Is there any common knowledge news in the Euro/Dollar market?
Walid Ben Omrane () and
Andréas Heinen
International Review of Economics & Finance, 2009, vol. 18, issue 4, 656-670
Abstract:
This paper analyzes the effect of nine categories of news announcements on the quoting activity of individual foreign exchange (FX) dealers on the Euro/Dollar exchange rate from May to October 2001. We use the double autoregressive conditional Poisson model (DACP), which is designed for time series of count data, which can be both under- or overdispersed. We find that dealers' quoting activity reacts differently to the same announcements, some increasing their activity, whilst others decrease it in response to the same news. Based on the taxonomy of Evans [Evans, M. (2002), Fx trading and exchange rate dynamics. Journal of Finance 57(6), 2405-2447.], we classify our news categories in two groups: common knowledge (CK) and non-common knowledge (NCK) news, according to their effects on quoting activity and price changes. Finally we show that scheduled news announcements are NCK news, and there is no evidence for the existence of CK news amongst our announcements, which means that dealers hardly get a consensus in interpreting the news content.
Keywords: Foreign; exchange; Market; microstructure; Time; series; Count; data (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059-0560(09)00005-7
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:18:y:2009:i:4:p:656-670
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().