“Diversification at the first exposure prevents system-wide transmission.”
Not quite.Common dependencies, funding needs, and correlated responses can reconnect exposures that look separate initially.
Risk
Risk Transmission
The movement of a shock through contracts, operational dependencies and balance sheets.
Mental model
A shock matters through the chain of dependencies that carries it from one exposure to another.
A risk is often transferred rather than removed. A customer commitment becomes provider revenue, asset cash flow and lender exposure.
Buffers can absorb a shock, while leverage, concentration and common dependencies can pass it to the next participant.
Explore the mechanism
Through which contracts, dependencies, and reactions does an initial shock become a wider system loss?
Follow one shock through a small system. Sensitivity scales incoming pressure; buffers absorb it; threshold effects and feedback can amplify it.
Origin55initial disturbance→
Provider38.8buffer absorbs 8→
Asset24.0buffer absorbs 7→
Lender12.0buffer absorbs 6
Buffers reduce the original 55 shock to 12.0 by the final node. Ownership changes, but part of the disturbance is absorbed at each balance sheet.
UNDERSTAND
What to notice
Transmission is a systems idea: the important question is not only where a loss starts, but who must react next.
The same mechanism appears in banking, insurance, commodity chains, infrastructure finance and AI compute.
Where it appears
- mapping supplier and infrastructure dependencies
- designing stress scenarios
- assessing liquidity and collateral feedback loops
Where the intuition breaks
What this view leaves out
- A transmission map is scenario-dependent and can miss adaptive behavior, hidden dependencies, timing effects, and nonlinear feedback.
Common mistakes
Where this concept sits
Follow the strongest prerequisites, applications, extensions, and contrasts.
Connections for Risk Transmission
Risk TransmissionYOU ARE HERE
UsesScenario and Stress EngineA transmission map turns a scenario into a sequence of exposures, buffers and reactions across the system.
Supported byMargin and LeverageMargin thresholds and leverage can turn an initial loss into collateral calls, forced sales and further price pressure.
Supported byNonlinear RiskTransmission becomes more severe when a shock changes the slope of losses at another node in the system.
Supported byOperating LeverageHigh fixed costs can transmit a demand shortfall into rapid margin compression, retrenchment and pressure on counterparties.
SupportsLiquidity vs Solvency RiskA transmission map shows when funding pressure remains a timing problem and when feedback losses erode solvency.
Supported byEconomic OptionalityFlexibility can stop a local demand shock from becoming a binding loss for the next participant in the chain.
Uses · Scenario and Stress Engine
A transmission map turns a scenario into a sequence of exposures, buffers and reactions across the system.
Explore concept →