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Extremal Dependence in International Output Growth: Tales from the Tails

  • Miguel de Carvalho
  • António Rua

The statistical modelling of extreme values has recently received substantial attention in a broad spectrum of sciences. Given that in a wide variety of scenarios, one is mostly concerned with explaining tail events (say, an economic recession) than central ones, the need to rely on statistical methods well qualified for modelling extremes arises. Unfortunately, several classical tools regularly applied in the analysis of central events, are simply innapropriate for the analysis of extreme values. In particular, Pearson correlation is not a proper measure for assessing the level of agreement of two variables when one is concerned with tail events. This paper explores the comovement of the economic activity of several OECD countries during periods of large positive and negative growth (right and left tails, respectively). Extremal measures are here applied as means to assess the degree of cross-country tail dependence of output growth rates. Our main empirical findings are: (i) the comovement is much stronger in left tails than in right tails; (ii) asymptotic independence is claimed by the data; (iii) the dependence in the tails is considerably stronger than the one arising from a Gaussian dependence model. In addition, our results suggest that, among the typical determinants for explaining international output growth synchronization, only economic specialization similarity seems to play a role at extreme events.

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Paper provided by Banco de Portugal, Economics and Research Department in its series Working Papers with number w201008.

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Date of creation: 2010
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Handle: RePEc:ptu:wpaper:w201008
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  1. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2006. "Are output growth-rate distributions fat-tailed? Some evidence from OECD countries," Sciences Po publications 36, Sciences Po.
  2. Levine, Ross & Renelt, David, 1992. "A Sensitivity Analysis of Cross-Country Growth Regressions," American Economic Review, American Economic Association, vol. 82(4), pages 942-63, September.
  3. Inklaar, Robert & Jong-A-Pin, Richard & de Haan, Jakob, 2008. "Trade and business cycle synchronization in OECD countries--A re-examination," European Economic Review, Elsevier, vol. 52(4), pages 646-666, May.
  4. Jean Imbs, 2004. "Trade, Finance, Specialization, and Synchronization," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 723-734, August.
  5. Bollerslev, Tim & Todorov, Viktor & Li, Sophia Zhengzi, 2013. "Jump tails, extreme dependencies, and the distribution of stock returns," Journal of Econometrics, Elsevier, vol. 172(2), pages 307-324.
  6. Granger, Clive W.J. & Terasvirta, Timo & Patton, Andrew J., 2006. "Common factors in conditional distributions for bivariate time series," Journal of Econometrics, Elsevier, vol. 132(1), pages 43-57, May.
  7. Gligor, Mircea & Ausloos, Marcel, 2008. "Convergence and Cluster Structures in EU Area according to Fluctuations in Macroeconomic Indices," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 23, pages 297-330.
  8. Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Koç University-TUSIAD Economic Research Forum Working Papers 1124, Koc University-TUSIAD Economic Research Forum.
  9. S. T. M. Straetmans & W. F. C. Verschoor & C. C. P. Wolff, 2008. "Extreme US stock market fluctuations in the wake of 9|11," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 17-42.
  10. Carolina Castaldi & Giovanni Dosi, 2009. "The patterns of output growth of firms and countries: Scale invariances and scale specificities," Empirical Economics, Springer, vol. 37(3), pages 475-495, December.
  11. Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
  12. Marianne Baxter & Michael A. Kouparitsas, 2004. "Determinants of business cycle comovement: a robust analysis," Working Paper Series WP-04-14, Federal Reserve Bank of Chicago.
  13. Edward E. Leamer, 1982. "Let's Take the Con Out of Econometrics," UCLA Economics Working Papers 239, UCLA Department of Economics.
  14. Xavier X. Sala-i-Martin, 1997. "I Just Ran Four Million Regressions," NBER Working Papers 6252, National Bureau of Economic Research, Inc.
  15. Ser-Huang Poon, 2004. "Extreme Value Dependence in Financial Markets: Diagnostics, Models, and Financial Implications," Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 581-610.
  16. Feng Ren & David E. Giles, 2007. "Extreme Value Analysis of Daily Canadian Crude Oil Prices," Econometrics Working Papers 0708, Department of Economics, University of Victoria.
  17. Jeffrey A. Frankel & Andrew K. Rose, 1996. "The Endogeneity of the Optimum Currency Area Criteria," NBER Working Papers 5700, National Bureau of Economic Research, Inc.
  18. Hamid Mohtadi & Antu Panini Murshid, 2009. "Risk of catastrophic terrorism: an extreme value approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 537-559.
  19. M. de Carvalho & K. F. Turkman & A. Rua, 2013. "Dynamic threshold modelling and the US business cycle," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 535-550, 08.
  20. Youngki Lee & Luis A. N. Amaral & David Canning & Martin Meyer & H. Eugene Stanley, 1998. "Universal features in the growth dynamics of complex organizations," Papers cond-mat/9804100,
  21. Mohtadi, Hamid & Murshid, Antu, 2009. "The risk of catastrophic terrorism: an extreme value approach," MPRA Paper 25738, University Library of Munich, Germany.
  22. Paul Embrechts, 2009. "Copulas: A Personal View," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 639-650.
  23. Canning, D. & Amaral, L. A. N. & Lee, Y. & Meyer, M. & Stanley, H. E., 1998. "Scaling the volatility of GDP growth rates," Economics Letters, Elsevier, vol. 60(3), pages 335-341, September.
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