A Nonparametric ACD Model

Antonio Cosma () and Fausto Galli

LSF Research Working Paper Series from Luxembourg School of Finance, University of Luxembourg

Abstract: We carry out a nonparametric analysis of financial durations. We make use of an existing algorithm to describe nonparametrically the dynamics of the process in terms of its lagged realizations and of a latent variable, its conditional mean. The devices needed to effectively apply the algorithm to our dataset are presented. On simulated data, the nonparametric procedure yields better estimates than the ones delivered by an incorrectly specified parametric method. On a real dataset, the nonparametric analysis can convey information on the nature of the data generating process that may not be captured by the parametric specification. In this view, the nonparametric method proposed can be a valuable preliminary analysis able to suggest the choice of a “good” parametric specification, or a complement of a parametric estimation.

Keywords: nonparametric; ACD; trade durations; local-linear. (search for similar items in EconPapers)
JEL-codes: C14 C41 G10 (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: A non parametric ACD model (2014)
Working Paper: A nonparametric ACD model (2006)
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