• Medientyp: E-Artikel
  • Titel: Joshi's split tree for option pricing
  • Beteiligte: Leduc, Guillaume [Verfasser:in]; Hot, Merima Nurkanovic [Verfasser:in]
  • Erschienen: Basel: MDPI, 2020
  • Sprache: Englisch
  • DOI: https://doi.org/10.3390/risks8030081
  • ISSN: 2227-9091
  • Schlagwörter: Black-Scholes ; error analysis for non-self-similar binomial trees ; binomial option pricing ; American options
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  • Beschreibung: In a thorough study of binomial trees, Joshi introduced the split tree as a two-phase binomial tree designed to minimize oscillations, and demonstrated empirically its outstanding performance when applied to pricing American put options. Here we introduce a "flexible" version of Joshi's tree, and develop the corresponding convergence theory in the European case: we find a closed form formula for the coefficients of 1/n and 1/n3/2 in the expansion of the error. Then we define several optimized versions of the tree, and find closed form formulae for the parameters of these optimal variants. In a numerical study, we found that in the American case, an optimized variant of the tree significantly improved the performance of Joshi's original split tree.
  • Zugangsstatus: Freier Zugang
  • Rechte-/Nutzungshinweise: Namensnennung (CC BY)