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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/3349

Google™ Scholar. Others By: Rodríguez-Poo, Juan M. - Veredas, David - Espasa, Antoni
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Title: Semiparametric estimation for financial durations
Author(s): Rodríguez-Poo, Juan M.
Veredas, David
Espasa, Antoni [espasa]
Publisher: Springer
Issued date: 2007
Citation: Bauwens, Luc; Pohlmeier, Winfried; Veredas, David. (ed.). High Frequency financial econometrics. Berlin: Physica-Verlag HD, 2007, p. 225-251 (Studies in Empirical Economics)
URI: http://hdl.handle.net/10016/3349
ISBN: 978-3-7908-1992-2
DOI: 10.1007/978-3-7908-1992-2_10
Abstract: We propose a semiparametric model for the analysis of time series of durations that show autocorrelatins and deterministic patterns. Estimation rests on generalized profile likelihood, which allows for joint estimation of the parametric- an ACD type of model- and nonparametric components, providing consistent and asymptotically normal estimators. It is possible to derive the explicit form for the nonparametric estimator, simplifying estimation to a standard maximum likelihood problem.
Review: PeerReviewed
Publisher version: http://www.springerlink.com/content/nv881u6157pqm8g1/
Keywords: Generalized profile likelihood
ACD model
Seasonality
JEL Classification: C14
C15
C22
C32
Appears in Collections:DES - Capítulos de Monografías
Economists Online

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