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Stéphane Crépey

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  • Jul 25, 2024 | risk.net | Stéphane Crépey |Botao Li |Hoang Nguyen |Hoàng Nguyên |Hoàng Nguyễn |Bouazza Saadeddine

    Tweet Facebook LinkedIn Save this article Send to Print this page  CLICK HERE TO DOWNLOAD PDFStéphane Crépey, Bouazza Saadeddine, Botao Li and Hoang Nguyen present a framework for computing credit valuation adjustment (CVA) sensitivities, hedging the CVA and assessing CVA risk, using probabilistic machine learning as a refined regression tool applied to simulated data, which can be validated by low-cost companion Monte Carlo procedures.

  • Jan 24, 2024 | arxiv.org | Stéphane Crépey |Botao Li

    arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

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