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@article{183319,
        author = {Gaurav Jivanbhai Parmar},
        title = {A Time Series Analysis of Share Prices of Nifty 50 Companies (January 2020 to January 2025)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {917-919},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183319},
        abstract = {A time series analysis of the share prices of a few chosen Nifty 50 businesses from January 1, 2020 to January 31, 2025 is carried out in this study. To find underlying trends, seasonal factors, and market volatility, we use statistical models such as trend analysis, moving averages, and decomposition techniques on daily closing prices. The goal is to assess these shares' performance and consistency over time and provide insights into market behaviour during a highly dynamic time characterized by the COVID-19 pandemic and changes in the global economy. The results are intended to help analysts, investors, and policymakers comprehend trends in market activity and make informed investment choices.},
        keywords = {Time Series Analysis, Nifty 50, Stock Prices, Trend Analysis, Decomposition, Moving Average, Forecasting.},
        month = {August},
        }