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Pareto models for risk management

Arthur Charpentier, Emmanuel Flachaire

arXiv 26 Dec 2019 · Econometrics

arXiv:1912.11736 · PDF · DOI · OpenAlex · Extracted main text

Abstract

The Pareto model is very popular in risk management, since simple analytical formulas can be derived for financial downside risk measures (Value-at-Risk, Expected Shortfall) or reinsurance premiums and related quantities (Large Claim Index, Return Period). Nevertheless, in practice, distributions are (strictly) Pareto only in the tails, above (possible very) large threshold. Therefore, it could be interesting to take into account second order behavior to provide a better fit. In this article, we present how to go from a strict Pareto model to Pareto-type distributions. We discuss inference, and derive formulas for various measures and indices, and finally provide applications on insurance losses and financial risks.

Citation extraction

41
references
85
in-text mentions
41
distinct cited
1
self-citations
11,189
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Embrechts, P., C. Klüppelberg, and T. Mikosch (1997) Modelling Extremal Events for Insurance and Finance1.000135100%
2Albrecher, H., J. Beirlant, and J. L. Teugels (2017) Reinsurance: Actuarial and Statistical Aspects1.00084100%
3Beirlant, J., E. Joossens, and J. Segers (2009) Second-order refined peaks-over-threshold modelling for heavy-tailed distributions1.00074100%
4Beirlant, J., Y. Goegebeur, J. Segers, and J. Teugels (2004) Statistics of Extremes: Theory and Applications1.00063100%
5Balkema, A. and L. de Haan (1974) Residual life time at great age0.84333100%
6Beirlant, J. and J. L. Teugels (1992) Modeling large claims in non-life insurance0.64422100%
7Charpentier, A. and E. Flachaire (2019) Pareto models for top incomes self0.64422100%
8de Haan, L. and A. Ferreira (2006) Extreme Value Theory: An introduction0.64422100%
9McNeil, A (1997) Estimating the tails of loss severity distributions using extreme value theory0.64422100%
10Pickands, J (1975) Statistical inference using extreme order statistics0.64422100%

Showing the top 10 of 41 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Quantitative methods in finance0.64422