Gram-Charlier Processes and Applications to Option Pricing

A Gram-Charlier distribution has a density that is a polynomial times a normal density. For option pricing this retains the tractability of the normal distribution while allowing nonzero skewness and excess kurtosis. Properties of the Gram-Charlier distributions are derived, leading to the definitio...

Full description

Saved in:
Bibliographic Details
Main Authors: Jean-Pierre Chateau, Daniel Dufresne
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2017/8690491
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832553694064803840
author Jean-Pierre Chateau
Daniel Dufresne
author_facet Jean-Pierre Chateau
Daniel Dufresne
author_sort Jean-Pierre Chateau
collection DOAJ
description A Gram-Charlier distribution has a density that is a polynomial times a normal density. For option pricing this retains the tractability of the normal distribution while allowing nonzero skewness and excess kurtosis. Properties of the Gram-Charlier distributions are derived, leading to the definition of a process with independent Gram-Charlier increments, as well as formulas for option prices and their sensitivities. A procedure for simulating Gram-Charlier distributions and processes is given. Numerical illustrations show the effect of skewness and kurtosis on option prices.
format Article
id doaj-art-8679f47c23bc42838642767d8548ed62
institution Kabale University
issn 1687-952X
1687-9538
language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series Journal of Probability and Statistics
spelling doaj-art-8679f47c23bc42838642767d8548ed622025-02-03T05:53:30ZengWileyJournal of Probability and Statistics1687-952X1687-95382017-01-01201710.1155/2017/86904918690491Gram-Charlier Processes and Applications to Option PricingJean-Pierre Chateau0Daniel Dufresne1Faculty of Business Administration, University of Macau, MacauMontreal, QC, CanadaA Gram-Charlier distribution has a density that is a polynomial times a normal density. For option pricing this retains the tractability of the normal distribution while allowing nonzero skewness and excess kurtosis. Properties of the Gram-Charlier distributions are derived, leading to the definition of a process with independent Gram-Charlier increments, as well as formulas for option prices and their sensitivities. A procedure for simulating Gram-Charlier distributions and processes is given. Numerical illustrations show the effect of skewness and kurtosis on option prices.http://dx.doi.org/10.1155/2017/8690491
spellingShingle Jean-Pierre Chateau
Daniel Dufresne
Gram-Charlier Processes and Applications to Option Pricing
Journal of Probability and Statistics
title Gram-Charlier Processes and Applications to Option Pricing
title_full Gram-Charlier Processes and Applications to Option Pricing
title_fullStr Gram-Charlier Processes and Applications to Option Pricing
title_full_unstemmed Gram-Charlier Processes and Applications to Option Pricing
title_short Gram-Charlier Processes and Applications to Option Pricing
title_sort gram charlier processes and applications to option pricing
url http://dx.doi.org/10.1155/2017/8690491
work_keys_str_mv AT jeanpierrechateau gramcharlierprocessesandapplicationstooptionpricing
AT danieldufresne gramcharlierprocessesandapplicationstooptionpricing