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Parameter estimation for a subcritical affine two factor model

For an affine two factor model, we study the asymptotic properties of the maximum likelihood and least squares estimators of some appearing parameters in the so-called subcritical (ergodic) case based on continuous time observations. We prove strong consistency and asymptotic normality of the estimators in question.
Year of publication:
2013-02
Authors: Barczy, Matyas ; Doering, Leif ; Li, Zenghu ; Pap, Gyula
Institutions: arXiv.org
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application/pdf
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Type of publication: Book / Working Paper
Notes:
Published in Journal of Statistical Planning and Inference 151-152, 2014, 37-59
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Persistent link: https://www.econbiz.de/10010783591
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