Rank-Based Multivariate Sarmanov for Modeling Dependence between Loss Reserves

A Abdallah, L Wang - Risks, 2023 - mdpi.com
The interdependence between multiple lines of business has an important impact on
determining loss reserves and risk capital, which are crucial for the solvency of a property …

Estimating Risk Relativity of Driving Records using Generalized Additive Models: A Statistical Approach for Auto Insurance Rate Regulation

S Xie - Asia-Pacific Journal of Risk and Insurance, 2024 - degruyter.com
Studying driving records (DR) and assessing their risk relativity is crucial for auto insurance
rate regulation. Typically, the evaluation of DR involves estimating risk using empirical loss …

[HTML][HTML] Automated Actuarial Data Analytics-Based Inflation Adjusted Frequency Severity Loss Reserving Model

B Mahohoho - Open Journal of Statistics, 2024 - scirp.org
In this paper, the Automated Actuarial Loss Reserving Model is developed and extended
using machine learning. The traditional actuarial reserving techniques are no longer …

Comprehensive statistical modeling of cyber risks and analysis of data breaches with applications in cyber insurance

MM Sun - 2024 - summit.sfu.ca
In the rapidly evolving landscape of cybersecurity, the increased demand for zero trust
protection and the intricate management of digital assets give rise to the urgent need for …

Pairwise versus mutual independence: visualisation, actuarial applications and central limit theorems

G Boglioni Beaulieu - 2023 - unsworks.unsw.edu.au
Accurately capturing the dependence between risks, if it exists, is an increasingly relevant
topic of actuarial research. In recent years, several authors have started to relax the …

One-year and ultimate correlations in dependent claims run-off triangles

Ł Delong, M Szatkowski - Annals of Actuarial Science, 2022 - cambridge.org
We investigate bottom-up risk aggregation applied by insurance companies facing reserve
risk from multiple lines of business. Since risk capitals should be calculated in different time …