This analysis investigates market behavior and volatility patterns in the pharmaceutical sector, suggesting key insights for investors.
This study explores the Nifty Pharma Index, focusing on the key drivers of growth and market behavior within the pharmaceutical sector. The research leverages six years of daily market data to examine trends, volatility, and the factors influencing the market performance of the index. Through a combination of econometric techniques, including Augmented Dickey-Fuller (ADF) tests, autocorrelation analysis, and GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and ARIMA (AutoRegressive Integrated Moving Average) models, the paper provides a detailed understanding of the Nifty Pharma Index's dynamic market behavior. The findings offer valuable insights for investors, policymakers, and market analysts, highlighting the volatility patterns and forecasting future price movements in the pharmaceutical sector.
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Pranchana et al. (2025) studied this question.
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