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Wavelets based multiscale analysis of select global equity returns

Author

Listed:
  • Avishek BHANDARI

    (Institute of Management Technology, Hyderabad, India)

Abstract
This paper examines the relationship between Indian equity prices other developed markets, in the time-scale domain, using wavelets based multiscale analysis and cross wavelet analysis. Stock markets are analyzed at different levels of resolution which makes it possible to perform a scale by scale analysis enabling us to detect the correlation and cross-correlation structures at time periods with high frequency oscillations and also the relatively low frequency structures. There seems to be a weak integration between BSE and other developed markets at almost all levels of time-scale resolution and a strong relationship between French and German Markets. Analyzing the stock returns at different multiscale resolution makes it easier for agents dealing with different trading horizons.

Suggested Citation

  • Avishek BHANDARI, 2017. "Wavelets based multiscale analysis of select global equity returns," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(613), W), pages 75-88, Winter.
  • Handle: RePEc:agr:journl:v:4(613):y:2017:i:4(613):p:75-88
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    References listed on IDEAS

    as
    1. Jozef Barunik & Lukas Vacha & Ladislav Krištoufek, 2011. "Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data," Working Papers IES 2011/22, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2011.
    2. Ramsey James B. & Lampart Camille, 1998. "The Decomposition of Economic Relationships by Time Scale Using Wavelets: Expenditure and Income," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-22, April.
    3. Patrick Crowley, 2005. "An intuitive guide to wavelets for economists," Econometrics 0503017, University Library of Munich, Germany.
    4. Patrick Crowley & Jim Lee, 2005. "Decomposing the co-movement of the business cycle: a time- frequency analysis of growth cycles in the eurozone," Macroeconomics 0503015, University Library of Munich, Germany.
    5. Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 49-71, March.
    6. Gallegati, Marco, 2008. "Wavelet analysis of stock returns and aggregate economic activity," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3061-3074, February.
    7. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    8. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    9. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
    10. repec:zbw:bofrdp:2005_001 is not listed on IDEAS
    11. repec:zbw:bofrdp:2005_012 is not listed on IDEAS
    12. Ramsey, James B. & Zhang, Zhifeng, 1995. "The Analysis of Foreign Exchange Data Using Waveform Dictionaries," Working Papers 95-03, C.V. Starr Center for Applied Economics, New York University.
    13. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
    14. Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon, 2001. "Scaling properties of foreign exchange volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(1), pages 249-266.
    15. Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011. "Business cycle synchronization and the Euro: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
    16. François Benhmad, 2013. "Bull or Bear markets," Post-Print hal-03062493, HAL.
    17. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2005. "Multiscale systematic risk," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 55-70, February.
    18. Fernández-Macho, Javier, 2012. "Wavelet multiple correlation and cross-correlation: A multiscale analysis of Eurozone stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1097-1104.
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    Cited by:

    1. Sithole, Rumbidzai Praise & Eita, Joel Hinaunye, 2020. "A test of integration between the South African and selected African stock markets," MPRA Paper 101301, University Library of Munich, Germany.

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