Correlation dynamics in equity markets: Evidence from India
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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