That the returns on financial assets and insurance claims are not well described by the
multivariate normal distribution is generally acknowledged in the literature. This paper …

We review the academic literature on “cyber risk” and “cyber insurance” in the fields of
business (management, economics, finance, risk management and insurance) and actuarial …

Cyber risks are high on the business agenda of every company, but they are difficult to
assess due to the absence of reliable data and thorough analyses. This paper is the first to …

This paper analyzes whether the skew-normal and skew-student distributions recently
discussed in the finance literature are reasonable models for describing claims in property …

Some research on cyber risk has been conducted in the field of information technology, but
virtually no research exists in the actuarial domain. As a first step toward a more profound …

Road accident fatalities and accident severity costs have become top priorities and concerns
for Chinese policymakers. Understanding the principal factors that explain accident severity …

We propose a new family of risk measures, called GlueVaR, within the class of distortion risk
measures. Analytical closed‐form expressions are shown for the most frequently used …

The distribution of insurance losses has a positive support and is often unimodal hump-
shaped, right-skewed and with heavy tails. In this work, we introduce a 3-parameter …

The derivation of loss distribution from insurance data is a very interesting research topic but
at the same time not an easy task. To find an analytic solution to the loss distribution may be …

A method to estimate an extreme quantile that requires no distributional assumptions is
presented. The approach is based on transformed kernel estimation of the cumulative …