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How Accurate is the IPO Grey Market Premium? Evidence from 35 Indian IPOs (Zenodo (CERN European Organization for Nuclear Research))

Research paperZenodo (CERN European Organization for Nuclear Research)October 20263 pages5 min readNilay KabariyaOriginal source
Key number
74%
Directional accuracy of GMP p.1

Summary

  • The study analyzed 35 mainboard IPOs listed between 3 September and 8 October 2026 to evaluate the forecasting value of the grey market premium (GMP).p.1
  • GMP predicted the direction of listing-day performance correctly in 74% of cases and demonstrated a correlation of r = 0.83 with actual gains.p.1
  • The mean absolute error of GMP forecasts was 12.5 percentage points, with a median absolute error of 9.6 percentage points.p.1
  • Errors were balanced between over-estimation and under-estimation, with 18 listings rated too optimistic and 17 rated too pessimistic.p.1

Key insights

  1. GMP correctly predicted the direction of listing gains in 74% of the 35 analyzed Indian mainboard IPOs.p.1
  2. The correlation between GMP-implied gain and actual listing gain was r = 0.83, with an R² of 0.68.p.2
  3. Forecasting errors were symmetric across the sample, comprising 18 over-estimations and 17 under-estimations.p.1
  4. High-GMP IPOs listed even higher than implied by quotes, yielding an OLS slope of 1.39 and intercept of −5.3 percentage points.p.2
  5. All 9 IPO listings that closed below their issue price occurred within the sub-10% GMP group.p.2

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