Generalized Pareto Fit to the Society of Actuaries’ Large Claims Database
By A. Cebrián, Michel Denuit, Philippe Lambert. 2003
116 citations recorded by the source corpus.
Subfields: Demography, Finance
View Paper: https://www.semanticscholar.org/paper/96c5500eb7b1e399c20df63c562b02a8d517f530
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Mathieu Pigeon
- Stefan Lang
- N. Klein
- Thomas Kneib
- Edward Furman
- Michel Denuit
- Zinoviy Landsman
- Jan Dhaene
In Finance
- Edward Furman
- Jianxi Su
- Michel Denuit
- Zinoviy Landsman
- Arthur Chiragiev
- Mathieu Pigeon
- Stefan Lang
- N. Klein
Citations in the corpus
- A FORM OF MULTIVARIATE PARETO DISTRIBUTION WITH APPLICATIONS TO FINANCIAL RISK MEASUREMENT (2016, background): “…in modeling catastrophic risk; Koedijk et al. (1990), Longin (1996), Gabaix et al. (2003) for applications in general financial phenomena; Cebrián et al. (2003) for applications in insurance pricing; and Soprano et al. (2010), Chavez-Demoulin et al. (2015) for applications in risk…”
- Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape (2013, methodology): “Here, we restrict the analysis to observations with total claim size less than exp(15) which corresponds to a threshold approximately equal to EUR 80,000 (or 3.2 millions Belgian francs) in the spirit of Cebrian et al. (2003).”
- Composite Lognormal–Pareto model with random threshold (2011, methodology): “Extreme Value Theory and Generalized Pareto distributions (GPDs) can be used to set the value of this threshold, as described in Cebrian et al. (2003).”
- Bias-corrected maximum likelihood estimation of the parameters of the generalized Pareto distribution (2016, unknown): “MATHEMATICS SUBJECT CLASSIFICATION F; F; N; N”
- Multivariate Pareto portfolios: TCE-based capital allocation and divided differences (2007, background): “Cebrian et al. (2003) provides a number of examples of real data, analyzing SoA data among them.”