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Weak consistency of the Euler method for numerically solving stochastic differential equations with discontinuous coefficients
Journal article   Open access   Peer reviewed

Weak consistency of the Euler method for numerically solving stochastic differential equations with discontinuous coefficients

K. S Chan and O Stramer
Stochastic processes and their applications, Vol.76(1), pp.33-44
1998
DOI: 10.1016/S0304-4149(98)00020-9
url
https://doi.org/10.1016/S0304-4149(98)00020-9View
Published (Version of record) Open Access

Abstract

We prove that, under appropriate conditions, the sequence of approximate solutions constructed according to the Euler scheme converges weakly to the (unique) solution of a stochastic differential equation with discontinuous coefficients. We also obtain a sufficient condition for the existence of a solution to a stochastic differential equation with discontinuous coefficients. These results are then applied to justify the technique of simulating continuous-time threshold autoregressive moving-average processes via the Euler scheme.
Mathematics Exact sciences and technology Probability and statistics Probability theory and stochastic processes Sciences and techniques of general use Stochastic analysis

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