Commodity Transaction Tax (CTT): Nature of Correlation Dynamics and Volatility Linkages Between Indian Commodity and Equity Markets

Swamy Perumandla, Padma Kurisetti
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引用次数: 1

Abstract

This study aims to examine the time-varying correlations and volatility linkages between commodity and equity markets before and after the implementation of the commodity transaction tax (CTT) in India in 2013. The study utilizes symmetric and asymmetric DCC-EGARCH model to estimate correlation dynamics. Evidence suggests that the volatility and dynamic correlation linkages between commodities and equity markets are significantly affected by the triggering events. The time-varying correlations of Comdex-Nifty 50 show an unintended steep decline in the post-CTT period. It is an indication of a “flight to quality” phenomenon, where investors move capital from non-agricultural commodity futures to other cross markets and international markets. However, DCC of Comdex-Dhaanya pair is highly volatile in the post-CTT period and also noticed an increased correlation and volatility between the Dhaanya-Nifty 50 pair. Moreover, the correlation dynamics reveal a certain degree of interdependence between the cross markets, which are lower especially during the triggering episodes.
商品交易税(CTT):印度商品和股票市场之间的相关性动态和波动性联系的性质
本研究旨在考察2013年印度实施商品交易税(CTT)前后商品和股票市场之间的时变相关性和波动性联系。本研究采用对称和非对称DCC-EGARCH模型估计相关动态。有证据表明,大宗商品和股票市场之间的波动性和动态相关性联系受到触发事件的显著影响。Comdex-Nifty 50指数的时变相关性显示,在ctt之后的时期,该指数出现了意外的急剧下跌。这是一种“逃向优质”现象的迹象,即投资者将资金从非农大宗商品期货转移到其他交叉市场和国际市场。然而,Comdex-Dhaanya汇价的DCC在ctt后时期波动很大,并且也注意到Dhaanya-Nifty 50汇价之间的相关性和波动性增加。此外,相关动态揭示了交叉市场之间一定程度的相互依赖,特别是在触发事件期间,相互依赖程度较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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