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An overview of comonotonicity and its applications in finance and insurance
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 …
for solving several research and practical problems in the domain of finance and insurance …
Risk aggregation with dependence uncertainty
Risk aggregation with dependence uncertainty refers to the sum of individual risks with
known marginal distributions and unspecified dependence structure. We introduce the …
known marginal distributions and unspecified dependence structure. We introduce the …
Value‐at‐risk bounds with variance constraints
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
This paper introduces a new family of Generalised Hyper-Elliptical (GHE) distributions
providing further generalisation of the generalised hyperbolic (GH) family of 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 …
range covariance (MRCov) as two risk measures and explore their desirable properties in …
Simple risk measure calculations for sums of positive random variables
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 …
are given for a family of statistical distributions that are specially suitable for right-skewed …