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

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  • Swamy Perumandla

    (Madanapalle Institute of Technology and Science (MITS), India)

  • Padma Kurisetti

    (National Institute of Technology, Warangal, India)

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.

Suggested Citation

  • Swamy Perumandla & Padma Kurisetti, 2021. "Commodity Transaction Tax (CTT): Nature of Correlation Dynamics and Volatility Linkages Between Indian Commodity and Equity Markets," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(2), pages 16-36, April.
    • Handle: RePEc:igg:jabim0:v:12:y:2021:i:2:p:16-36
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    References listed on IDEAS

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    1. Soni, Rajat Kumar & Nandan, Tanuj, 2022. "Modeling Covid-19 contagious effect between asset markets and commodity futures in India," Resources Policy, Elsevier, vol. 79(C).

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