Asymptotics for VaR and CTE of total aggregate losses in a bivariate operational risk cell model
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Publication:2076397
DOI10.3934/jimo.2021022zbMath1499.62376OpenAlexW3125162156MaRDI QIDQ2076397
Publication date: 16 February 2022
Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/jimo.2021022
asymptotic estimatesvalue-at-riskconditional tail expectationbivariate operational risk cell modeltotal aggregate loss
Asymptotic distribution theory in statistics (62E20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70)
Cites Work
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- Tail risk of multivariate regular variation
- Asymptotics for risk capital allocations based on conditional tail expectation
- Sharp asymptotics for large portfolio losses under extreme risks
- Asymptotic tail probabilities of sums of dependent subexponential random variables
- On the observation closest to the origin
- Asymptotics for ruin probabilities in Lévy-driven risk models with heavy-tailed claims
- Interplay of financial and insurance risks in dependent discrete-time risk models
- Asymptotics for a bidimensional risk model with two geometric Lévy price processes
- Modeling loss data using composite models
- Multivariate models for operational risk
- Subexponential tails of discounted aggregate claims in a time-dependent renewal risk model
- Extremes on the discounted aggregate claims in a time dependent risk model
- An Introduction to Heavy-Tailed and Subexponential Distributions
- The finite-time ruin probability of the compound Poisson model with constant interest force
- Sums of Pairwise Quasi-Asymptotically Independent Random Variables with Consistent Variation
- Interplay of insurance and financial risks in a stochastic environment
- Modeling actuarial data with a composite lognormal-Pareto model
- Heavy-Tail Phenomena
- Some Concepts of Dependence
- Asymptotic Analysis of the Loss Given Default in the Presence of Multivariate Regular Variation