Analysis · Analysis
Why economic forecasts keep missing, and how to use them anyway
A forecast is a conditional statement dressed as a prediction. Read the conditions and it becomes useful again.
This is analysis. It contains the interpretation of the Wallcrest Analysis Desk.
The short answer
- Point forecasts hide fan charts with very wide bands.
- Turning points are the hardest thing for any model to see coming.
- The assumptions are more informative than the headline number.
Institutions publish central projections because decisions require a number. Behind almost every one is a distribution, and the published uncertainty bands are wide enough that the central path is rarely the outcome.
Where models break
Macro models extrapolate relationships estimated on past data. They handle continuation well and discontinuity badly. Recessions, policy regime changes and supply shocks are precisely the events that break estimated relationships, which is why they are systematically under-forecast.
Read the assumptions
- The interest rate path assumed — often market pricing, not the forecaster's view.
- Energy and commodity price assumptions, usually frozen at a recent average.
- Fiscal policy assumed as legislated, ignoring likely changes.
- Population and participation assumptions, which drive medium-term output.
Consensus is not accuracy
Forecasters cluster, because being wrong alone is professionally more costly than being wrong together. A tight consensus therefore indicates agreement, not confidence, and the largest market moves occur when that consensus is displaced.
Sources
- World Economic Outlook — International Monetary Fund
- Economic projections — Federal Reserve
Spotted an error? Tell our corrections desk.