Direct answer
Impact levels are usually released as part of an economic calendar entry for a scheduled macroeconomic event. They are then revised later by the calendar or analytics provider when they update their methodology or when evidence suggests the event’s market impact differs from earlier expectations. In other words, “released” means the level appears alongside the forecasted event on the calendar; “revised” means the same event’s assigned importance can change when the provider recalibrates.
Mechanism and definition
An impact level is a label that attempts to rank how strongly a scheduled economic release tends to move prices (often exchange rates) relative to other events. Many calendars place events into tiers (for example, high/medium/low), but the exact scale and naming can vary by provider.
How release timing typically works
- The event itself is scheduled by an external reference (for example, an official agency calendar).
- A provider maps that event to an impact level and publishes it together with the event time, currency/region tag, and description.
- If the provider supports it, the impact level is visible before the actual release, so the level is available when users plan around upcoming events.
How revisions typically happen Revisions occur when a provider updates its mapping between events and their historical or observed market effects. This can be driven by:
- Method changes (for example, a new way to measure “impact”).
- Updated historical datasets (for example, using a longer time window).
- Changes in the event’s relevance over time.
Because there is no single universal standard, two providers can show different impact levels for the same event.
Evidence or example (with clear assumptions)
Assume a provider categorizes an inflation release as “high” because, historically, announcements near that schedule have coincided with larger exchange-rate moves than many other releases. Under this assumption, the impact level is released before the event time as part of the calendar entry.
Now assume that over time the provider computes a new “impact score” using updated market observations and finds that the typical reaction has become smaller (perhaps due to structural changes, policy regime shifts, or changes in how investors interpret the data). In that scenario, the provider may revise the impact level downward during a later refresh cycle.
A key point is that such updates are about the provider’s assessment of typical importance, not a guarantee about what will happen next time.
Limitations and risks
- No fixed rule across providers: Impact levels are defined by the provider’s methodology, so the same event can carry different tiers.
- Expected importance is not the outcome: Even when an event is labeled “high,” actual price movement depends on market positioning, interest-rate expectations, liquidity, execution conditions, and the size of the deviation between the release and expectations.
- Historical patterns may shift: Past relationships do not ensure future reactions.
- Possible failure modes: A provider’s revision could lag behind real changes, or the methodology could overfit a past period, making the tier less informative.
- Local context and jurisdiction differences: Interpretation can vary by currency, market structure, and institutional behavior.
Verification or next question
If you want to verify how a specific platform handles release and revisions, check whether it publishes any description of its methodology or update policy (for example, how frequently it refreshes tiers, and what data it uses). You can also compare how multiple providers tier the same scheduled events as a practical way to gauge consistency.
A useful next question is: which economic surprises (differences between released data and expectations) have historically mattered for your target currency, and whether impact levels correlate with those surprises on the same calendar you use.