Correlation dynamics in equity markets: evidence from India
AbstractThis 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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Bibliographic InfoArticle provided by Elsevier in its journal Research in International Business and Finance.
Volume (Year): 25 (2011)
Issue (Month): 1 (January)
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Web page: http://www.elsevier.com/locate/ribaf
Correlation dynamics Multivariate GARCH Logistic trend function;
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