Statistical Inference for Stochastic Processes, volume 27, issue 2, pages 407-425
A pseudo-likelihood estimator of the Ornstein–Uhlenbeck parameters from suprema observations
CHRISTOPHETTE BLANCHET-SCALLIET
1
,
Diana Dorobantu
2
,
Benoit Nieto
1
2
Laboratoire de Sciences Actuarielle et Financière (UR SAF), Université Claude Bernard Lyon 1, Lyon, France
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Publication type: Journal Article
Publication date: 2024-02-26
scimago Q3
SJR: 0.363
CiteScore: 1.3
Impact factor: 0.7
ISSN: 13870874, 15729311
Statistics and Probability
Abstract
In this paper, we propose an estimator for the Ornstein–Uhlenbeck parameters based on observations of its supremum. We derive an analytic expression for the supremum density. Making use of the pseudo-likelihood method based on the supremum density, our estimator is constructed as the maximal argument of this function. Using weak-dependency results, we prove some statistical properties on the estimator such as consistency and asymptotic normality. Finally, we apply our estimator to simulated and real data.
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