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Time series and forecasting · insight-0203

Widen or label scenario forecasts because they exclude uncertainty in the assumed drivers

Evidence type
documented fact
Difficulty
medium
Roles
Data scientist, Data analyst
Industries
aviation, energy, finance

Summary: situation, action, reason, boundary

  1. Situation

    Finance asks for next quarter's demand under three fuel-price scenarios, each with an 80% interval.

  2. Action

    Label scenario intervals as conditional on the assumed driver path. Show the spread across scenarios next to the within-scenario interval, and add a driver-uncertainty band when you can forecast the driver.

  3. Reason

    Scenario-based prediction intervals do not include the uncertainty in the future values of the predictors, so they understate total uncertainty.

  4. Boundary

    Planning, budgeting, stress tests, capacity what-ifs with assumed macro or price paths.

Symptom or risk

Each scenario interval looks narrow and decision makers read it as the total uncertainty, although the driver itself is uncertain.

Exceptions

When the driver is a decision you control, conditional intervals are the right object.

Trade-offs

Adding driver uncertainty makes ranges wider and harder to sell, but it prevents false precision.

Pitfalls

Averaging the three scenarios into one 'expected' forecast without probabilities assigned to them.

Example

Hypothetical: scenario intervals of plus or minus 4% each, while the scenarios themselves differ by 12%.

Lessons and concepts

Claims and their sources