Auto-balanced common shock claim models

12/24/2021
by   Greg Taylor, et al.
0

The paper is concerned with common shock models of claim triangles. These are usually constructed as a linear combinations of shock components and idiosyncratic components. Previous literature has discussed the unbalanced property of such models, whereby the shocks may over- or under-contribute to some observations. The literature has also introduced corrections for this. The present paper discusses 'auto-balanced' models, in which all shock and idiosyncratic components contribute to observations such that their proportionate contributions are constant from one observation to another. The conditions for auto-balance are found to be simple and applicable to a wide range of model structures. Numerical illustrations are given.

READ FULL TEXT

page 16

page 17

page 24

page 25

page 26

research
10/25/2022

Log normal claim models with common shocks

This paper is concerned with modelling multiple claim arrays that are su...
research
09/25/2019

On the linear structures of Balanced functions and quadratic APN functions

The set of linear structures of most known balanced Boolean functions is...
research
12/07/2019

Personalized Patent Claim Generation and Measurement

This work-in-progress paper proposes a framework to generate and measure...
research
05/07/2020

On unbalanced data and common shock models in stochastic loss reserving

Introducing common shocks is a popular dependence modelling approach, wi...
research
09/20/2012

Probabilistic Auto-Associative Models and Semi-Linear PCA

Auto-Associative models cover a large class of methods used in data anal...
research
01/09/2020

Deep Learning Enabled Uncorrelated Space Observation Association

Uncorrelated optical space observation association represents a classic ...

Please sign up or login with your details

Forgot password? Click here to reset