Optimal reinsurance minimizing the distortion risk measure under general reinsurance premium principles
By W. Cui, Jingping Yang, Lan Wu. 2013
117 citations recorded by the source corpus.
Subfields: Demography, Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/0ad4c22bb3df03c3c87b413378829bfbdd9a4e07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
In Economics and Econometrics
In Management Science and Operations Research
Citations in the corpus
- Optimal reinsurance designs based on risk measures: a review (2020, background): “In the absence of a constraint on the reinsurance premium, the optimal reinsurance problem in Cui et al. (2013) is formulated as min f∈C2 ρg(Tf (X)).”
- Pareto-Optimal Reinsurance Arrangements Under General Model Settings (2017, background): “See e.g. Chi and Tan (2011), Bernard and Tian (2009), Cui et al. (2013), Cheung et al. (2014), Cheung and Lo (2015), and Lo (2016a) for minimization of Value-at-Risk (VaR) / Tail-Value-at-Risk (TVaR), tail risk measures, general distortion risk measures, general law-invariant convex risk measures,…”
- Optimal reinsurance under risk and uncertainty (2015, unknown): “28223 Pozuelo de Alarcón (Madrid, Spain). aheras@ccee.ucm.es 1 Optimal reinsurance under risk and uncertainty 2 Usually, researchers consider the insurer point of view, though the reinsurer viewpoint may be also incorporated (Cai et al., 2012, Cui et al., 2013, etc.).”