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🔗 '''Correlation risk''' is the danger that the assumed statistical relationships between different [[Definition:Exposure | exposures]], asset classes, or [[Definition:Line of business | lines of business]] within an insurer's portfolio will shift unexpectedly, leading to losses that exceed modeled expectations. In insurance, this risk is distinct from simply having [[Definition:Correlated risk | correlated risks]] on the books; it is the meta-risk that the correlation assumptions embedded in pricing, [[Definition:Reserve | reserving]], and [[Definition:Capital model | capital models]] prove wrong — typically during stress scenarios when correlations tend to spike. A carrier might believe its [[Definition:Property insurance | property]] catastrophe exposure and its [[Definition:Casualty insurance | casualty]] reserve risk are largely independent, only to discover during a severe event that both deteriorate simultaneously.

⚙️ Insurers quantify correlation risk through [[Definition:Stress testing | stress testing]], [[Definition:Scenario analysis | scenario analysis]], and sensitivity analysis of their internal capital models. Under [[Definition:Solvency II | Solvency II]], the standard formula prescribes fixed correlation matrices for aggregating capital charges across risk modules, but firms using [[Definition:Internal model | internal models]] must justify their own correlation assumptions to regulators and demonstrate that they capture tail dependencies adequately. [[Definition:Reinsurance | Reinsurers]] and [[Definition:Insurance-linked securities (ILS) | ILS]] fund managers face particularly acute correlation risk because their portfolios are concentrated in [[Definition:Catastrophe risk | catastrophe-exposed]] business, where a single macro event — like a major earthquake triggering both property losses and financial market disruption — can invalidate diversification assumptions across retrocession layers and collateralized structures.

🧠 The practical consequence of ignoring correlation risk became starkly visible during events like the 2011 Thailand floods, which simultaneously impacted [[Definition:Supply chain insurance | supply chain]], property, and [[Definition:Business interruption insurance | business interruption]] coverages in ways that many models had treated as near-independent. [[Definition:Rating agency | Rating agencies]] and regulators now expect insurers to demonstrate awareness of correlation risk explicitly — not just through static matrices but through reverse stress tests that ask, "Under what correlation regime would we breach our [[Definition:Solvency capital requirement (SCR) | capital requirement]]?" Treating correlation as a fixed input rather than a dynamic, uncertain variable is a mistake that the industry has learned to avoid the hard way, and robust management of correlation risk is now a hallmark of sophisticated [[Definition:Enterprise risk management (ERM) | enterprise risk management]] programs.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Correlated risk]]
* [[Definition:Model risk]]
* [[Definition:Tail risk]]
* [[Definition:Stress testing]]
* [[Definition:Solvency capital requirement (SCR)]]
* [[Definition:Diversification benefit]]
{{Div col end}}

Definition:Correlation risk - Revision history

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