Assessing Post-Listing Stock Performance of Selected Indian IPO Companies Using Integrated Technical Analysis: An Empirical Study

Authors

Dr.N. Vijaya Jyothi

Associate Professor, Department of Management Studies, Gayatri Vidya Parishad College for Degree and PG Rushikonda, Visakhapatnam, A.P (India)

Dr.M. Satyavathi

Assistant Professor, Department of Management Studies, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, A.P (India)

Ms. Kommu Jyothsna

MBA-Finance Final Year, Department of Management Studies, Gayatri Vidya Parishad College for Degree and PG Courses (A Rushikonda, Visakhapatnam, A.P (India)

Article Information

DOI: 10.51244/IJRSI.2026.1306000483

Subject Category: Management

Volume/Issue: 13/6 | Page No: 6498-6517

Publication Timeline

Submitted: 2026-07-04

Accepted: 2026-07-09

Published: 2026-07-19

Abstract

The increasing number of Initial Public Offerings (IPOs) and growing participation of retail investors in the Indian capital market have intensified the need to evaluate the post-listing performance of IPO stocks. Although previous studies have primarily focused on IPO pricing, under-pricing, and listing-day returns, limited empirical research has examined post-listing performance using an integrated technical analysis approach. Accordingly, the present study evaluates the post-listing stock performance of selected Indian IPO companies using multiple technical indicators. The study adopts a descriptive and analytical research design based on secondary data. Five IPO companies listed between 2018 and 2024 were selected through purposive sampling, and their stock performance was analysed over a common observation period from 1 April 2024 to 31 March 2025. Daily historical stock price data were collected from the National Stock Exchange (NSE), Bombay Stock Exchange (BSE), Yahoo Finance, Trading View, and Moneycontrol. The analysis employed 20-day and 50-day Simple Moving Averages (SMA), the 14-day Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD 12,26,9), and candlestick chart pattern analysis to evaluate market trends, momentum, and trading signals. The findings reveal that the integrated application of SMA, RSI, MACD, and candlestick chart patterns provides a more comprehensive assessment of post-listing stock performance than the use of any single technical indicator. IRCTC exhibited the strongest bullish trend, SBI Cards showed moderate positive momentum, LIC demonstrated largely sideways movement, whereas Nykaa and Paytm remained under sustained bearish pressure. The study concludes that integrated technical analysis serves as a practical decision-support framework for evaluating IPO stocks in the secondary market and offers useful implications for investors, traders, portfolio managers, financial analysts, and researchers.

Keywords

Initial Public Offering (IPO), Technical Analysis, Post-Listing Performance, Simple Moving Average (SMA)

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References

1. Achelis, S. B. (2001). Technical analysis from A to Z (2nd ed.). McGraw-Hill. [Google Scholar] [Crossref]

2. Appel, G. (1979). The moving average convergence-divergence trading method. Signalert Corporation. [Google Scholar] [Crossref]

3. Ahuja, S., Kumar, A., & Bisht, P. (2024). A review of IPO pricing and performance: Evidence from the Indian capital market. Journal of Risk and Financial Management, 17(4), 1–22. https://doi.org/10.3390/jrfm17040123 [Google Scholar] [Crossref]

4. Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47(5), 1731–1764. https://doi.org/10.1111/j.1540-6261.1992.tb04681.x [Google Scholar] [Crossref]

5. Chatterjee, S., Bhattacharjee, D., & Chakraborty, M. (2024). A systematic literature review of the Indian initial public offering market. Journal of Risk and Financial Management, 17(6), 251. https://doi.org/10.3390/jrfm17060251 [Google Scholar] [Crossref]

6. Das, S. (2025). Return and volatility behaviour of Indian start-up IPOs under bull and bear market regimes. Journal of Financial Economic Policy. Advance online publication. [Google Scholar] [Crossref]

7. Edwards, R. D., & Magee, J. (1948). Technical analysis of stock trends. John Magee Inc. [Google Scholar] [Crossref]

8. Kothari, C. R., & Garg, G. (2019). Research methodology: Methods and techniques (4th ed.). New Age International Publishers. [Google Scholar] [Crossref]

9. Marshall, B. R., Cahan, R. H., & Cahan, J. M. (2008). Can commodity futures be profitably traded with quantitative market timing strategies? Journal of Banking & Finance, 32(9), 1810–1819. https://doi.org/10.1016/j.jbankfin.2007.12.009 [Google Scholar] [Crossref]

10. Mehmood, A., Ahmed, F., Khan, S., & Ali, M. (2023). A bibliometric review of global initial public offering research. Journal of Risk and Financial Management, 16(11), 470. https://doi.org/10.3390/jrfm16110470 [Google Scholar] [Crossref]

11. Murphy, J. J. (1999). Technical analysis of the financial markets: A comprehensive guide to trading methods and applications. New York Institute of Finance. [Google Scholar] [Crossref]

12. Park, C. H., & Irwin, S. H. (2007). What do we know about the profitability of technical analysis? Journal of Economic Surveys, 21(4), 786–826. https://doi.org/10.1111/j.1467-6419.2007.00519.x [Google Scholar] [Crossref]

13. Pring, M. J. (2014). Technical analysis explained: The successful investor's guide to spotting investment trends and turning points (5th ed.). McGraw-Hill Education. [Google Scholar] [Crossref]

14. Seepani, S., & Murthy, T. V. R. (2023). A structural review of initial public offerings in India. International Journal of Research in Commerce and Management Studies, 5(4), 35–49. [Google Scholar] [Crossref]

15. Wilder, J. W., Jr. (1978). New concepts in technical trading systems. Trend Research. [Google Scholar] [Crossref]

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