Another Correction. Error estimates for Binomial approximations of game options
Yan Dolinsky, Yuri Kifer
TL;DR
This paper investigates error estimates when using binomial approximations for pricing game options, providing theoretical bounds to improve accuracy in financial modeling.
Contribution
It introduces new error estimation techniques specifically tailored for binomial approximations of game options, enhancing existing methods.
Findings
Derived explicit error bounds for binomial approximations
Improved accuracy in option pricing models
Theoretical validation of approximation methods
Abstract
The Annals of Applied Probability 16 (2006) 984--1033 [URL: http://projecteuclid.org/euclid.aoap/1151592257]
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