Sample overlap and effective number of events
Do seemingly numerous tests actually repeat the same observations?
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Sample JSON
Specification JSON
Sample as of
0700.HK Tencent Holdings | Hang Seng Index | 2025-10-16 – 2026-10-16 | HKD
- Highest item: Sample E
- 46 times
- Lowest item: Sample F
- 6 times
- Average
- 23 times
- Number of items
- 8 items
Sample overlap and effective number of events
Independent events (count) (Table)
Benchmark / after-cost return (%)
Benchmark / after-cost return (%) (Bar)
Event detail and data date
Share of Independent events (count) (Donut)
Sample data rows
| Symbol/event/scenario | Independent events (count) | Benchmark / after-cost return (%) | Data date (sample) |
|---|---|---|---|
| Sample A | 33 | 4.44 | 2026-10-16 |
| Sample B | 12 | 9.72 | 2026-10-16 |
| Sample C | 14 | 6.26 | 2026-10-16 |
| Sample D | 18 | 9.68 | 2026-10-16 |
| Sample E | 46 | 3.21 | 2026-10-16 |
| Sample F | 6 | 6.51 | 2026-10-16 |
| Sample G | 12 | 1.05 | 2026-10-16 |
| Sample H | 43 | 3.4 | 2026-10-16 |