summary
Display summary report for different claims estimates for chain ladder
Description
displays the latest diagonal of both reported and paid development triangles,
projected ultimate claims, case outstanding, IBNR claims, and the total unpaid
claims estimates.unpaidClaimsEstimateTable = summary(cl)
Examples
Generate the summary report for a chainLadder object containing simulated insurance claims data.
load InsuranceClaimsData.mat;
head(data) OriginYear DevelopmentYear ReportedClaims PaidClaims
__________ _______________ ______________ __________
2010 12 3995.7 1893.9
2010 24 4635 3371.2
2010 36 4866.8 4079.1
2010 48 4964.1 4487
2010 60 5013.7 4711.4
2010 72 5038.8 4805.6
2010 84 5059 4853.7
2010 96 5074.1 4877.9
Use developmentTriangle to convert the data to a development triangle, which is the standard form for representing claims data. Create two developmentTriangle objects, one for reported claims and one for paid claims.
dT_reported = developmentTriangle(data,'Origin','OriginYear','Development','DevelopmentYear','Claims','ReportedClaims')
dT_reported =
developmentTriangle with properties:
Origin: {10×1 cell}
Development: {10×1 cell}
Claims: [10×10 double]
LatestDiagonal: [10×1 double]
Description: ""
TailFactor: 1
CumulativeDevelopmentFactors: [1.3069 1.1107 1.0516 1.0261 1.0152 1.0098 1.0060 1.0030 1.0010 1]
SelectedLinkRatio: [1.1767 1.0563 1.0249 1.0107 1.0054 1.0038 1.0030 1.0020 1.0010]
dT_paid = developmentTriangle(data,'Origin','OriginYear','Development','DevelopmentYear','Claims','PaidClaims')
dT_paid =
developmentTriangle with properties:
Origin: {10×1 cell}
Development: {10×1 cell}
Claims: [10×10 double]
LatestDiagonal: [10×1 double]
Description: ""
TailFactor: 1
CumulativeDevelopmentFactors: [2.4388 1.4070 1.1799 1.0810 1.0378 1.0178 1.0080 1.0030 1.0010 1]
SelectedLinkRatio: [1.7333 1.1925 1.0914 1.0417 1.0196 1.0097 1.0050 1.0020 1.0010]
Create a chainLadder object where the first input argument is the reported development triangle and the second input argument is the paid development triangle.
cl = chainLadder(dT_reported, dT_paid)
cl =
chainLadder with properties:
ReportedTriangle: [1×1 developmentTriangle]
PaidTriangle: [1×1 developmentTriangle]
CaseOutstanding: [10×1 double]
Use ibnr to compute the incurred-but-not-reported (IBNR).
ibnrClaims = ibnr(cl,'reported')ibnrClaims = 10×1
103 ×
0
0.0052
0.0169
0.0349
0.0575
0.0880
0.1489
0.3019
0.6084
1.5181
Use unpaidClaims to compute the unpaid claims.
unpaidClaimsEstimate = unpaidClaims(cl,'reported')unpaidClaimsEstimate = 10×1
103 ×
0.1968
0.0506
0.1300
0.1097
0.1771
0.0972
0.3908
0.9851
1.7175
3.6992
Use summary to display the latest diagonal of both reported and paid development triangles, projected ultimate claims, cases outstanding, IBNR claims, and total unpaid claims estimates.
unpaidClaimsEstimateTable = summary(cl)
unpaidClaimsEstimateTable=11×9 table
Reported Claims Paid Claims Projected Ultimate Reported Claims Projected Ultimate Paid Claims Case Outstanding IBNR with Reported Claims IBNR with Paid Claims Total with Reported Claims Total with Paid Claims
_______________ ___________ __________________________________ ______________________________ ________________ _________________________ _____________________ __________________________ ______________________
2010 5089.4 4892.6 5089.4 4892.6 196.79 0 -196.79 196.79 0
2011 5179.9 5134.4 5185.1 5139.6 45.46 5.1857 -40.334 50.646 5.1263
2012 5625.4 5512.3 5642.3 5528.8 113.15 16.89 -96.602 130.04 16.548
2013 5803.7 5728.9 5838.6 5774.8 74.83 34.887 -28.904 109.72 45.926
2014 5878.7 5759.1 5936.2 5861.9 119.58 57.515 -16.814 177.1 102.77
2015 5772.8 5763.6 5860.8 5981.4 9.2 87.959 208.63 97.159 217.83
2016 5714.3 5472.4 5863.2 5915.8 241.88 148.95 201.58 390.83 443.46
2017 5854.4 5171.2 6156.4 6101.4 683.23 301.91 246.93 985.14 930.16
2018 5495.1 4386.1 6103.5 6171.2 1109 608.43 676.08 1717.5 1785.1
2019 4945.9 2764.8 6464 6742.8 2181.1 1518.1 1796.9 3699.2 3978
Total 55360 50585 58139 58110 4774.2 2779.9 2750.7 7554.1 7524.9
Input Arguments
Chain ladder, specified as a previously created chainLadder
object.
Data Types: object
Output Arguments
Different claims estimates obtained using the chain ladder technique, returned as a table.
Version History
Introduced in R2020b
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