Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/3179
Title: Domestic and international information linkages between NSE Nifty spot and futures markets: an empirical study for India
Authors: Sehgal, Sanjay
Dutt, Mala
Keywords: Information linkages
Price discovery
Volatility spillover
Bivariate GARCH–BEKK model
Issue Date: Sep-2016
Publisher: Indian Institute of Management Calcutta, Kolkata
Series/Report no.: Vol.43;No.3
Abstract: This paper examines the information linkages between NSE Nifty Index spot and futures in India and Nifty futures traded on international platforms from August 2008 to March 2015. We find that, at domestic level, Nifty spot leads Nifty futures in the price discovery process. Further, NSE futures lead all the three international exchanges, namely, SGX, OSE and CME. This confirms that NSE is the dominant platform for Nifty trading, while the international exchanges act as satellites. The information path for transmission of Nifty price signals brings out geographical proximity, trading costs, trading hours, information access and currency denomination of Nifty futures contracts at individual exchanges as major factors for the lead–lag relationships. Short-term volatility spillover path is from Nifty spot to futures on NSE, and NSE leads two of the three international counterparts (SGX and OSE). No significant long-term volatility spillovers are observed domestically as also internationally, except bilateral information transmission between NSE and SGX. The dominance of NSE Nifty spot suggests that hedgers play an important role in both price discovery as well as risk hedging. These findings are relevant for policy makers, portfolio managers as well as the academic community.
Description: Sanjay Sehgal & Mala Dutt, Department of Financial Studies, University of Delhi, New Delhi, 110 021, India
p.239-258
Issue Editor – R. Rajesh Babu
URI: https://doi.org/10.1007/s40622-016-0137-1
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/3179
ISSN: 0304-0941 (print version) ; 2197-1722 (electronic version)
Appears in Collections:Issue 3, September 2016

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