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Generalized Moment Tests for Autoregressive Conditional Duration Models

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  • Yi-Ting Chen
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    Abstract

    Autoregressive conditional duration�(ACD) models have been shown to be important for several applications in empirical finance. In this paper, we consider a set of generalized moment tests for the conditional mean specifications, the IIDness assumption of the error terms, and the distribution assumptions of the error terms in the context of ACD models. These generalized tests are also applicable to other multiplicative error models. We demonstrate that these tests are useful for unifying existing parametric tests, correcting the estimation effect ignored by some popular tests, and generating new tests for ACD models. Therefore, they can be applied to evaluate ACD models in a more complete way. This study also includes a Monte Carlo simulation and an empirical example to assess the performance of these tests. (JEL: C52, G15) Copyright The Author 2010. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org, Oxford University Press.

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    Bibliographic Info

    Article provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.

    Volume (Year): 8 (2010)
    Issue (Month): 3 (Summer)
    Pages: 345-391

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    Handle: RePEc:oup:jfinec:v:8:y:2010:i:3:p:345-391

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