Financial Metrics & Modelling
Scenario Analysis for Shipping Loans
Summary
Scenario analysis evaluates internally consistent combinations of freight, asset, operating and financial assumptions under distinct economic states.
Why this matters in ship finance
It improves on single-variable shocks when freight declines coincide with weaker collateral values and difficult refinancing.
The concept
A scenario specifies a connected narrative for rates, utilisation, bunker costs, interest, vessel values, counterparty risk and policy exposure. Probabilities need not be assigned if evidence does not justify them.
How it is used in practice
Build base, cyclical downturn, prolonged distress and regulatory transition cases, compare CADS, DSCR, LTV, liquidity and refinancing headroom over the full loan schedule.
Illustrative worked example
Illustration: base-case DSCR 1.50x and LTV 55%; downturn-case DSCR 0.90x and LTV 75%. Both values are scenario assumptions, not market statistics.
Practical issues
Do not mix inconsistent peak and trough assumptions without a stated rationale. Scenario labels are not statistical confidence levels and should not conceal model uncertainty.
How ShipFinance.ai uses this concept
ShipFinance.ai can structure this topic around a transparent, auditable record of formula inputs, time basis, scenario assumptions and debt/equity cash-flow reconciliation. 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
- Scenario analysis evaluates internally consistent combinations of freight, asset, operating and financial assumptions under distinct economic states.
- Build base, cyclical downturn, prolonged distress and regulatory transition cases, compare CADS, DSCR, LTV, liquidity and refinancing headroom over the full loan schedule.
- Do not mix inconsistent peak and trough assumptions without a stated rationale.