ibnr
Syntax
Description
computes incurred-but-not-reported (IBNR) claims for reported or paid claims for a
ibnrClaims = ibnr(cc)capeCod object.
Examples
This example shows how to compute the incurred-but-not-reported (IBNR) claims for a capeCod object for 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 capeCod object where the first input argument is the reported development triangle, the second input argument is the paid development triangle, and the third input is the earned premium.
earnedPremium = [17000; 18000; 10000; 19000; 16000; 10000; 11000; 10000; 14000; 10000]; cc = capeCod(dT_reported, dT_paid,earnedPremium)
cc =
capeCod with properties:
ReportedTriangle: [1×1 developmentTriangle]
PaidTriangle: [1×1 developmentTriangle]
EarnedPremium: [10×1 double]
UsedUpPremium: [10×1 double]
EstimatedClaimRatios: [10×1 double]
ExpectedClaimRatio: 0.4258
EstimatedExpectedClaims: [10×1 double]
PercentUnreported: [10×1 double]
CaseOutstanding: [10×1 double]
Use ibnr to compute the IBNR claims.
ibnrClaims = ibnr(cc)
ibnrClaims = 10×1
0
7.6650
12.7454
48.3382
66.0055
63.9011
118.9799
208.8065
594.2093
999.9805
Input Arguments
Cape Cod object, specified as a previously created capeCod 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 R2021a
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.
Website auswählen
Wählen Sie eine Website aus, um übersetzte Inhalte (sofern verfügbar) sowie lokale Veranstaltungen und Angebote anzuzeigen. Auf der Grundlage Ihres Standorts empfehlen wir Ihnen die folgende Auswahl: .
Sie können auch eine Website aus der folgenden Liste auswählen:
So erhalten Sie die bestmögliche Leistung auf der Website
Wählen Sie für die bestmögliche Website-Leistung die Website für China (auf Chinesisch oder Englisch). Andere landesspezifische Websites von MathWorks sind für Besuche von Ihrem Standort aus nicht optimiert.
Amerika
- América Latina (Español)
- Canada (English)
- United States (English)
Europa
- 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)