• Media type: E-Book
  • Title: Deep xVA Solver – A Neural Network Based Counterparty Credit Risk Management Framework
  • Contributor: Gnoatto, Alessandro [Author]; Reisinger, Christoph [Other]; Picarelli, Athena [Other]
  • Published: [S.l.]: SSRN, [2020]
  • Extent: 1 Online-Ressource (25 p)
  • Language: English
  • DOI: 10.2139/ssrn.3594076
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 6, 2020 erstellt
  • Description: In this paper, we present a novel computational framework for portfolio-wide risk management problems where the presence of a potentially large number of risk factors makes traditional numerical techniques ineffective.The new method utilises a coupled system of BSDEs for the valuation adjustments (xVA) and solves these by a recursive application of a neural network based BSDE solver. This not only makes the computation of xVA for high-dimensional problems feasible, but also produces hedge ratios and dynamic risk measures for xVA, and allows simulations of the collateral account
  • Access State: Open Access