Catalyst analysis
Event study workbench
Measure returns around CPI releases, Fed decisions, earnings, or custom dates while preserving clean pre/post windows and caveats.
Window controlledGuided intake
Start with a decision, not a blank prompt
The workshop guide uses these intake points to ask sharper questions before producing structured output.
Goal
What decision should event study support?
Inputs
Which dataset, ticker, scenario, or assumption set should be trusted?
Constraint
What risk limit, horizon, or caveat should shape the output?
Output contract
Every useful answer becomes a card stack
Recommendation
What the workflow suggests and why it is not automatic advice.
Evidence
The metrics, chart movement, or model signal supporting the view.
Caveat
The assumption, missing data, or model risk that could change the result.
Next step
The most useful follow-up action before exporting or sharing.
Event window
+/-5d
Default review horizon around each catalyst
Avg reaction
+1.8%
Demo cumulative abnormal return
Hit rate
62%
Share of events matching expected direction
Professional review checklist
- OKAvoid overlapping windows unless the methodology explicitly handles them.
- OKReport sample size prominently.
- OKInspect both average and median reactions to avoid outlier bias.
Empty state behavior
Add event dates to produce a pre/post return curve and summary table.
Correlation is not causation. Results are model-dependent and assume regime stability.
Placeholders only. No payment gate.