covariates_relativity

Calculates the relativities (<code>freq</code> or <code>sev</code>) of a set of covariate values.

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>.

Melantha Wang

SynthETIC

Synthetic Experience Tracking Insurance Claims

Benjamin Avanzi

William Ho

Greg Taylor

Bernard Wong

covariates_relativity function

<dl><dt>covariates_data</dt>
<dd>a <code>covariates_data</code> object</dd>
<dt>freq_sev</dt>
<dd>one of <code>freq</code> or <code>sev</code> to calculate the frequency or severity relativity respectively.</dd>
<dt>by_ids</dt>
<dd>optional boolean to calculate reorder the result based off claim observations instead of observations in the covariates dataset. Defaults to FALSE.</dd></dl>

Arguments

Calculates Relativities — covariates_relativity

<dl>

<dt>covariates_data</dt>
<dd>a <code>covariates_data</code> object</dd>


<dt>freq_sev</dt>
<dd>one of <code>freq</code> or <code>sev</code> to calculate the frequency or severity relativity respectively.</dd>


<dt>by_ids</dt>
<dd>optional boolean to calculate reorder the result based off claim observations instead of observations in the covariates dataset. Defaults to FALSE.</dd>

</dl>

covariates_relativity: Calculates Relativities

Description

Usage

Arguments