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International Macroeconomic Dynamics: A Factor Vector Autoregressive Approach

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  • Fabio C. Bagliano
  • Claudio Morana

Abstract

In this paper international comovements among a set of key real and nominal macroeconomic variables for the G-7 countries have been investigated for the 1980- 2005 period, using a Factor Vector Autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern only real activity, but are an important feature also of stock market returns, in‡ation rates, interest rates and, to a smaller extent, monetary aggregates. Both common sources of shocks and similar transmission mechanisms explain international comovements, with the only exception of Japan, where the idiosyncratic features seem to dominate. Finally, concerning the origin of global shocks, evidence of both global supply-side and demand-side disturbances is found.

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Paper provided by Collegio Carlo Alberto in its series Carlo Alberto Notebooks with number 32.

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Length: 41 pages
Date of creation: 2006
Date of revision:
Handle: RePEc:cca:wpaper:32

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Keywords: G7; international business cycle; factor vector autoregressive models; common factors.;

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Citations

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Cited by:
  1. Fabio C. Bagliano & Claudio Morana, 2010. "The Great Recession: US dynamics and spillovers to the world economy," Working papers 17, Former Department of Economics and Public Finance "G. Prato", University of Torino.
  2. Carlos Medel & Michael Pedersen & Pablo Pincheira, 2014. "The Elusive Predictive Ability of Global Inflation," Working Papers Central Bank of Chile 725, Central Bank of Chile.
  3. Fabio C. Bagliano & Claudio Morana, 2008. "Permanent and Transitory Dynamics in House Prices and Consumption: Cross-Country Evidence," Working papers 2, Former Department of Economics and Public Finance "G. Prato", University of Torino.
  4. Fabio Bagliano & Claudio Morana, 2010. "Business cycle comovement in the G-7: common shocks or common transmission mechanisms?," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2327-2345.
  5. Fabio C. Bagliano & Claudio Morana, 2012. "Macro-Finance Interactions in the US: A Global Perspective," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
  6. Ansgar Belke & Andreas Rees, 2009. "The Importance of Global Shocks for National Policymakers: Rising Challenges for Central Banks," Discussion Papers of DIW Berlin 922, DIW Berlin, German Institute for Economic Research.
  7. Michaelides, Panayotis G. & Papageorgiou, Theofanis & Vouldis, Angelos T., 2013. "Business cycles and economic crisis in Greece (1960–2011): A long run equilibrium analysis in the Eurozone," Economic Modelling, Elsevier, vol. 31(C), pages 804-816.
  8. Claudio Morana, 2006. "International Stock Markets Comovements: the Role of Economic and Financial Integration," ICER Working Papers 25-2006, ICER - International Centre for Economic Research.
  9. Fabio C. Bagliano & Claudio Morana, 2006. "A New Approach to Factor Vector Autoregressive Estimation with an Application to Large-Scale Macroeconometric Modelling," Carlo Alberto Notebooks 28, Collegio Carlo Alberto.
  10. Fabio Bagliano & Claudio Morana, 2008. "Factor vector autoregressive estimation: a new approach," Journal of Economic Interaction and Coordination, Springer, vol. 3(1), pages 15-23, June.
  11. Huh, Hyeon-seung & Kim, David & Kim, Won Joong & Park, Cyn-Young, 2013. "A Factor-Augmented Vector Autoregression Analysis of Business Cycle Synchronization in East Asia and Implications for a Regional Currency Union," ADB Economics Working Paper Series 385, Asian Development Bank.
  12. Hyeon-seung Huh & David Kim & Won Joong Kim & Cyn-Young Park, 2013. "A Factor-augmented VAR Analysis of Business Cycle Synchronization in East Asia and Implications for a Regional Currency Union," Working papers 2013rwp-58, Yonsei University, Yonsei Economics Research Institute.
  13. Andrea Beltratti & Claudio Morana, 2008. "International shocks and national house prices," ICER Working Papers - Applied Mathematics Series 14-2008, ICER - International Centre for Economic Research.

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