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Scaling Limits of Processes with Fast Nonlinear Mean Reversion

Published 30 Oct 2017 in math.PR | (1710.11202v3)

Abstract: We derive scaling limits for integral functionals of It^o processes with fast nonlinear mean-reversion speed. We show that in these limits, the fast mean-reverting process is "averaged out" by integrating against its invariant measure. These convergence results hold uniformly in probability and, under mild integrability conditions, also in $\mathcal{S}p$. They are a crucial building block for the analysis of portfolio choice models with small superlinear transaction costs, carried out in the companion paper of the present study.

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