Abstract
PEBELS is a method for estimating the expected loss cost for each loss layer of an individual property risk regardless of size. By providing maximum resolution in estimating layer loss costs, PEBELS facilitates increased accuracy and sophistication in many actuarial pricing applications such as ratemaking, predictive modeling, catastrophe modeling, and reinsurance pricing. The existing actuarial literature provides methods for estimating high layer loss cost for credible property portfolios in aggregate, but does not provide a method to produce similar provisions for smaller non-credible risks. PEBELS generalizes existing reinsurance pricing theory, and leverages increasingly available exposure data to fill that void.
Volume
9
Issue
2
Page
234-255
Year
2015
Keywords
AAL, average annual loss, catastrophe, exposure rating, excess loss, generalized linear model, GLM, property, large loss, predictive modeling, property per risk reinsurance, PPR, ratemaking, reinsurance, predictive analytics
Categories
Actuarial Applications and Methodologies
Ratemaking
Exposure Bases
Exposure Rating
Business Areas
Reinsurance
Aggregate Excess/Stop Loss
Actuarial Applications and Methodologies
Reserving
Equalization/Catastrophe Reserves
Financial and Statistical Methods
Statistical Models and Methods
Generalized Linear Modeling
Financial and Statistical Methods
Statistical Models and Methods
Predictive Modeling
Publications
Variance