Subscription & Allotment
HK IPO subscription mechanics and allocation results: oversubscription, hit rates, clawback, IPO windows, and offer-period length.
Each dot represents one IPO. Higher oversubscription does not guarantee better first-day returns.
Monthly IPO activity and average first-day returns. Helps identify hot vs cold IPO windows.
Box plot showing median, quartile, and range of subscription multiples by industry.
Each bubble is an IPO. X = oversubscription ratio (log), Y = market cap (log), bubble size = first-day return magnitude. Green = positive, red = negative. Scroll to zoom.
Industries where hot IPOs (>100x oversubscription) tend to perform differently from cold IPOs (<1x).
| # | Industry | Hot (>100x) | Hot Avg Return | Cold (<1x) | Cold Avg Return |
|---|---|---|---|---|---|
| 1 | 生物医药 | 35 | 83.2% | 0 | — |
| 2 | 半导体 | 25 | 74.73% | 0 | — |
| 3 | 工业制造 | 23 | 21.68% | 0 | — |
| 4 | 消费零售 | 20 | 63.43% | 0 | — |
| 5 | 人工智能 | 16 | 152.57% | 0 | — |
| 6 | 机器人科技 | 13 | 60.84% | 0 | — |
| 7 | 医疗健康 | 11 | 78.3% | 0 | — |
| 8 | 新能源 | 8 | 103.88% | 0 | — |
| 9 | 汽车及出行 | 8 | 49.1% | 0 | — |
| 10 | 矿业资源 | 8 | 84.8% | 0 | — |
| 11 | 企业服务/软件 | 6 | 28.54% | 0 | — |
| 12 | 医疗器械 | 4 | 26.88% | 0 | — |
How often does the public offer clawback trigger for each mechanism type, and does it correlate with first-day performance? Data based on HKEX allotment announcements.
| Mechanism | Total IPOs | Triggered | Trigger Rate | Avg Oversub | Avg Return (Triggered) | Avg Return (Non-Triggered) |
|---|---|---|---|---|---|---|
| 机制B | 170 | 42 (discretionary) | N/A (no clawback) | 1787.9x | 50.1% | 38.6% |
| 机制A(旧) | 41 | 41 | 100.0% | 573.4x | 7.3% | — |
| 18C特专科技 | 25 | 25 | 100.0% | 4022.1x | 62.4% | — |
| 机制A | 1 | 1 | 100.0% | — | -5.4% | — |
Overall: 67/67 IPOs trigger clawback (100.0% trigger rate).
Analyzing characteristics of IPOs that fell below offer price on day one. Data shows moderate oversubscription (15-50x) has the HIGHEST loss rate (47.5%), while very high (>500x) has the lowest (14.6%). This contradicts the intuition that hotter IPOs are safer.
Risk alert: 15-50x oversubscription has highest loss rate (47.5%). IPOs in this range deserve more careful evaluation.
The most critical risk indicator. The 15-50x range has the highest loss rate — moderately hot IPOs often price too aggressively, leaving less upside for first-day trading.
| Subscription Range | IPO Count | Loss Count | Loss Rate |
|---|---|---|---|
| <1x (Under-subscribed) | 3 | 1 | 33.3% |
| 1x-15x (Moderate) | 55 | 21 | 38.2% |
| 15x-50x (Hot) | 40 | 19 | 47.5% |
| 50x-100x (Very Hot) | 20 | 9 | 45.0% |
| 100x-500x (Extremely Hot) | 64 | 18 | 28.1% |
| >500x (Mega Hot) | 123 | 18 | 14.6% |
| Mechanism | IPO Count | Loss Count | Loss Rate |
|---|---|---|---|
| 未分类 | 1396 | 449 | 32.2% |
| 机制B | 168 | 37 | 22.0% |
| 未知 | 168 | 56 | 33.3% |
| 机制A(旧) | 41 | 16 | 39.0% |
| 18C特专科技 | 25 | 7 | 28.0% |
The 15 IPOs with the worst first-day returns. Use as extreme risk case reference.
| # | Stock | First-Day % | Avg Oversub | Mechanism |
|---|---|---|---|---|
| 1 | 華健未來－Ｂ (06132) | -56.89% | 2007.6x | 机制B |
| 2 | 大人国际 (01957) | -56.88% | — | 未分类 |
| 3 | 七牛智能 (02567) | -56.73% | 19.9x | 机制A(旧) |
| 4 | 多点数智 (02586) | -54.32% | 1.9x | 机制A(旧) |
| 5 | 马可数字科技 (01942) | -50.0% | — | 未分类 |
| 6 | 明基医院 (02581) | -49.46% | 6.3x | 机制B |
| 7 | 銅師傅 (00664) | -49.17% | 59.5x | 机制B |
| 8 | 海螺材料科技 (02560) | -47.67% | 25.8x | 机制A(旧) |
| 9 | Hygieia Group Limited (01650) | -46.4% | — | 未分类 |
| 10 | 中赣通信 (02545) | -46.4% | 196.0x | 机制A(旧) |
| 11 | 翰思艾泰－Ｂ (03378) | -46.25% | 3074.1x | 机制B |
| 12 | 龍豐集團 (02290) | -45.75% | 664.9x | 机制B |
| 13 | 創陛控股有限公司 (02680) | -45.56% | — | 未分类 |
| 14 | 方舟健客 (06086) | -44.62% | 16.6x | 未知 |
| 15 | 淮北绿金股份 (02450) | -44.5% | — | 未知 |
Combined share of top 10 allottees. High concentration = institutional control. Data shows medium concentration (50-75%) yields the best first-day returns.
Key finding: Concentration and first-day returns show an inverted U-shape. Medium concentration (50-75%) performs best — moderate institutional backing provides confidence without excessive control by a few players.
| Concentration | IPOs | Avg Return | Win Rate | Avg Oversub |
|---|---|---|---|---|
| Low (<50%) | 7 | -18.67% | 28.6% | 1039.7x |
| Moderate-Low (50-65%) | 4 | +83.9% | 100.0% | 168.4x |
| Moderate-High (65-75%) | 7 | +39.93% | 100.0% | 1309.8x |
| High (>75%) | 25 | +57.93% | 68.0% | 1437.4x |
Does a shorter offer period signal stronger demand? Analyzing the relationship between offer period length, first-day returns, and oversubscription ratios.
| Offer Period | IPO Count | Avg Return | Median Return | Win Rate | Std Dev | Avg Oversub |
|---|---|---|---|---|---|---|
| Short (1-3 days) | 110 | 53.17% | 10.11% | 66.4% | 93.67% | 2078.4x |
| Standard (4 days) | 15 | 31.9% | 5.06% | 73.3% | 54.99% | 1815.4x |
| Extended (5-6 days) | 198 | 45.34% | 23.57% | 73.2% | 75.99% | 1923.7x |
| Ultra-long (7+ days) | 19 | 9.07% | 0.77% | 68.4% | 36.86% | 2342.9x |
Offer period is measured in calendar days from offer_period_start to offer_period_end per the prospectus. Standard HK IPO offer windows are 3-6 days; some extend due to holidays or market arrangements. Shorter windows typically indicate strong bookbuilding demand and underwriter confidence. Past patterns do not guarantee future outcomes.
This page focuses on HK IPO subscription and allocation mechanics: oversubscription vs first-day return, hit rates by industry, Pool A/B mechanism distribution, clawback terms, and how IPO windows and offer-period length affect outcomes. Data comes from allotment announcements and prospectuses.
