Saved in:
Bibliographic Details
Main Authors: Christiansen, Marcus C., Furrer, Christian
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.12522
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912126667325440
author Christiansen, Marcus C.
Furrer, Christian
author_facet Christiansen, Marcus C.
Furrer, Christian
contents Thiele's differential equation explains the change in prospective reserve and plays a fundamental role in safe-side calculations and other types of actuarial model comparisons. This paper presents a `model lean' version of Thiele's equation with the novel feature that it supports any canonical insurance model, irrespective of the model's intertemporal dependence structure. The basis for this is a canonical and path-wise model construction that simultaneously handles discrete and absolutely continuous modeling regimes. Comparison theorems for differing canonical insurance models follow directly from the resulting stochastic backward equations. The elegance with which these comparison theorems handle non-equivalence of probability measures is one of their major advantages over previous results.
format Preprint
id arxiv_https___arxiv_org_abs_2411_12522
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Canonical insurance models: stochastic equations and comparison theorems
Christiansen, Marcus C.
Furrer, Christian
Probability
Risk Management
Thiele's differential equation explains the change in prospective reserve and plays a fundamental role in safe-side calculations and other types of actuarial model comparisons. This paper presents a `model lean' version of Thiele's equation with the novel feature that it supports any canonical insurance model, irrespective of the model's intertemporal dependence structure. The basis for this is a canonical and path-wise model construction that simultaneously handles discrete and absolutely continuous modeling regimes. Comparison theorems for differing canonical insurance models follow directly from the resulting stochastic backward equations. The elegance with which these comparison theorems handle non-equivalence of probability measures is one of their major advantages over previous results.
title Canonical insurance models: stochastic equations and comparison theorems
topic Probability
Risk Management
url https://arxiv.org/abs/2411.12522