• Medientyp: E-Book
  • Titel: A Regression-Based Numerical Method for Forward-Backward Stochastic Differential Equations
  • Beteiligte: Ding, Deng [VerfasserIn]; Liu, Yiqi [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2014]
  • Umfang: 1 Online-Ressource (14 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.2513836
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 23, 2014 erstellt
  • Beschreibung: We introduce a new class of basic functions based on characteristic functions to approximate two kinds of conditional expectations. we give the proofs and the error analysis of the approximations. In terms of such approximations, we employ a theta-discretization of time integrands for numerical solutions of forward-backward stochastic differential equations, and use Least-squares Monte Carlo simulations based on the basic functions. Numerical experiments are employed to show the algorithm available, and an empirical formula is pointed out for more general application
  • Zugangsstatus: Freier Zugang