Delta force: option pricing with differential machine learning
Magnus Grønnegaard Frandsen,
Tobias Cramer Pedersen and
Rolf Poulsen ()
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Magnus Grønnegaard Frandsen: University of Copenhagen
Tobias Cramer Pedersen: University of Copenhagen
Rolf Poulsen: University of Copenhagen
Digital Finance, 2022, vol. 4, issue 1, No 1, 15 pages
Abstract:
Abstract We show how and why to use a financially meaningful differential regularization method when pricing options by Monte Carlo simulation, be that in polynomial regression or neural network context.
Keywords: Differential machine learning; option pricing (search for similar items in EconPapers)
JEL-codes: C63 G13 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:digfin:v:4:y:2022:i:1:d:10.1007_s42521-021-00041-7
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DOI: 10.1007/s42521-021-00041-7
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