Correlation dynamics in equity markets: Evidence from India

dc.contributor.author Durai, S. Raja Sethu
dc.contributor.author Bhaduri, Saumitra N.
dc.date.accessioned 2022-03-27T02:09:51Z
dc.date.available 2022-03-27T02:09:51Z
dc.date.issued 2011-01-01
dc.description.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. © 2010 Elsevier B.V.
dc.identifier.citation Research in International Business and Finance. v.25(1)
dc.identifier.issn 02755319
dc.identifier.uri 10.1016/j.ribaf.2010.07.002
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S0275531910000346
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/4754
dc.subject Correlation dynamics
dc.subject Logistic trend function
dc.subject Multivariate GARCH
dc.title Correlation dynamics in equity markets: Evidence from India
dc.type Journal. Article
dspace.entity.type
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