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Time-scale comovement between the Indian and world stock markets

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  • Rahul Deora
  • Duc Khuong Nguyen

Abstract

We propose a wavelet-based dynamic conditional correlation – GARCH approach to investigate the time-scale comovement between the Indian and world stock markets. Our empirical analysis reveals the existence of time- scale-dependent comovement between Indian and world stock markets. The results can thus be used by heterogene- ous groups of foreign and Indian investors who trade in different time horizons to actively manage and hedge against the risk of their portfolios.

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Bibliographic Info

Paper provided by Department of Research, Ipag Business School in its series Working Papers with number 2014-242.

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Length: 11 pages
Date of creation: 28 Apr 2014
Date of revision:
Handle: RePEc:ipg:wpaper:2014-242

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Keywords: comovement; Indian stock markets; DCC-GARCH; wavelet analysis;

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  1. Kim, Sangbae & In, Francis, 2007. "On the relationship between changes in stock prices and bond yields in the G7 countries: Wavelet analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 167-179, April.
  2. Guesmi, Khaled & Nguyen, Duc Khuong, 2011. "How strong is the global integration of emerging market regions? An empirical assessment," Economic Modelling, Elsevier, vol. 28(6), pages 2517-2527.
  3. Lahrech, Abdelmounaim & Sylwester, Kevin, 2011. "U.S. and Latin American stock market linkages," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1341-1357.
  4. François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
  5. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2005. "Multiscale systematic risk," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 55-70, February.
  6. Monica Billio & Massimiliano Caporin & Michele Gobbo, 2006. "Flexible Dynamic Conditional Correlation multivariate GARCH models for asset allocation," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 2(2), pages 123-130, March.
  7. Carrieri, Francesca & Errunza, Vihang & Hogan, Ked, 2007. "Characterizing World Market Integration through Time," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(04), pages 915-940, December.
  8. Francis In & Sangbae Kim, 2006. "The Hedge Ratio and the Empirical Relationship between the Stock and Futures Markets: A New Approach Using Wavelet Analysis," The Journal of Business, University of Chicago Press, vol. 79(2), pages 799-820, March.
  9. Bekaert, Geert & Harvey, Campbell R, 1995. " Time-Varying World Market Integration," Journal of Finance, American Finance Association, vol. 50(2), pages 403-44, June.
  10. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-50, July.
  11. Sheppard, Kevin & Cappiello, Lorenzo & Engle, Robert F., 2003. "Asymmetric dynamics in the correlations of global equity and bond returns," Working Paper Series 0204, European Central Bank.
  12. De Santis, Giorgio & Gerard, Bruno, 1997. " International Asset Pricing and Portfolio Diversification with Time-Varying Risk," Journal of Finance, American Finance Association, vol. 52(5), pages 1881-1912, December.
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