Decoding the Indian IPO Market
Every IPO cycle in India comes with the same familiar excitement. A company opens for subscription, WhatsApp groups start discussing GMP, retail investors rush to apply through every Demat account available, and the biggest question becomes: will this list at a premium?
This project began with that very practical question, but I wanted to answer it with data rather than anecdotes:
Is investing in Indian IPOs actually profitable, and which pre-listing signals best predict IPO success?
The result is a quantitative study of Indian IPOs across mainboard, SME, and GMP-era datasets, covering listing-day gains, oversubscription, grey market premium, market phase, holding periods, long-run performance, and machine learning based screening. The analysis uses web-scraped IPO data, API-collected GMP data, Yahoo Finance enrichment, and statistical tests designed for heavily skewed financial data.






