Vessel Valuation & Asset Risk
Valuation Uncertainty and Confidence Ranges
Summary
A vessel valuation should communicate the uncertainty attributable to sparse data, model specification, transaction timing and market regime.
Why this matters in ship finance
A narrow confidence range can be particularly misleading for infrequently traded or technically unusual ships.
The concept
Statistical prediction intervals describe uncertainty in possible observed sale outcomes under a model; confidence intervals for a mean estimate answer a different question. Broker ranges represent expert judgement rather than frequentist confidence unless calibrated.
How it is used in practice
Report valuation date, method, sample size, dispersion, error history and plausible range. Test robustness against alternative comparables, time windows and non-linear cycle movements.
Practical issues
Avoid attaching a 95% label to an uncalibrated subjective range. Different sources may share correlated errors and should not be treated as independent observations.
How ShipFinance.ai uses this concept
ShipFinance.ai can structure this topic around a transparent, auditable record of valuation evidence, assumptions, uncertainty bands and loan-to-value impacts. A useful decision output is a base case beside a clearly labelled alternative case, with input sources, effective dates and the assumptions responsible for any change in financing capacity.
Key takeaways
- A vessel valuation should communicate the uncertainty attributable to sparse data, model specification, transaction timing and market regime.
- Report valuation date, method, sample size, dispersion, error history and plausible range.
- Avoid attaching a 95% label to an uncalibrated subjective range.