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International comovement of stock market returns: A wavelet analysis

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  • Rua, António
  • Nunes, Luís C.

Abstract

The assessment of the comovement among international stock markets is of key interest, for example, for the international portfolio diversification literature. In this paper, we re-examine such comovement by resorting to a novel approach, wavelet analysis. Wavelet analysis allows one to measure the comovement in the time-frequency space. In this way, one can characterize how international stock returns relate in the time and frequency domains simultaneously, which allows one to provide a richer analysis of the comovement. We focus on Germany, Japan, UK and US and the analysis is done at both the aggregate and sectoral levels.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Empirical Finance.

Volume (Year): 16 (2009)
Issue (Month): 4 (September)
Pages: 632-639

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Handle: RePEc:eee:empfin:v:16:y:2009:i:4:p:632-639

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Web page: http://www.elsevier.com/locate/jempfin

Related research

Keywords: International stock markets Comovement Wavelets Time-frequency space;

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References

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  1. Robin Brooks & Marco Del Negro, 2003. "Firm-level evidence on international stock market movement," Working Paper 2003-8, Federal Reserve Bank of Atlanta.
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Citations

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Cited by:
  1. António Rua & Luís Catela Nunes, 2012. "A wavelet-based assessment of market risk: The emerging markets case," Working Papers w201203, Banco de Portugal, Economics and Research Department.
  2. Thomas Conlon & John Cotter, 2012. "Downside risk and the energy hedger's horizon," Working Papers 201219, Geary Institute, University College Dublin.
  3. António Rua, 2010. "Measuring comovement in the time-frequency space," Working Papers w201001, Banco de Portugal, Economics and Research Department.
  4. Lukas Vacha & Karel Janda & Ladislav Kristoufek & David Zilberman, 2012. "Time-Frequency Dynamics of Biofuels-Fuels-Food System," Papers 1209.0900, arXiv.org.
  5. Lupu, Radu, 2011. "Shock transmission among the European Stock markets - Conferinta CRESTERE ECONOMICA SI SUSTENABILITATE SOCIALA. PROVOCARI SI PERSPECTIVE EUROPENE>," Institute for Economic Forecasting Conference Proceedings 101101, Institute for Economic Forecasting.
  6. António Rua, 2012. "Money Growth and Inflation in the Euro Area: A Time-Frequency View," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 875-885, December.
  7. António Rua, 2012. "Wavelets in economics," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  8. Berger, Dave & Pukthuanthong, Kuntara & Jimmy Yang, J., 2011. "International diversification with frontier markets," Journal of Financial Economics, Elsevier, vol. 101(1), pages 227-242, July.
  9. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
  10. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.
  11. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
  12. Thomas Conlon & John Cotter & Ramazan Gencay, 2012. "Commodity futures hedging, risk aversion and the hedging horizon," Working Papers 201218, Geary Institute, University College Dublin.
  13. António Rua & Artur Silva Lopes, 2012. "Cohesion within the euro area and the U. S.: a wavelet-based view," Working Papers w201204, Banco de Portugal, Economics and Research Department.
  14. Pui Sun Tam & Pui I Tam, 2012. "Rethinking stock market integration: Globalization, valuation and convergence," SFB 649 Discussion Papers SFB649DP2012-052, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  15. Jozef Barunik & Michaela Barunikova, 2012. "Revisiting the fractional cointegrating dynamics of implied-realized volatility relation with wavelet band spectrum regression," Papers 1208.4831, arXiv.org, revised Feb 2013.
  16. R. Khalfaoui & M. Boutahar, 2012. "Portfolio Risk Evaluation: An Approach Based on Dynamic Conditional Correlations Models and Wavelet Multi-Resolution Analysis," Working Papers halshs-00793068, HAL.
  17. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).

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