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@article{188873,
        author = {Rashid Iqubal Ansari},
        title = {Volatility Behaviour of Nifty 50 and Bank Nifty: A Comparative Time-Series Analysis.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4337-4342},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188873},
        abstract = {This study investigates the volatility behaviour of two major Indian stock indices—Nifty 50 and Bank Nifty—using historical time-series data. The objective is to compare the magnitude, persistence, and pattern of volatility between the broad market index and the sector-specific banking index. Daily closing price data from the National Stock Exchange (NSE) have been analyzed for a five-year period using statistical and econometric tools such as standard deviation, coefficient of variation, and GARCH family models. The analysis reveals that both indices exhibit volatility clustering, a typical feature of financial time series, but the Bank Nifty demonstrates comparatively higher volatility and stronger persistence. This indicates that the banking sector is more sensitive to macroeconomic and policy developments than the overall market. The findings provide meaningful insights for investors, portfolio managers, and policymakers regarding sectoral risk assessment and investment strategy formulation. The study also emphasizes the importance of volatility modelling in understanding the dynamics of the Indian equity market.},
        keywords = {Nifty 50, Bank Nifty, Volatility Analysis, Time-Series Modelling, Indian Stock Market},
        month = {December},
        }