ibnr
Compute IBNR claims for expectedClaims object
Syntax
Description
computes the incurred-but-not-reported (IBNR) claims for an
ibnrClaims = ibnr(ec)expectedClaims object.
Examples
Compute the IBNR claims 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 ibnr to compute the IBNR claims.
ibnrClaims = ibnr(ec)
ibnrClaims = 10×1
103 ×
-0.0984
-0.0176
-0.0399
0.0030
0.0204
0.1483
0.1753
0.2744
0.6423
1.6575
Input Arguments
Expected claims, specified as a previously created expectedClaims
object.
Data Types: object
Output Arguments
IBNR claims, returned as an array.
More About
Incurred-but-not-reported (IBNR) claims are the claims amount owed by an insurer to all valid claimants who have had a covered loss but have not yet reported it.
Since the insurer knows neither how many of these losses have occurred nor the severity of each loss, IBNR is necessarily an estimate.
Version History
Introduced in R2020b
MATLAB Command
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
Web サイトの選択
Web サイトを選択すると、翻訳されたコンテンツにアクセスし、地域のイベントやサービスを確認できます。現在の位置情報に基づき、次のサイトの選択を推奨します:
また、以下のリストから Web サイトを選択することもできます。
最適なサイトパフォーマンスの取得方法
中国のサイト (中国語または英語) を選択することで、最適なサイトパフォーマンスが得られます。その他の国の MathWorks のサイトは、お客様の地域からのアクセスが最適化されていません。
南北アメリカ
- América Latina (Español)
- Canada (English)
- United States (English)
ヨーロッパ
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)