Using the autoregressive conditional duration model to analyse the process of default contagion
AbstractCredit events are not independent, and the contagion effect is very common. The seriousness of the contagion effect depends on the change in the default contagion duration before and after credit events. This study uses the Autoregressive Conditional Duration (ACD) model to capture the durations of a series of credit events and to study the characteristics of a default duration series. The empirical samples are listed and Over-The-Counter (OTC) companies in Taiwan. The Moving Block Bootstrap (MBB) in Liu and Singh (1992) is employed to copy the sample data. The sample period is from October 1982 to December 2007. The results show that, in the entire sample and subsamples of the electronic information industry and construction industry, the default duration series demonstrates the conditional autocorrelation and cluster effect. The ACD model helps capture the contagion effect of credit events.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Applied Financial Economics.
Volume (Year): 22 (2012)
Issue (Month): 13 (July)
Contact details of provider:
Web page: http://www.tandf.co.uk/journals/routledge/09603107.html
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.