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Spill-over effects of monetary policy: a progress report on interest rate convergence in Europe

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  • Fladung, Michael

Abstract

This study examines differences in the interest rate response to an ECB policy impulse in the euro area, the new EU-member states, and in the other non-eurozone EU countries in order to gauge the degree of interest rate alignment in Europe. To this end, PANIC, a Panel Analysis of Non-stationarity in I diosyncratic and Common components, is employed in a structural factor set-up. Under the assumption that the ECB sets the short end of the yield curve, the analysis shows that : (i) The response of Europe's money and government bond markets to new information can be summarized by two common stochastic trends and one stationary common factor, which together explain more than 68% of the overall variation of the two market segments; (ii) one of the factor innovations can be associated with the ECB's policy stance, which strongly affects the short end of the euro area's yield curve; (iii) compared to the euro area, the short-term market segments in the new EU-member states react, on average, 12% more weakly to the monetary policy signal, whereas these countries' long-term government bond yields respond up to 25% more strongly to such a common innovation.

Suggested Citation

  • Fladung, Michael, 2007. "Spill-over effects of monetary policy: a progress report on interest rate convergence in Europe," Discussion Paper Series 1: Economic Studies 2007,27, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdp1:6343
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    1. Domenico Giannone & Lucrezia Reichlin & Luca Sala, 2005. "Monetary Policy in Real Time," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 161-224, National Bureau of Economic Research, Inc.
    2. Kim, Suk-Joong & Lucey, Brian M. & Wu, Eliza, 2006. "Dynamics of bond market integration between established and accession European Union countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 41-56, February.
    3. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2004. "The generalized dynamic factor model consistency and rates," Journal of Econometrics, Elsevier, vol. 119(2), pages 231-255, April.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    6. James H. Stock & Mark W. Watson, 2005. "Implications of Dynamic Factor Models for VAR Analysis," NBER Working Papers 11467, National Bureau of Economic Research, Inc.
    7. Reichlin, Lucrezia & Sala, Luca & Giannone, Domenico, 2002. "Tracking Greenspan: Systematic and Unsystematic Monetary Policy Revisited," CEPR Discussion Papers 3550, C.E.P.R. Discussion Papers.
    8. Marco Lippi & Daniel L. Thornton, 2004. "A Dynamic Factor Analysis of the Response of U.S. Interest Rates to News," LEM Papers Series 2004/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    10. Carstensen, Kai, 2003. "Nonstationary term premia and cointegration of the term structure," Economics Letters, Elsevier, vol. 80(3), pages 409-413, September.
    11. Fendel, Ralf, 2004. "Towards a Joint Characterization of Monetary Policy and the Dynamics of the Term Structure of Interest Rates," Discussion Paper Series 1: Economic Studies 2004,24, Deutsche Bundesbank.
    12. Monika Piazzesi, 2005. "Bond Yields and the Federal Reserve," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 311-344, April.
    13. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    14. 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.
    15. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    16. Solnik, Bruno, 1983. "International Arbitrage Pricing Theory," Journal of Finance, American Finance Association, vol. 38(2), pages 449-457, May.
    17. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
    18. Angeloni, Ignazio & Flad, Michael & Mongelli, Francesco Paolo, 2005. "Economic and monetary integration of New Member States - helping to chart the route," Occasional Paper Series 36, European Central Bank.
    19. Ignazio Angeloni & Michael Flad & Francesco Paolo Mongelli, 2005. "Economic and monetary integration of the new Member States - helping to chart the route," Occasional Paper Series 36, European Central Bank.
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    More about this item

    Keywords

    Factor Models; Common Stochastic Trends; Interest Rate Channel; New Member States; Mixed Data Sampling;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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