Risk diversification is the basis of insurance and investment. It is thus crucial to study the effects that could limit … it. One of them is the existence of systemic risk that affects all of the policies at the same time. We introduce here a … probabilistic approach to examine the consequences of its presence on the risk loading of the premium of a portfolio of insurance …

In this paper, the generalized Pareto distribution (GPD) copula approach is utilized to solve the conditional value-at-risk …-parametric kernel-smoothed interior and the parametric Pareto upper tail and (iii) Value-at-Risk (VaR) to quantify risk measure. The … minimizing CVaR measure and simulated copula returns combined outperforms the risk/return of domestic portfolios, such as the US …

such policies. A typical industry practice consists of using fund mapping regressions to represent basis risk stemming from …

In this paper, we propose a novel framework for estimating systemic risk measures and risk allocations based on Markov … Chain Monte Carlo (MCMC) methods. We consider a class of allocations whose jth component can be written as some risk measure … intersection of linear constraints, this class of allocations covers, for example, conditional Value-at-Risk (CoVaR), conditional …

Evaluating risk measures, premiums, and capital allocation based on dependent multi-losses is a notoriously difficult … by a heavy-tailed background risk. A particular attention is given to the distortion and weighted risk measures and … allocations, as well as their special cases such as the conditional layer expectation, tail value at risk, and the truncated tail …

We discuss risk measures representing the minimum amount of capital a financial institution needs to raise and invest …-additive risk measures, for which the eligible asset is a risk-free bond, on the grounds that the general case can be reduced to the … provide a variety of finiteness and continuity results for the corresponding risk measures and apply them to risk measures …

This paper proposes a new method to introduce coherent risk measures for risks with infinite expectation, such as those … characterized by some Pareto distributions. Extensions of the conditional value at risk, the weighted conditional value at risk and …

We introduce and study the main properties of a class of convex risk measures that refine Expected Shortfall by … adjusted Expected Shortfalls quantify risk as the minimum amount of capital that has to be raised and injected into a financial … probability level p\in[0,1]. Through the choice of the benchmark risk profile g one can tailor the risk assessment to the specific …

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk … quantifying market risk by strictly relying on point-in-time measures cannot be deemed a satisfactory approach in general. Instead …, we argue that complementing this approach by studying measures of risk that capture the magnitude of losses potentially …

Monetary risk measures classify a financial position by the minimal amount of external capital that must be added to … the position to make it acceptable.We propose a new concept: intrinsic risk measures. The definition via external capital … is avoided and only internal resources appear. An intrinsic risk measure is defined by the smallest percentage of the …