Jiali Xu
Société Générale
Jiali XU is a Quantitative analyst of Operational Risk Modeling at Société Générale. After graduating from the Ecole des Ponts Paristech (ENPC) in 2014, Jiali joined Société Générale in 2014 and serves as a quantitative analyst supporting Operational Risk Modeling. His current research projects are in the areas of applications of random matrix theory in risk measurement.
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Articles by Jiali Xu
The benefit of using random matrix theory to fit high-dimensional t-copulas
This paper uses simulation studies and an example of operational risk modeling to show the necessity and benefit of using RMT to fit high-dimensional t-copulas in risk modeling.
Random matrix theory applied to correlations in operational risk
This paper focuses on the distribution of correlations among aggregate operational risk losses.