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Chain-Ladder Development

Project ultimate losses from a loss-development triangle using selectable age-to-age averaging methods, an optional fitted tail, and Mack (1993) standard errors.

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Loaded: Federal Ins Co Grp β€” Commercial Auto (paid, CAS Loss Reserve DB)
Origin \ Dev12345678910
AY 1
AY 2
AY 3
AY 4
AY 5
AY 6
AY 7
AY 8
AY 9
AY 10

Development factors

Age1β†’22β†’33β†’44β†’55β†’66β†’77β†’88β†’99β†’10
Method
Factor2.4861.3361.1381.0671.0241.0251.0131.0081.003
CDF to ult.4.3371.7451.3061.1481.0761.0501.0251.0121.003

Ultimates & IBNR (Mack stochastic model)

Origin yearLatestCDFUltimateIBNRMack s.e.CV
AY 160,5161.00060,516000.0%
AY 265,5111.00365,733222679306.4%
AY 362,6261.01263,363737958130.0%
AY 464,5181.02566,1211,6031,12970.4%
AY 574,0481.05077,7813,7331,49940.2%
AY 653,5991.07657,6564,0571,41534.9%
AY 754,3881.14862,4538,0651,76721.9%
AY 849,8351.30665,10515,2705,22834.2%
AY 944,3771.74577,43233,0557,82823.7%
AY 1027,3094.337118,44291,13344,65649.0%
Total556,727714,600157,87346,70729.6%

IBNR by origin year with Mack std. error

Assumptions & limitations
  • Development patterns are stable across origin years and future development follows the same age-to-age factors as historical experience.
  • Mack's model assumes the chain-ladder recursion is correctly specified (uncorrelated origin years, no calendar-year trend) and factors are the volume-weighted averages unless overridden per age.
  • A fitted exponential-decay tail is an extrapolation; validate against industry benchmarks before relying on it.
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