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Time-Scale Decomposition of Price Transmission in International Markets

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  • Viviana Fernandez

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Abstract

article focuses on return spillovers in stock markets at different time scales using wavelet analysis. We look at eight stock indices that comprise the G7 countries, Emerging Asia, Europe, Eastern Europe and the Middle East, the Emerging Far East, Latin America, North America, and the Pacific region for the period 1990-2002. Our estimation results show evidence of price spillovers from the G7 countries to Europe, Eastern Europe and the Middle East, Emerging Asia, Europe, Latin America, and North America. However, price spillovers of these regions to the G7 countries are weaker at different time scales. Similarly, we find price spillovers from North America to Latin America, Emerging Asia, the Emerging Far East, and the Pacific region, and from both Europe and Latin America to North America. Our results are robust to the existence of asymmetric GARCH-effects and serial correlation in returns.

Suggested Citation

  • Viviana Fernandez, 2004. "Time-Scale Decomposition of Price Transmission in International Markets," Documentos de Trabajo 189, Centro de Economía Aplicada, Universidad de Chile.
  • Handle: RePEc:edj:ceauch:189
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    Cited by:

    1. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2015. "Why is no financial crisis a dress rehearsal for the next? Exploring contagious heterogeneities across major Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 241-259.
    2. el Alaoui, Abdelkader O. & Dewandaru, Ginanjar & Azhar Rosly, Saiful & Masih, Mansur, 2015. "Linkages and co-movement between international stock market returns: Case of Dow Jones Islamic Dubai Financial Market index," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 53-70.
    3. Rizvi, Syed Aun R. & Arshad, Shaista & Alam, Nafis, 2015. "Crises and contagion in Asia Pacific — Islamic v/s conventional markets," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 315-326.
    4. Silvo Dajčman, 2013. "Interdependence Between Some Major European Stock Markets - A Wavelet Lead/Lag Analysis," Prague Economic Papers, University of Economics, Prague, vol. 2013(1), pages 28-49.
    5. Crowley, Patrick M., 2005. "An intuitive guide to wavelets for economists," Research Discussion Papers 1/2005, Bank of Finland.
    6. Tabak, Benjamin M. & de Castro Miranda, Rodrigo & da Silva Medeiros, Maurício, 2016. "Contagion in CDS, banking and equity markets," Economic Systems, Elsevier, vol. 40(1), pages 120-134.
    7. Dewandaru, Ginanjar & Rizvi, Syed Aun R. & Masih, Rumi & Masih, Mansur & Alhabshi, Syed Othman, 2014. "Stock market co-movements: Islamic versus conventional equity indices with multi-timescales analysis," Economic Systems, Elsevier, vol. 38(4), pages 553-571.
    8. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2016. "What can wavelets unveil about the vulnerabilities of monetary integration? A tale of Eurozone stock markets," Economic Modelling, Elsevier, vol. 52(PB), pages 981-996.
    9. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
    10. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.

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