Measuring the tail risk: an asymptotic approach
DOI10.1016/j.jmaa.2018.03.019zbMath1388.62140OpenAlexW2731166071WikidataQ130098774 ScholiaQ130098774MaRDI QIDQ1746754
Jinzhu Li, Alexandru V. Asimit
Publication date: 25 April 2018
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://openaccess.city.ac.uk/id/eprint/19009/1/Asimit_Li_2017_Expected_Loss_final_SSRN_version.pdf
sensitivity analysisregular variationrapid variationasymptotic dependence/ independencetail risk measure
Extreme value theory; extremal stochastic processes (60G70) Statistics of extreme values; tail inference (62G32)
Related Items (3)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Asymptotics for risk capital allocations based on conditional tail expectation
- An introduction to copulas.
- On the worst and least possible asymptotic dependence
- Tails of multivariate Archimedean copulas
- Extremes for coherent risk measures
- Precise large deviations of aggregate claims in a size-dependent renewal risk model
- Dependence and the asymptotic behavior of large claims reinsurance
- 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
- Continuous Bivariate Distributions
- Bivariate copulas with quadratic sections
- On some generalized farlie-gumbel-morgenstern distributions-II regression, correlation and further generalizations
- Asymptotic ruin probabilities for a discrete-time risk model with dependent insurance and financial risks
- Tail Behavior of Weighted Sums of Order Statistics of Dependent Risks
- Estimation of the Marginal Expected Shortfall: the Mean When a Related Variable is Extreme
- Heavy-Tail Phenomena
- AN AXIOMATIC APPROACH TO CAPITAL ALLOCATION
This page was built for publication: Measuring the tail risk: an asymptotic approach