Synthetic Experience Tracking Insurance Claims
Covariates Claim Size Adjustment
Construction of a claims Object
Construction of a covariates Object
Construction of a covariates_data Object
Calculates Relativities
Coefficient of Variation
Generate a Claims Dataset
Generate a Transactions Dataset
Estimating Beta Parameters
Estimating Weibull Parameters
Plot of Cumulative Claims Payments (Incurred Pattern)
Plot of Cumulative Claims Payments (Incurred Pattern)
Function to check the input Covariate Relativities
Claim Closure
Claim Frequency
Claim Notification
Claim Occurrence Times
Loss Reserving Output
Inter-Partial Delays
Size of Partial Payments (With Inflation)
Number of Partial Payments
Size of Partial Payments (Without Inflation)
Partial Payment Times (in Continuous Time Scale)
Claim Size
Covariates Claim Size Adjustment
Template to input Covariate Relativities
Get Current Parameters
Sets the claims relativity for a covariates object.
Set Packagewise Global Parameters for the Claims Simulator
Inverse Tranform Sampling
Covariates Simulation
SynthETIC: Synthetic Experience Tracking Insurance Claims
Conversion to SynthETIC Format
Creation of an individual claims simulator which generates various features of non-life insurance claims. An initial set of test parameters, designed to mirror the experience of an Auto Liability portfolio, were set up and applied by default to generate a realistic test data set of individual claims (see vignette). The simulated data set then allows practitioners to back-test the validity of various reserving models and to prove and/or disprove certain actuarial assumptions made in claims modelling. The distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator with feature control" <arXiv:2008.05693>.