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Correlation dynamics in equity markets: evidence from India

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  • Durai, S. Raja Sethu
  • Bhaduri, Saumitra N.

Abstract

This study is aimed at understanding the correlation dynamics of the equity markets from a developing country perspective using daily data from July 1997 to August 2006. A simple unconditional correlation estimate and dynamic time varying correlation estimate from a DCC-MVGARCH of Engle and Sheppard (2001) are derived for S&P CNX Nifty and other 10 world indices that includes four developed and six Asian country indices. The results show low correlation across S&P CNX Nifty with both Asian and developed nations. In addition a Logistic Smooth Transition Regression (LSTR) model is implemented and finds that the S&P CNX Nifty index is moving towards a better integration with other world markets but not at a very noteworthy phase. The low correlation provides space for the global funds to diversify risk in Indian markets.

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  • Durai, S. Raja Sethu & Bhaduri, Saumitra N., 2011. "Correlation dynamics in equity markets: evidence from India," Research in International Business and Finance, Elsevier, vol. 25(1), pages 64-74, January.
  • Handle: RePEc:eee:riibaf:v:25:y:2011:i:1:p:64-74
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    6. Výrost, Tomáš & Lyócsa, Štefan & Baumöhl, Eduard, 2015. "Granger causality stock market networks: Temporal proximity and preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 262-276.
    7. M.A. Lagesh & Mohammed Kasim C. & Sunil Paul, 2014. "Commodity Futures Indices and Traditional Asset Markets in India: DCC Evidence for Portfolio Diversification Benefits," Global Business Review, International Management Institute, vol. 15(4), pages 777-793, December.
    8. Lyócsa, Štefan & Baumöhl, Eduard, 2015. "Similarity of emerging market returns under changing market conditions: Markets in the ASEAN-4, Latin America, Middle East, and BRICs," Economic Systems, Elsevier, vol. 39(2), pages 253-268.
    9. Jacobs, Michael & Karagozoglu, Ahmet K., 2014. "On the characteristics of dynamic correlations between asset pairs," Research in International Business and Finance, Elsevier, vol. 32(C), pages 60-82.
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