The Lognormal Autoregressive Conditional Duration (LNACD) Model and a Comparison with an Alternative ACD Models

The Lognormal Autoregressive Conditional Duration (LNACD) Model and a Comparison with an Alternative ACD Models
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Total Pages : 28
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ISBN-10 : OCLC:1308887278
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Book Synopsis The Lognormal Autoregressive Conditional Duration (LNACD) Model and a Comparison with an Alternative ACD Models by : Yongdeng Xu

Download or read book The Lognormal Autoregressive Conditional Duration (LNACD) Model and a Comparison with an Alternative ACD Models written by Yongdeng Xu and published by . This book was released on 2014 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engle and Russell (1998) introduce the autoregressive conditional duration (ACD) model to model the dynamics of financial duration. It is recognized that the ACD model can be specified in ARMA form. We show that as long as the innovations of the ACD model follows a lognormal distribution, the equivalent ARMA model will be Gaussian distributed. Motivated by this fact, we develop a lognormal autoregressive conditional duration (LNACD) model. The LNACD model permits a humped-shaped hazard function with one free shape parameter, which has a computational advantage compared to the existing ACD specification in the literature. We compare the performance of the LNACD model with alternative specification of ACD model. The empirical results show that the LNACD model is always superior to Exponential and Weibull ACD models and its performance is similar to the Burr and Generalized Gamma ACD models.

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