Valuing American options using fast recursive projections
Antonio Cosma (),
Stefano Galluccio,
Paola Pederzoli and
Olivier Scaillet
Additional contact information
Stefano Galluccio: Incipit Capital, London
Paola Pederzoli: University of Geneva and Swiss Finance Institute
DEM Discussion Paper Series from Department of Economics at the University of Luxembourg
Abstract:
We introduce a fast and widely applicable numerical pricing method that uses recursive projections. We characterize its convergence speed. We find that the early exercise boundary of an American call option on a discrete dividend paying stock is higher under the Merton and Heston models than under the Black-Scholes model, as opposed to the continuous dividend case. A large database of call options on stocks with quarterly dividends shows that adding stochastic volatility and jumps to the Black-Scholes benchmark reduces the amount foregone by call holders failing to optimally exercise by 25%. Transaction fees cannot fully explain the suboptimal behavior.
Keywords: Option pricing; American option; Bermudan option; discrete transform; discrete dividend paying stock; suboptimal non-exercise; numerical techniques (search for similar items in EconPapers)
JEL-codes: C63 G13 (search for similar items in EconPapers)
Date: 2015
New Economics Papers: this item is included in nep-cmp and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://hdl.handle.net/10993/25355 (application/pdf)
Related works:
Working Paper: Valuing American options using fast recursive projections (2016) 
Working Paper: Valuing American Options Using Fast Recursive Projections (2012) 
Working Paper: Valuing American options using fast recursive projections (2012) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:luc:wpaper:15-20
Access Statistics for this paper
More papers in DEM Discussion Paper Series from Department of Economics at the University of Luxembourg Contact information at EDIRC.
Bibliographic data for series maintained by Marina Legrand ().