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Downside Case

Glossary Term • Beginner • 3 min read

Audience
Lenders • Model Developers • Auditors
Last Reviewed
July 2026
Updated
Version 1.0

Executive Summary

The downside case in a financial model is a scenario constructed using pessimistic but plausible assumptions to assess the model's projected performance under adverse conditions. It is defined relative to the base case: each assumption in the downside case is set at a level less favourable than the base case, representing conditions that could realistically occur but that the developer does not expect to be the most likely outcome. The downside case is used by lenders and investors to assess whether a project or investment can withstand a realistic adverse scenario while continuing to service debt and meet minimum covenant requirements.

Key Takeaways

  • The downside case is a modelled scenario in which key assumptions are set at values less favourable than those used in the base case, representing a plausible adverse outcome rather than the most likely outcome.
  • The downside case is constructed by revising specific base case assumptions to less favourable values.
  • Lenders use the downside case to assess whether the DSCR will remain above the covenant minimum under adverse conditions.
  • The downside case is a scenario (a defined set of assumptions for all inputs simultaneously).

Definition

The downside case is a modelled scenario in which key assumptions are set at values less favourable than those used in the base case, representing a plausible adverse outcome rather than the most likely outcome. The downside case is used to test whether a project, investment, or business can service its obligations and meet minimum performance standards under conditions that are worse than expected.

The downside case sits below the base case in the scenario hierarchy and above the stress case, which uses more severe assumptions:

Scenario Purpose Assumption Level
Upside Best plausible outcome Optimistic
Base Case Most likely outcome Central estimate
Downside Adverse but plausible Pessimistic
Stress / Lender's Case Severe scenario Very conservative

Construction of the Downside Case

The downside case is constructed by revising specific base case assumptions to less favourable values. Common downside adjustments include:

  • Revenue: lower volume, lower price, or delayed ramp-up relative to base case
  • Costs: higher operating costs, construction cost overrun, or maintenance cost inflation
  • Financing: higher interest rate, wider margin, or earlier refinancing
  • Timing: delayed completion, longer ramp-up period

The magnitude of downside adjustments should be justified by reference to historical precedent, market data, or defined stress parameters agreed with the lender or investor. An arbitrary downside that cannot be justified by reference to a plausible scenario does not provide meaningful risk information.


Downside Case in Lender Analysis

Lenders use the downside case to assess whether the DSCR will remain above the covenant minimum under adverse conditions. A project that achieves a DSCR of 1.35x in the base case but falls to 0.95x in a plausible downside is a more significant credit risk than a project that falls to 1.20x in the same downside.

The lender may define their own downside scenario (the "lender's case" or "bank case") using their own stress parameters rather than accepting the borrower's downside. The lender's case is typically more conservative than the borrower's downside.


Relationship to Sensitivity Analysis

The downside case is a scenario (a defined set of assumptions for all inputs simultaneously). Sensitivity analysis varies one input at a time while keeping all others at base case values. Both are required for comprehensive risk assessment: sensitivity analysis identifies which individual inputs matter most; the downside case tests how the model performs when multiple inputs are simultaneously adverse.


Common Errors

  • Constructing a downside case by applying uniform percentage reductions to all base case assumptions without assessing which assumptions are correlated
  • Using a downside case that is merely a less optimistic version of the base case rather than a genuinely adverse scenario
  • Failing to test covenant compliance in the downside case (not just the base case)
  • Using sensitivity table outputs as a proxy for a properly constructed downside scenario

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Prerequisites

  • Base Case — the central scenario relative to which the downside is defined
  • DSCR — the coverage metric tested against its minimum in the downside case
  • IRR — the return metric compared between base case and downside
  • Sensitivity Analysis — the complementary analytical approach that varies one input at a time

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