    5. 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.
    6. Fuhrer, Jeffrey C., 2010. "Inflation Persistence," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 9, pages 423-486, Elsevier.
    7. 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.
    8. Michael Dotsey, 1998. "The predictive content of the interest rate term spread for future economic growth," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 31-51.
    9. Zuliu Hu, 1993. "The Yield Curve and Real Activity," IMF Working Papers 1993/019, International Monetary Fund.
    10. Artis, Michael J & Kontolemis, Zenon G & Osborn, Denise, 1995. "Classical Business Cycles for G7 and European Countries," CEPR Discussion Papers 1137, C.E.P.R. Discussion Papers.
    11. Catherine Bonser-Neal & Timothy R. Morley, 1997. "Does the yield spread predict real economic activity? : a multicountry analysis," Economic Review, Federal Reserve Bank of Kansas City, vol. 82(Q III), pages 37-53.
    12. Arturo Estrella & Anthony P. Rodrigues, 1998. "Consistent covariance matrix estimation in probit models with autocorrelated errors," Staff Reports 39, Federal Reserve Bank of New York.
    13. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    14. McCallum, Bennett T & Nelson, Edward, 1999. "An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(3), pages 296-316, August.
    15. Francisco Alonso & Juan Ayuso & Jorge Martínez Pagés, 1997. "How Informative are Financial Asset Prices in Spain?," Working Papers 9726, Banco de España.
    16. Benjamin M. Friedman & Kenneth Kuttner, 1993. "Why Does the Paper-Bill Spread Predict Real Economic Activity?," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 213-254, National Bureau of Economic Research, Inc.
    17. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    18. Smets, Frank & Tsatsaronis, Kostas, 1997. "Why Does the Yield Curve Predict Economic Activity? Dissecting the Evidence for Germany and the United States," CEPR Discussion Papers 1758, C.E.P.R. Discussion Papers.
    19. William Kerr & Robert G. King, 1996. "Limits on interest rate rules in the IS model," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 47-75.
    20. Estrella, Arturo, 1998. "A New Measure of Fit for Equations with Dichotomous Dependent Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 198-205, April.
    21. Davis, E Philip & Fagan, Gabriel, 1997. "Are Financial Spreads Useful Indicators of Future Inflation and Output Growth in EU Countries?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(6), pages 701-714, Nov.-Dec..
    22. Michael J. Dueker, 1997. "Strengthening the case for the yield curve as a predictor of U.S. recessions," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 41-51.
    23. Roberts, John M, 1995. "New Keynesian Economics and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 975-984, November.
    24. 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 555-576, June.
    25. Harvey, Campbell R., 1988. "The real term structure and consumption growth," Journal of Financial Economics, Elsevier, vol. 22(2), pages 305-333, December.
    26. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    27. Plosser, Charles I. & Geert Rouwenhorst, K., 1994. "International term structures and real economic growth," Journal of Monetary Economics, Elsevier, vol. 33(1), pages 133-155, February.
    28. James H. Stock & Mark W. Watson, 1992. "A procedure for predicting recessions with leading indicators: econometric issues and recent performance," Working Paper Series, Macroeconomic Issues 92-7, Federal Reserve Bank of Chicago.
    29. Peel, David A. & Taylor, Mark P., 1998. "The slope of the yield curve and real economic activity: tracing the transmission mechanism," Economics Letters, Elsevier, vol. 59(3), pages 353-360, June.
    30. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    31. Zuliu Hu, 1993. "The Yield Curve and Real Activity," IMF Staff Papers, Palgrave Macmillan, vol. 40(4), pages 781-806, December.
    32. Friedman, Benjamin M & Kuttner, Kenneth N, 1992. "Money, Income, Prices, and Interest Rates," American Economic Review, American Economic Association, vol. 82(3), pages 472-492, June.
    33. James H. Stock & Mark W. Watson, 1993. "A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 95-156, National Bureau of Economic Research, Inc.
    34. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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    3. Arturo Estrella & Anthony P. Rodrigues & Sebastian Schich, 2003. "How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 629-644, August.
    4. repec:spo:wpmain:info:hdl:2441/2942 is not listed on IDEAS

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    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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