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Re-Examining the Nifty Returns after the First Decade of Derivative Trading in Indian Capital Market Using Non-Linear Asymmetric GARCH Models

机译:使用非线性非对称GARCH模型重新研究印度资本市场第一个十年的衍生交易之后的漂亮收益

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摘要

This article examines the Indian stock market for conditional volatility usingsymmetric andasymmetric GARCH (Generalized A utoregressive Conditional Heteroskedasticity) variants with reference to a comprehensive period of 20 years from July 3, 1990 to November 30, 2010 using S&P CNX Nifty. The impact of future trading on Nifty return and volatility is assessed using dummy variable in total period and using Log (Open Interest of Nifty futures) in post-derivative period. A long with the period of two decades the analysis has also been done on a sub-period of a decade from 1995 to 2005 with NiftyJunior as surrogate index as it had no derivatives during this period. The results show that the PGARCH model is best suited to Indian market conditions.
机译:本文使用S&P CNX Nifty,考察了1990年7月3日至2010年11月30日的20年综合期间,使用对称和不对称GARCH(广义A回归条件异方差)对印度股市进行了条件波动研究。期货交易对Nifty回报和波动率的影响是使用总期间的哑变量和衍生后期的Log(Nifty期货的未平仓头寸)进行评估的。在长达二十年的漫长过程中,还对1995年至2005年这十年的一个子周期进行了分析,以NiftyJunior作为替代指数,因为在此期间它没有任何衍生工具。结果表明,PGARCH模型最适合印度市场条件。

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