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@article{184938,
        author = {Shanthi Kumari D and Chippolu Nagaraja},
        title = {A Study on Performance Analysis of Initial Public Offerings (IPO’s) in India},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {3723-3729},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184938},
        abstract = {The Indian capital market has seen a spurt in Initial Public Offerings (IPOs), and so it has become a critical research area for investors as well as policymakers. The current paper analyzes the performance of main-board IPOs listed on the Bombay Stock Exchange (BSE) and National Stock Exchange (NSE) in 2022, with a focus on listing day performance and their subsequent financial performance. The research examines major determinants like issue size, issue price, firm age, subscription rate, and market conditions in general. Secondary data of 40 IPOs were statistically analyzed with the help of statistical software like linear regression and paired t-tests in SPSS 28. The results show that although approximately 62% of IPOs listed at a premium to the issue price, close to 38% either listed at par or at a discount, indicating the uncertainty of success of IPOs. Sector-wise analysis indicates that engineering, advertising, healthcare, and telecom sectors performed better, while traditional sectors such as steel, industrial products, and hotels performed poorly. The study verifies the existence of underpricing in a number of instances, although results were quite different across sectors. These findings suggest paying close attention to thorough consideration of company fundamentals and market environments prior to investment. The findings produced will help investors in making sound decisions and give regulators evidence to make better policies promoting efficiency and transparency in the Indian primary market.},
        keywords = {IPOs, Performance analysis, Volatility, Return, NSE, BSE.},
        month = {September},
        }