Introduction to Reinsurance Reserving Casualty Loss Reserve Seminar Scottsdale, Arizona - September 13, 1999 Leslie Marlo - Senior Manager KPMG LLP kpmg
Applications, Complications, and Considerations Loss Development Method Loss Ratio Method Bornhuetter-Ferguson Others kpmg
Applications, Complications, and Considerations Parameter estimation very difficult Data Other Considerations Qualitative information kpmg
Loss Development Method Application same as for primary business kpmg
Loss Development Method For non-proportional business, may develop individual losses by layer: kpmg
Loss Development Method Potential Problems Selection of LDFs ----> Variability Tail Estimation Changes in Exposure No claims = No IBNR, Large claims = Large IBNR Paid Development kpmg
Loss Development Method Potential Problems Selection of LDFs ----> Variability Treaty vs. Facultative
Treaty vs. Facultative Historical Loss Development Automobile Liability
Loss Development Method Potential Problems Selection of LDFs ----> Variability Treaty vs. Facultative Attachment Point
Impact of Attachment Points on Historical Loss Development Automobile Liability
Loss Development Method Potential Problems Selection of LDFs ----> Variability Treaty vs. Facultative Attachment Point Loss Portfolio Transfers Commutations Line of Business Mix Catastrophes kpmg
Loss Development Method Potential Problems Tail Estimation kpmg
Loss Development Method Potential Problems Tail Estimation Industry Benchmarks RAA ISO/A.M. Best/NCCI with lags Comparability with your company? Curve Fitting Inverse Power Curve: Y = 1 + a(t)-b Development may never end Judgment kpmg
Loss Development Method Potential Problems Changes in Underlying Exposure Attachment Points / Limits Line of Business Mix Understanding the Data kpmg
Loss Development Method Potential Problems Paid Development Method Not very common for reinsurance reserving Little data No industry benchmarks on development May be appropriate for property or low limit proportional business kpmg
Loss Ratio Method Ultimate loss = Earned Premium x Expected Loss Ratio kpmg
Loss Ratio Method Useful for new business or immature years Picking the loss ratio: Past experience (rate changes, trends) Underwriting considerations Market considerations Adjust for changes in coverage kpmg
Loss Ratio Method Potential Problems Loss Ratio Triangles Ignores actual experience ----> potential for negative IBNR Premium develops too ----> need to estimate development technique underwriter input Loss Ratio Triangles kpmg