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📊 '''Rating methodology''' describes the structured approach an [[Definition:Insurance carrier | insurer]], [[Definition:Reinsurance | reinsurer]], or [[Definition:Credit rating agency | credit rating agency]] uses to evaluate risk and assign a price or score. In the context of underwriting, it encompasses the combination of [[Definition:Actuarial analysis | actuarial techniques]], statistical models, and judgment-based factors that translate [[Definition:Exposure | exposure]] characteristics into an [[Definition:Insurance premium | premium]]. When applied to financial strength assessments, the term refers to the transparent criteria agencies like A.M. Best, S&P, or Moody's use to assign [[Definition:Financial strength rating | financial strength ratings]] to carriers.

🔧 On the [[Definition:Underwriting | underwriting]] side, a rating methodology typically begins with a [[Definition:Base rate | base rate]] derived from historical [[Definition:Loss experience | loss experience]] and then layers in adjustments for specific [[Definition:Rating variable | rating variables]]—such as geography, occupancy type, or claims history—to arrive at the final [[Definition:Insurance rate | rate]]. Increasingly, carriers incorporate [[Definition:Predictive analytics | predictive analytics]] and [[Definition:Machine learning (ML) | machine learning]] to refine these calculations, though every step must comply with applicable [[Definition:Rating law | rating laws]] and regulatory expectations around transparency. On the credit-rating side, agencies publish detailed methodology documents outlining how they weigh factors like [[Definition:Capital adequacy | capital adequacy]], [[Definition:Reserve | reserve]] strength, operating performance, and enterprise risk management before issuing a rating.

🎯 A well-constructed rating methodology directly influences a company's competitive positioning and financial health. Underpricing risk because of a flawed methodology erodes [[Definition:Underwriting profit | underwriting profit]], while overpricing it drives business to competitors. For [[Definition:Insurtech | insurtechs]] building new [[Definition:Rating model | rating models]], the methodology must not only be statistically sound but also explainable to regulators who may challenge the use of novel data sources or opaque algorithms. In the reinsurance market, sophisticated [[Definition:Catastrophe model | catastrophe modeling]] methodologies can make or break a cedent's ability to secure favorable [[Definition:Treaty reinsurance | treaty]] terms, making rating methodology a core strategic competency across the industry.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Rating model]]
* [[Definition:Rating variable]]
* [[Definition:Actuarial analysis]]
* [[Definition:Predictive analytics]]
* [[Definition:Financial strength rating]]
* [[Definition:Rating law]]
{{Div col end}}

Definition:Rating methodology - Revision history

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