Volatility Analysis of the Indian
Stock Market: Insights from Bank
Nifty Index and Futures Trading
Volatility Analysis of the Indian
Stock Market: Insights from Bank
Nifty Index and Futures Trading
Author(s): Tatiana Paientko, Rashmi Ravindra Kumar PundirSubject(s): National Economy, Financial Markets
Published by: Społeczna Akademia Nauk
Keywords: volatility; future trading; bank index; stock market; spot market;
Summary/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 high- lighting 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 rele- vance of the findings for policymakers and market participants. Recommendations: Policymakers and regulators should consider adopting tai- lored guidelines that reflect the different responses of individual banks to futures trading, as one-size-fits-all regulations may overlook stock -specific volatility dy- namics. 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: Journal of Intercultural Management
- Issue Year: 16/2024
- Issue No: 4
- Page Range: 5-41
- Page Count: 37
- Language: English
