Asymptotics for the Generalized Autoregressive Conditional Duration Model

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Date

4 juillet 2023

Type de document
Périmètre
Identifiant
  • 2307.01779
Collection

arXiv

Organisation

Cornell University




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Giuseppe Cavaliere et al., « Asymptotics for the Generalized Autoregressive Conditional Duration Model », arXiv - économie


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Engle and Russell (1998, Econometrica, 66:1127--1162) apply results from the GARCH literature to prove consistency and asymptotic normality of the (exponential) QMLE for the generalized autoregressive conditional duration (ACD) model, the so-called ACD(1,1), under the assumption of strict stationarity and ergodicity. The GARCH results, however, do not account for the fact that the number of durations over a given observation period is random. Thus, in contrast with Engle and Russell (1998), we show that strict stationarity and ergodicity alone are not sufficient for consistency and asymptotic normality, and provide additional sufficient conditions to account for the random number of durations. In particular, we argue that the durations need to satisfy the stronger requirement that they have finite mean.

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