Cash-subadditive risk measures without quasi-convexity

X Han, Q Wang, R Wang, J Xia - arXiv preprint arXiv:2110.12198, 2021 - arxiv.org
In the literature of risk measures, cash subadditivity was proposed to replace cash additivity,
motivated by the presence of stochastic or ambiguous interest rates and defaultable …

Optimal risk sharing for lambda value-at-risk

Z Xia, T Hu - Advances in Applied Probability, 2024 - cambridge.org
A new risk measure, the Lambda Value-at-Risk (VaR), was proposed from a theoretical point
of view as a generalization of the ordinary VaR in the literature. Motivated by the recent …

Risk sharing with Lambda value at risk

P Liu - Mathematics of Operations Research, 2024 - pubsonline.informs.org
In this paper, we study the risk-sharing problem among multiple agents using lambda value
at risk (Λ VaR) as their preferences via the tool of inf-convolution, where Λ VaR is an …

[HTML][HTML] Optimal reinsurance under the linear combination of risk measures in the presence of reinsurance loss limit

Q Xiong, Z Peng, S Nadarajah - Risks, 2023 - mdpi.com
Optimal reinsurance problems under the risk measures, such as Value-at-Risk (VaR) and
Tail-Value-at-Risk (TVaR), have been studied in recent literature. However, losses based on …

Risk sharing with Lambda value at risk under heterogeneous beliefs

P Liu, A Tsanakas, Y Wei - arXiv preprint arXiv:2408.03147, 2024 - arxiv.org
In this paper, we study the risk sharing problem among multiple agents using Lambda value
at risk as their preferences under heterogenous beliefs, where the beliefs are represented …

One axiom to rule them all: A minimalist axiomatization of quantiles

T Fadina, P Liu, R Wang - SIAM Journal on Financial Mathematics, 2023 - SIAM
We offer a minimalist axiomatization of quantiles among all real-valued mappings on a
general set of distributions through only one axiom. This axiom is called ordinality: Quantiles …

Robust Lambda-quantiles and extreme probabilities

X Han, P Liu - arXiv preprint arXiv:2406.13539, 2024 - arxiv.org
In this paper, we investigate the robust models for $\Lambda $-quantiles with partial
information regarding the loss distribution, where $\Lambda $-quantiles extend the classical …

Optimal insurance design with Lambda-Value-at-Risk

TJ Boonen, Y Chen, X Han, Q Wang - arXiv preprint arXiv:2408.09799, 2024 - arxiv.org
This paper explores optimal insurance solutions based on the Lambda-Value-at-Risk
($\Lambda\VaR $). If the expected value premium principle is used, our findings confirm that …

Risk contributions of lambda quantiles

A Ince, I Peri, S Pesenti - Quantitative Finance, 2022 - Taylor & Francis
Risk contributions of portfolios form an indispensable part of risk-adjusted performance
measurement. The risk contribution of a portfolio, eg in the Euler or Aumann-Shapley …

Max-stability under first-order stochastic dominance

C Chambers, A Miller, R Wang, Q Wu - arXiv preprint arXiv:2403.13138, 2024 - arxiv.org
Max-stability is the property that taking a maximum between two inputs results in a maximum
between two outputs. We investigate max-stability with respect to first-order stochastic …