Volatility Analysis of the Indian Stock Market: Insights from Bank Nifty Index and Futures Trading

Abstract Objective To diagnose the relationship between futures contract trading and the volatility of stocks in the Bank Nifty Index. Methodology Time series analysis and the GARCH model are employed to study the interaction between futures trading and spot market volatility. Findings The analysis revealed that out of the six banks analyzed, just two demonstrated a statistically significant influence of future trading on volatility, while the remaining four did not exhibit any such relationship. Value Added This study provides a nuanced understanding of the impact of futures trading on stock volatility within the Bank Nifty Index, specifically highlighting variations across banks. By including the COVID -19 period, this research captures the influence of unprecedented market shocks on volatility dynamics in an emerging market context, providing valuable insights into how futures trading operates under unique stress conditions. Moreover, the study fills a gap in the existing literature by including all top -weighted banks in the Bank Nifty, especially those that were previously overlooked, thereby enhancing the relevance of the findings for policymakers and market participants. Recommendations Policymakers and regulators should consider adopting tailored guidelines that reflect the different responses of individual banks to futures trading, as one-size-fits-all regulations may overlook stock -specific volatility dynamics. Market participants, especially investors and retail traders, are advised to apply targeted risk management and hedging strategies based on each bank’s unique volatility patterns rather than generalizing across the industry.

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Publication Details

Journal
Journal of Intercultural Management
Published
2024-12-01
DOI
https://doi.org/10.2478/joim-2024-0013
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
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article

Volatility Analysis of the Indian Stock Market: Insights from Bank Nifty Index and Futures Trading

Tetiana Paientko, Rashmi Ravindra Kumar Pundir
1 citations
Journal of Intercultural Management
Market Dynamics and Volatility
1.13
article

Volatility Analysis of the Indian Stock Market: Insights from Bank Nifty Index and Futures Trading

Tetiana Paientko, Rashmi Ravindra Kumar Pundir
article en
1 citations

Abstract

Abstract Objective To diagnose the relationship between futures contract trading and the volatility of stocks in the Bank Nifty Index. Methodology Time series analysis and the GARCH model are employed to study the interaction between futures trading and spot market volatility. Findings The analysis revealed that out of the six banks analyzed, just two demonstrated a statistically significant influence of future trading on volatility, while the remaining four did not exhibit any such relationship. Value Added This study provides a nuanced understanding of the impact of futures trading on stock volatility within the Bank Nifty Index, specifically highlighting variations across banks. By including the COVID -19 period, this research captures the influence of unprecedented market shocks on volatility dynamics in an emerging market context, providing valuable insights into how futures trading operates under unique stress conditions. Moreover, the study fills a gap in the existing literature by including all top -weighted banks in the Bank Nifty, especially those that were previously overlooked, thereby enhancing the relevance of the findings for policymakers and market participants. Recommendations Policymakers and regulators should consider adopting tailored guidelines that reflect the different responses of individual banks to futures trading, as one-size-fits-all regulations may overlook stock -specific volatility dynamics. Market participants, especially investors and retail traders, are advised to apply targeted risk management and hedging strategies based on each bank’s unique volatility patterns rather than generalizing across the industry.

Journal of Intercultural ManagementVol. 16(4)
HTW Berlin - University of Applied Sciences (DE)
Partnerships for the goals
Openalex Percentile: Top 10%
Market Dynamics and Volatility
1.13
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