Approximation of BSDE with Hidden Forward Equation and Unknown Volatility
Statistics Theory
2020-10-16 v1 Statistics Theory
Abstract
In the present paper the problem of approximating the solution of BSDE is considered in the case where the solution of forward equation is observed in the presence of small Gaussian noise. We suppose that the volatility of the forward equation depends on an unknown parameter. This approximation is made in several steps. First we obtain a preliminary estimator of the unknown parameter, then using Kalman-Bucy filtration equations and Fisher-score device we construct an one-step MLE-process of this parameter. The solution of BSDE is approximated by means of the solution of PDE and the One-step MLE-process. The error of approximation is described in different metrics.
Cite
@article{arxiv.2010.07618,
title = {Approximation of BSDE with Hidden Forward Equation and Unknown Volatility},
author = {Oleg V. Chernoyarov and Yury A. Kutoyants},
journal= {arXiv preprint arXiv:2010.07618},
year = {2020}
}
Comments
22 pages