Exploring Corporate Recovery with Time Series Forecasting in the Indian Stock Market

Abstract

The paper analyzes post-COVID-19 performance of Adani Group shares by considering its three listed entities: Adani Green Energy, Adani Power, and Adani Ports & Special Economic Zone. Through utilizing time series analysis, in this instance the ARIMA model, and data manipulation via Python-based programs (Pandas, NumPy, and pmdarima) and Power BI for visualization, the study revisits past stock performance between 2019 and 2024 in efforts to find patterns, forecast trends, and investigate reaction by the market. The study reveals huge price and volume fluctuations in the shares of the companies, illustrating how the pandemic affected their financial trajectory. Not taking into consideration technical analysis, the study critically discusses the group's reaction strategies to market shocks like diversification, geographic diversification, and renewable power selection. The study also finds the socio-political and environmental implication within the group, giving a fair report of the performance of the group in the market and image among the public. The research presents executable recommendations on corporate resilience, investor sentiment, and market recovery tools and makes a contribution to the larger global financial resilience and economic nimbleness discourse in times of international crises.