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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: State Farm Mut 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
Factor1.9211.2841.1401.0661.0381.0161.0091.0071.016
CDF to ult.3.2581.6971.3211.1591.0881.0481.0321.0231.016

Ultimates & IBNR (Mack stochastic model)

Origin yearLatestCDFUltimateIBNRMack s.e.CV
AY 1193,4991.000193,499000.0%
AY 2199,9971.016203,1243,12733210.6%
AY 3224,0781.023229,1935,1151,18723.2%
AY 4204,9111.032211,4016,4901,15717.8%
AY 5208,0081.048218,03210,0241,37013.7%
AY 6219,3451.088238,54719,2021,8149.4%
AY 7212,4461.159246,28233,8363,39010.0%
AY 8190,9741.321252,28061,3064,6197.5%
AY 9143,5901.697243,622100,0327,2337.2%
AY 1075,8273.258247,080171,25312,9267.5%
Total1,872,6752,283,059410,38418,2644.5%

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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