• Media type: E-Book
  • Title: XVA Estimates with Empirical Martingale Simulation
  • Contributor: Renzitti, Stefano [Author]; Bastani, Pouya [Author]; Sivorot, Steven [Author]
  • Published: [S.l.]: SSRN, [2021]
  • Extent: 1 Online-Ressource (11 p)
  • Language: English
  • DOI: 10.2139/ssrn.3948228
  • Identifier:
  • Origination:
  • Footnote: In: Wilmott Magazine, Forthcoming
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 28, 2021 erstellt
  • Description: We explore simple finite sample adjustments to simulated spot FX rates, zero bonds, forward IBORs and the numeraire to ensure the martingale asset pricing property of linear IR and FX products holds exactly with a finite number of Monte Carlo simulations. The impact on CVA, DVA, and CVA-DVA level and sensitivity Monte Carlo estimates for portfolios of uncollateralized swaps is measured for both local and global models, forward and risk neutral measures, when using pseudo and quasi random numbers. Results, for the most part, are promising/reassuring, with the largest accuracy gains obtained for in-the-money portfolios and the CVA-DVA metric
  • Access State: Open Access