STEP 01
Map the house outlook
List the economic assumptions that materially affect portfolio exposures and valuation models.
A CONSENSUS USE CASE
Know where your house view stands apart.
Investment decisions often rest on a view of growth, inflation, rates or currencies. An external benchmark drawn from professional private sector forecasters helps research teams distinguish conviction from consensus and identify assumptions worth revisiting.
THE QUESTION
“Where does our economic outlook differ from the wider professional view?”
Investment TeamsCONSENSUS ECONOMICS
01 / THE SITUATION
Here’s the decision.
The investment committee
An asset-allocation team is refreshing its quarterly macro assumptions.
The house forecast calls for faster disinflation than external economists generally anticipate. Before making portfolio decisions, the team wants to know how unusual that view is and whether the consensus has been moving towards or away from it.
THE OBJECTIVE
Create an evidence-based macro assumptions pack that separates the house forecast from external expectations.
02 / THE WORKFLOWFrom raw question
From raw question
to useful evidence.
Identify where the house macro view sits relative to professional forecasts, then test the portfolio assumptions that depend on that difference.
STEP 02
Benchmark against professional views
Compare the house view with consensus levels and forecast ranges for relevant markets.
STEP 03
Examine revisions and dispersion
Track changes across surveys and see whether forecasters are converging or diverging.
STEP 04
Prepare the debate
Show the strongest disagreements, alternative scenarios and questions for the investment committee.
03 / A PRACTICAL EXAMPLEA worked example.
A worked example.
The numbers in context.
Where is the investment house view genuinely different?
Ahead of an investment committee, the research team compares house assumptions with the external baseline for one country and consistent forecast horizon.
WORKING EXAMPLEIllustrative example
Swipe sideways to view the complete example table
| Macro driver | House forecast | Professional consensus |
|---|---|---|
| GDP growth | 2.17% | 1.64% |
| Inflation | 2.68% | 3.12% |
| Policy rate | 3.37% | 3.63% |
THE PRACTICAL DELIVERABLE
Committee comparison sheet with forecast gaps, scenario implications, survey date and owner of each house assumption.
SUITABLE STARTING POINTExplore investor forecast data
Professional benchmarks, current and historical survey files, plus access options for research teams.
GO FURTHER / APPLY THE FULL DISTRIBUTION
The range behind
The range behind
the average.
Move from an investment-house forecast gap to an explicit asset-allocation discussion, using the whole distribution to frame downside and upside sensitivities.
FORECAST DISTRIBUTIONReal GDP growth, matching country and forecast year
Consensus mean1.64%
Low1.08%
High2.53%
Standard deviation0.37 pp
BEHIND THE AVERAGE
Selected forecaster views: 1.39% and 2.04%. Check the direction of individual revisions before arguing that the external baseline is moving toward the house view.
LOW · 1.08%HIGH · 2.53%
Consensus mean Selected individual forecasts
A PRACTICAL SCENARIO OR RESEARCH TEST
Illustrative exampleTranslate macro divergence into portfolio sensitivities
Swipe sideways to review the scenario table
| Committee test | Growth input | What the portfolio team tests |
|---|---|---|
| External base case | 1.64% | Revalue positions with the professional mean growth assumption. |
| Growth downside sensitivity | 1.08% | Test earnings, credit exposure and cyclical allocations. |
| Growth upside sensitivity | 2.53% | Assess upside participation and sector rotation sensitivity. |
Use the observed range as a sensitivity guide, not forecast probabilities. Interest rates, inflation, currencies and GDP must form a coherent model scenario before portfolio results are interpreted.
OTHER APPLICATIONS FOR THIS AUDIENCE
Further applications.
Investment committee challenge
Identify where the house view sits outside the consensus range.
USE THE DATA
Report the gap against mean, high, low and SD; show the valuation sensitivity of each disputed assumption.
OUTPUT
A defendable investment committee macro challenge deck.
Asset-allocation regime monitor
Track whether economic expectations are converging or fragmenting.
USE THE DATA
Monitor successive survey means and changes in forecaster dispersion across GDP, inflation and rates.
OUTPUT
An assumptions watchlist with review triggers.
04 / WHAT YOU TAKE AWAYA practical result.
A practical result.
Ready to review.
Build an output that can be explained, challenged and updated as forecasts change.
How the consensus is calculatedEXAMPLE DELIVERABLE↗
Illustrative investment deliverableA house-view divergence dashboard
A decision-support pack highlighting where internal expectations differ from the surveyed professional baseline.
WHAT IT CONTAINS
Adapt the example to your own data and decision process.✓House view versus consensus table
✓Revisions and dispersion timeline
✓Scenario questions for investment committee
05 / THE CONSENSUS ADVANTAGEWhy the data
Why the data
matter here.
Match the forecast inputs to the decision. The average, the distribution and the historical record serve different purposes.
RELEVANT FORECAST INPUTS
01
GDP, inflation and interest-rate forecasts
02
Foreign-exchange and commodity expectations
03
Individual forecaster ranges and revisions
WHY CONSENSUS ECONOMICS
See conviction in context.
A house forecast may differ from the mean without being outside the professional range. Individual estimates and standard deviation show the degree of disagreement; revisions tell the committee whether the outside view is moving closer.
1,000+professional forecasters1989first survey