• Medientyp: E-Book
  • Titel: Closed-Form Likelihood Expansions for Multivariate Diffusions
  • Beteiligte: Ait-Sahalia, Yacine [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, [2021]
  • Erschienen in: NBER Working Paper ; No. w8956
  • Umfang: 1 Online-Ressource (37 p)
  • Sprache: Englisch
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 2002 erstellt
  • Beschreibung: This paper provides closed-form expansions for the transition density and likelihood function of arbitrary multivariate diffusions. The expansions are based on a Hermite series, whose coefficients are calculated explicitly by exploiting the special structure afforded by the diffusion hypothesis. Because the transition function for most diffusion models is not known explicitly, the expansions of this paper can help make maximum-likelihood a practical estimation method for discretely sampled multivariate diffusions. Examples of interest in financial econometrics are included
  • Zugangsstatus: Freier Zugang