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📊 '''Sensitivity analysis''' is a quantitative technique used throughout the insurance industry to measure how changes in key assumptions — such as [[Definition:Loss ratio (L/R) | loss ratios]], [[Definition:Interest rate | interest rates]], [[Definition:Inflation | claims inflation]], or [[Definition:Policyholder | policyholder]] lapse rates — affect financial outcomes like [[Definition:Reserve | reserves]], [[Definition:Premium | premiums]], or [[Definition:Solvency | solvency]] ratios. By systematically varying one or more inputs while holding others constant, [[Definition:Actuary | actuaries]], [[Definition:Risk management | risk managers]], and financial analysts can identify which assumptions exert the greatest influence on an insurer's results.

⚙️ In practice, sensitivity analysis is embedded in numerous insurance workflows. [[Definition:Actuarial analysis | Actuarial teams]] routinely stress-test [[Definition:Loss reserving | loss reserve]] estimates by adjusting development factors or trend assumptions to see how final incurred losses shift. [[Definition:Enterprise risk management (ERM) | Enterprise risk management]] functions use sensitivity runs as inputs to [[Definition:Own Risk and Solvency Assessment (ORSA) | ORSA]] reports and [[Definition:Capital modeling | capital models]], while [[Definition:Reinsurance | reinsurance]] buyers test how different retention levels or attachment points alter their net exposure. The analysis can be univariate — changing a single variable at a time — or multivariate, exploring how correlated shifts in several factors compound. Results are typically presented as tornado diagrams, waterfall charts, or tabular ranges that give decision-makers a clear view of volatility.

💡 Without rigorous sensitivity testing, insurers risk anchoring to point estimates that may obscure significant uncertainty. Regulators, including the [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC]] and international supervisory bodies, expect carriers to demonstrate awareness of assumption sensitivity in their [[Definition:Statutory reporting | statutory filings]] and risk disclosures. For [[Definition:Insurtech | insurtech]] companies building [[Definition:Predictive analytics | predictive models]] or parametric products, sensitivity analysis also serves as a validation tool — confirming that a model behaves logically under extreme but plausible conditions and that pricing remains viable across a range of scenarios.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Scenario analysis]]
* [[Definition:Stress testing]]
* [[Definition:Capital modeling]]
* [[Definition:Actuarial analysis]]
* [[Definition:Own Risk and Solvency Assessment (ORSA)]]
* [[Definition:Enterprise risk management (ERM)]]
{{Div col end}}

Definition:Sensitivity analysis - Revision history

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