Weighted least squares estimation for the subcritical Heston process
Probability
2018-09-05 v2 Statistics Theory
Statistics Theory
Abstract
We simultaneously estimate the four parameters of a subcritical Heston process. We do not restrict ourself to the case where the stochastic volatility process never reaches zero. In order to avoid the use of unmanageable stopping times and natural but intractable estimator, we propose to make use of a weighted least squares estimator. We establish strong consistency and asymptotic normality for this estimator. Numerical simulations are also provided, illustrating the good performances of our estimation procedure.
Cite
@article{arxiv.1509.09167,
title = {Weighted least squares estimation for the subcritical Heston process},
author = {Marie du Roy de Chaumaray},
journal= {arXiv preprint arXiv:1509.09167},
year = {2018}
}