What is data coverage?

Data coverage is the share of applicable rating inputs that are already available at the current stage.

Plain meaning

Available information changes by stage. Early subscription may only have prospectus and margin data; grey market return and first-day outcomes arrive later. Items that do not apply, such as no greenshoe, are not treated as missing. Coverage is not accuracy.

Why it matters

More complete inputs give more dimensions to read. Low coverage does not make an output useless, but it should be read more conservatively.

How to read it

Read it with IPO stage and missing-data notices. High coverage does not guarantee prediction accuracy.

How it appears here

IPO scoring shows coverage as high, medium or low to separate early estimates from judgments with more market feedback.

Common mistakes

Comparing scores across stages without checking missing data.
Assuming high coverage guarantees prediction accuracy.
Treating a not-applicable item, such as no greenshoe, as a collection failure.