Certified Extreme Event Modeler (CEEM) Practice Test

Claims data provide historical loss information that helps calibrate how catastrophes translate into losses, feeding the model development process by estimating parameters for frequency, severity, and the vulnerability and loss distributions. They’re also essential for model validation, where you compare what the model would have predicted against actual past losses to judge accuracy and make adjustments. In addition, claims data can reveal how vulnerability varies with secondary features—things like construction type, occupancy, age of building, and other exposure characteristics—allowing you to refine vulnerability curves and segmentation to improve predictive performance. Gaining relationships with a client is relevant to business operations, but it doesn’t directly inform the model’s structure or predictive accuracy, so it’s not a core modeling use of claims data.