unpaidClaims
Compute unpaid claims estimates for expectedClaims
object
Description
computes unpaid claims estimates for an unpaidClaimsEstimate = unpaidClaims(ec)expectedClaims object.
Examples
Compute unpaid claims estimates for an expectedClaims 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 an expectedClaims object where the first input argument is the reported development triangle and the second input argument is the paid development triangle.
earnedPremium = [17000; 18000; 10000; 19000; 16000; 10000; 11000; 10000; 14000; 10000]; ec = expectedClaims(dT_reported, dT_paid,earnedPremium)
ec =
expectedClaims with properties:
ReportedTriangle: [1×1 developmentTriangle]
PaidTriangle: [1×1 developmentTriangle]
EarnedPremium: [10×1 double]
InitialClaims: [10×1 double]
CaseOutstanding: [10×1 double]
EstimatedClaimsRatios: [10×1 double]
SelectedClaimsRatios: [10×1 double]
Use unpaidClaims to compute the unpaid claims estimates.
unpaidClaimsEstimate = unpaidClaims(ec)
unpaidClaimsEstimate = 10×1
103 ×
0.0984
0.0279
0.0733
0.0778
0.1399
0.1575
0.4171
0.9577
1.7513
3.8386
Input Arguments
Expected claims, specified as a previously created expectedClaims
object.
Data Types: object
Output Arguments
Unpaid claims estimates, returned as an array.
More About
Unpaid claims are claims reserves for events that have occurred, including both reported and incurred-but-not-reported (IBNR) reserves, as well as the expenses of settling such claims.
Version History
Introduced in R2020b
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