Market Impact Timing Risk Modeling
objective
Model market impact and timing risk to optimize execution horizon and urgency settings.
workflow
- •define execution horizon candidates and risk aversion parameters.
- •estimate temporary and permanent impact components from trade data.
- •estimate timing-risk distribution across horizon alternatives.
- •compute efficient cost-risk frontier for strategy selection.
- •deploy chosen horizon only after out-of-sample stability checks.
required diagnostics
- •impact coefficient stability by venue and volatility regime.
- •timing-risk tail behavior across horizon choices.
- •cost-risk frontier drift over rolling windows.
- •forecast error between expected and realized implementation shortfall.
- •capacity sensitivity under order-size scaling.
risk controls
- •enforce horizon limits for high-volatility sessions.
- •enforce recalibration cadence for impact parameters.
- •enforce fallback urgency profile on model instability.
outputs
- •run
python scripts/market_impact_timing_risk_modeling_diagnostics.py input.csv --output diagnostics.jsonand keep the json artifact. - •write an implementation memo using
references/market-impact-timing-risk-modeling-playbook.mdwith assumptions, tests, limits, and rollout plan.
resources
- •use
scripts/market_impact_timing_risk_modeling_diagnostics.pyfor deterministic diagnostics. - •use
references/market-impact-timing-risk-modeling-playbook.mdfor the domain checklist and delivery structure.