Extreme analysis of typhoons disaster in mainland China with insurance management

K Hu, R Wang, J Xu, C Constantinescu, Y Chen… - International Journal of …, 2024 - Elsevier
Due to climate change, typhoons, especially extreme typhoons, are becoming more intense
and causing ascending financial losses. A majority of previous studies on typhoon economic …

A two-step approach for deploying heterogeneous vessels and designing reliable schedule in liner shipping services

S Zhao, H Yang, J Zheng, D Li - Transportation Research Part E: Logistics …, 2024 - Elsevier
Schedule reliability is a crucial metric for measuring liner container shipping service. Due to
the inherent uncertainties at sea and ports, schedule delays and unreliable on-time …

Distributionally robust reinsurance with expectile

X Xie, H Liu, T Mao, XB Zhu - ASTIN Bulletin: The Journal of the IAA, 2023 - cambridge.org
We study a distributionally robust reinsurance problem with the risk measure being an
expectile and under expected value premium principle. The mean and variance of the …

Shaping of the risk of a series-parallel manufacturing structure maintenance according to quasi-coherence and the K-th survival value

B Zwolińska, Ł Kubica - Computers & Industrial Engineering, 2024 - Elsevier
The paper presents the authors' model for determining the probability value of the survival
function of the difference of two random variables: TP–the amount of time of correct …

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 …

[HTML][HTML] Robust insurance design with distortion risk measures

TJ Boonen, W Jiang - European Journal of Operational Research, 2024 - Elsevier
This paper studies the optimal insurance problem within the risk minimization framework
and from a policyholder's perspective. We assume that the decision maker (DM) is uncertain …

[HTML][HTML] Worst-case risk measures of stop-loss and limited loss random variables under distribution uncertainty with applications to robust reinsurance

J Cai, F Liu, M Yin - European Journal of Operational Research, 2024 - Elsevier
Stop-loss and limited loss random variables are two important transforms of a loss random
variable and appear in many modelling problems in insurance, finance, and other fields …

[HTML][HTML] Distributionally robust insurance under the Wasserstein distance

TJ Boonen, W Jiang - Insurance: Mathematics and Economics, 2024 - Elsevier
This paper studies the optimal insurance contracting from the perspective of a decision
maker (DM) who has an ambiguous understanding of the loss distribution. The ambiguity set …

Worst-case Distortion Risk Measures of Limited Stop-loss Transforms With Uncertain Distributions Lying in Wasserstein Balls

J Cai, F Liu, M Yin - Available at SSRN 4932667, 2024 - papers.ssrn.com
The limited stop-loss transform, along with the stop-loss and limited loss transforms-which
are special or limiting cases of the limited stop-loss transform-is one of the most important …

Worst-case values of target semi-variances with applications to robust portfolio selection

J Cai, Z Jiao, T Mao - arXiv preprint arXiv:2410.01732, 2024 - arxiv.org
The expected regret and target semi-variance are two of the most important risk measures
for downside risk. When the distribution of a loss is uncertain, and only partial information of …