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Asymmetry in the EMS: New evidence based on non-linear forecasts

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  • Oscar Bajo-Rubio
  • Simón Sosvilla-Rivero
  • Fernado Fernández-Rodríguez

Abstract

In this paper we provide new evidence on the hypothesis of German leadership and asymmetric performance in the EMS, in the framework of causality tests, using daily data. Given the evidence about non-linearity in financial series, we propose applying non-linear forecasting methods based on the literature on complex dynamic systems. Our analysis covers nine countries, and the sample period runs until 30 April 1998, so including the more recent events in the EMS history. A comparison of our results with those obtained from standard linear econometric techniques leads us to conclude that inference on causality based on our non-linear predictors would be preferable to that based on the standard linear approach.

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Paper provided by FEDEA in its series Working Papers with number 97-24.

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Handle: RePEc:fda:fdaddt:9724

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Blog mentions

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  1. Mehr Europa: Du mußt es dreimal sagen
    by Alberto Bagnai in Goofynomics on 2012-06-03 22:07:00
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Cited by:
  1. Costas Milas & Ilias Lekkos & Theodore Panagiotidis, 2006. "Forecasting interest rate swap spreads using domestic and international risk factors: Evidence from linear and non-linear models," Keele Economics Research Papers KERP 2006/05, Centre for Economic Research, Keele University.
  2. Francisco Pérez-Bermejo & Simón Sosvilla-Rivero, . "Currency Crises and Political Factors: Drawing Lessons from the EMS Experience," Working Papers 2004-04, FEDEA.
  3. Tuysuz, Sukriye & Kuhry, Yves, 2007. "Interactions between interest rates and the transmission of monetary and economic news: the cases of US and UK," MPRA Paper 5255, University Library of Munich, Germany.
  4. Fiordelisi, Franco & Marqués-Ibáñez, David & Molyneux, Phil, 2010. "Efficiency and risk in european banking," Working Paper Series 1211, European Central Bank.
  5. S. Sosvilla-Rivero & R. Maroto-Illera, 2003. "Regimen changes and duration in the European Monetary System," Applied Economics, Taylor & Francis Journals, vol. 35(18), pages 1923-1933.
  6. Angelos Kanas, 2003. "Non-linear forecasts of stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 299-315.
  7. F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor & Francis Journals, vol. 13(2), pages 113-122.
  8. Dios Palomares, Rafaela & Martínez Paz, José Miguel & Martínezcarrasco Pleite, Federico, 2006. "Including environmental variables in the effi ciency analysis: A three-step method/El análisis de efi ciencia con variables de entorno: un método de programas con tres etapas," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 24, pages 477-497, Abril.
  9. Anders Bredahl Kock & Timo Teräsvirta, 2010. "Forecasting with nonlinear time series models," CREATES Research Papers 2010-01, School of Economics and Management, University of Aarhus.
  10. Oscar Bajo-Rubio & M. Dolores Montávez-Garcés, 2002. "Was there Monetary Autonomy in Europe on the eve of EMU? The German Dominance Hypothesis Re-Examined," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 185-207, November.
  11. Francisco Ledesma-Rodríguez & Manuel Navarro-Ibáñezr & Jorge Pérez-Rodríguez & Simón Sosvilla-Rivero, . "Implicit regimes for the Spanish Peseta/Deutschmark exchange rate," Working Papers 2005-21, FEDEA.
  12. Fratzscher, Marcel & Mehl, Arnaud, 2011. "China's dominance hypothesis and the emergence of a tri-polar global currency system," Working Paper Series 1392, European Central Bank.
  13. Laopodis, Nikiforos T., 2005. "Portfolio diversification benefits within Europe: Implications for a US investor," International Review of Financial Analysis, Elsevier, vol. 14(4), pages 455-476.
  14. Francisco Ledesma-Rodriguez & Manuel Navarro-Ibanez & Jorge Perez-Rodriguez & Simon Sosvilla-Rivero, 2005. "Assessing the credibility of a target zone: evidence from the EMS," Applied Economics, Taylor & Francis Journals, vol. 37(19), pages 2265-2287.
  15. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
  16. Laopodis, Nikiforos T., 2004. "Monetary policy implications of comovements among long-term interest rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(2), pages 135-164, April.
  17. Laopodis, Nikiforos T., 2004. "European and international asymmetry in the volatility transmission mechanism: the "German Dominance Hypothesis" revisited," Journal of Economics and Business, Elsevier, vol. 56(2), pages 75-97.
  18. Forssbaeck, Jens & Oxelheim, Lars, 2005. "On the Link between Exchange-Rate Regimes and Monetary-Policy Autonomy: The European Experience," Working Paper Series 637, Research Institute of Industrial Economics.

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