An overview of comonotonicity and its applications in finance and insurance

G Deelstra, J Dhaene, M Vanmaele - Advanced mathematical methods for …, 2011 - Springer
Over the last decade, it has been shown that the concept of comonotonicity is a helpful tool
for solving several research and practical problems in the domain of finance and insurance …

Risk aggregation with dependence uncertainty

C Bernard, X Jiang, R Wang - Insurance: Mathematics and Economics, 2014 - Elsevier
Risk aggregation with dependence uncertainty refers to the sum of individual risks with
known marginal distributions and unspecified dependence structure. We introduce the …

Value‐at‐risk bounds with variance constraints

C Bernard, L Rüschendorf… - Journal of Risk and …, 2017 - Wiley Online Library
We study bounds on the Value‐at‐Risk (VaR) of a portfolio when besides the marginal
distributions of the components its variance is also known, a situation that is of considerable …

A class of claim distributions: properties, characterizations and applications to insurance claim data

Z Ahmad, E Mahmoudi, G Hamedani - … in Statistics-Theory and …, 2022 - Taylor & Francis
Actuaries are often in search of finding an adequate model for actuarial and financial risk
management problems. In the present work, we introduce a class of claim distributions …

Multivariate risk measures based on conditional expectation and systemic risk for Exponential Dispersion Models

T Shushi, J Yao - Insurance: Mathematics and Economics, 2020 - Elsevier
Exponential dispersion models are well used and studied in quantitative risk management
and actuarial science. One of the main interests is the risk measurement analysis of such …

Modelling losses and locating the tail with the Pareto Positive Stable distribution

M Guillen, F Prieto, JM Sarabia - Insurance: Mathematics and Economics, 2011 - Elsevier
This paper focuses on modelling the severity distribution. We directly model the small,
moderate and large losses with the Pareto Positive Stable (PPS) distribution and thus it is …

Conditional tail risk measures for the skewed generalised hyperbolic family

K Ignatieva, Z Landsman - Insurance: Mathematics and Economics, 2019 - Elsevier
This paper deals with the estimation of loss severity distributions arising from historical data
on univariate and multivariate losses. We present an innovative theoretical framework where …

A class of generalised hyper-elliptical distributions and their applications in computing conditional tail risk measures

K Ignatieva, Z Landsman - Insurance: Mathematics and Economics, 2021 - Elsevier
This paper introduces a new family of Generalised Hyper-Elliptical (GHE) distributions
providing further generalisation of the generalised hyperbolic (GH) family of distributions …

Multivariate range Value-at-Risk and covariance risk measures for elliptical and log-elliptical distributions

B Zuo, C Yin, J Yao - Communications in Statistics-Theory and …, 2024 - Taylor & Francis
In this article, we propose the multivariate range Value-at-Risk (MRVaR) and the multivariate
range covariance (MRCov) as two risk measures and explore their desirable properties in …

Simple risk measure calculations for sums of positive random variables

M Guillen, JM Sarabia, F Prieto - Insurance: Mathematics and Economics, 2013 - Elsevier
Closed-form expressions for basic risk measures, such as value-at-risk and tail value-at-risk,
are given for a family of statistical distributions that are specially suitable for right-skewed …