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Weighted least-squares estimation for the subcritical Heston process

Published online by Cambridge University Press:  26 July 2018

M. du Roy de Chaumaray*
Affiliation:
Institut de Mathématiques de Bordeaux
*
* Current address: ENSAI, Campus de Ker Lann, Rue Blaise Pascal, BP 37203, 35172 Bruz Cedex, France. Email address: [email protected]

Abstract

We simultaneously estimate the four parameters of a subcritical Heston process. We do not restrict ourselves to the case where the stochastic volatility process never reaches zero. In order to avoid the use of unmanageable stopping times and a natural but intractable estimator, we use a weighted least-squares estimator. We establish strong consistency and asymptotic normality for this estimator. Numerical simulations are also provided, illustrating the favorable performance of our estimation procedure.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2018 

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