Article ID Journal Published Year Pages File Type
417733 Computational Statistics & Data Analysis 2010 13 Pages PDF
Abstract

The effect of public news announcements on dealers’ quoting activity is analyzed with the multivariate double autoregressive conditional Poisson model. Quoting activity is measured by the frequency of price revisions in the Euro/Dollar foreign exchange market. The multivariate double autoregressive conditional Poisson model is designed for time series of count data. It is based on the double Poisson distribution, which can be both over- and underdispersed. The main findings are first a significant interaction between dealers’ quoting activity, which confirms hot potato trading. Second, news announcements have a different impact on the quoting activity of different banks. Third, impulse–response functions to news announcements show the dynamic nature of the reaction to these news releases.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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