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Multi-Purpose Binomial Model: Fitting all Moments to the Underlying Geometric Brownian Motion

Y. S. Kim, S. Stoyanov, S. Rachev and Frank Fabozzi ()

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Abstract: We construct a binomial tree model fitting all moments to the approximated geometric Brownian motion. Our construction generalizes the classical Cox-Ross-Rubinstein, the Jarrow-Rudd, and the Tian binomial tree models. The new binomial model is used to resolve a discontinuity problem in option pricing.

Date: 2016-12
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Citations: View citations in EconPapers (15)

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http://arxiv.org/pdf/1612.01979 Latest version (application/pdf)

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Journal Article: Multi-purpose binomial model: Fitting all moments to the underlying geometric Brownian motion (2016) Downloads
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