Days from listing to Stock Connect inclusion vs oversubscription. Fast-track (≤20 days) flagged.
Board size, director-type mix and committee coverage for the full market.
Average first-day return by independent-director share bucket.
Top directors by number of concurrent boards (interlocking directorates).
Mean absolute error (MAE) of the cibo hit-rate model across key targets.
Distribution of A-share premium over H-share at IPO, per stock.
Multi-factor correlation analysis: which factors are most predictive of first-day IPO returns? Pearson correlation coefficient (r) measures linear relationship strength. r > 0 = positive predictor, r < 0 = negative predictor. |r| > 0.3 = strong, |r| > 0.1 = moderate.
| # | Factor | Correlation (r) | Strength | Direction | Samples |
|---|---|---|---|---|---|
| 1 | Grey Market Premium | 0.7907 | Strong | Positive | 1347 |
| 2 | Oversubscription Ratio | 0.4509 | Strong | Positive | 529 |
| 3 | Application Count | 0.3802 | Strong | Positive | 585 |
| 4 | Public Allocation Ratio | -0.1593 | Moderate | Negative | 357 |
| 5 | Cornerstone Presence | -0.1501 | Moderate | Negative | 2108 |
| 6 | Syndicate Size | -0.1076 | Moderate | Negative | 2096 |
| 7 | Greenshoe Presence | -0.0131 | Weak | Negative | 2108 |
Correlation does not equal causation. Grey market premium is the strongest signal because it reflects near-real-time market pricing. Oversubscription and application count are sentiment proxies. Cornerstone presence is negatively correlated — cornerstone-backed IPOs have lower average returns (likely because they are more mature, larger, with limited upside). Greenshoe presence shows near-zero correlation with returns (r≈0) — confirming the D22 finding that the apparent greenshoe premium is entirely a size effect. Past patterns do not guarantee future outcomes.
This page covers Hong Kong market governance, Stock Connect expectations, and model reliability: board structure, independent-director share vs first-day return, interlocking directorate networks, listing-to-inclusion intervals, prediction-model error, and A/H premium. Data comes from director rosters, inclusion records, and prediction backtests.

