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...
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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2017/8690491 |
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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 |