Intraday timing of AUD intervention by the Reserve Bank of Australia: Evidence from microstructural analyses
Peter Andersen and
Suk-Joong Kim ()
Journal of International Financial Markets, Institutions and Money, 2011, vol. 21, issue 2, 277-295
Abstract:
We estimate the approximate intraday timing of interventions by the Reserve Bank of Australia (RBA) in the onshore and offshore USD/AUD markets for the period of 1996-2006. We use a more accurate measure of intervention that excludes transactions with the government as well as high frequency tick-by-tick quote data on the USD/AUD exchange rate. The RBA's interventions are detected in the late Sydney onshore period, early European market, and again in the early New York market hours. Furthermore, evidence suggests that the RBA chooses those hours of higher volume, lower volatility and lower bid/ask spreads to conduct its non-intervention transactions. These results have important implications not only for institutions and corporations with a need to transact in the market, but also for hedge funds and other traders that may profit by trading against the RBA.
Keywords: RBA; intervention; times; Intraday; volatility; Volume; Bid-ask; spread (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042-4431(10)00082-X
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:intfin:v:21:y:2011:i:2:p:277-295
Access Statistics for this article
Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely
More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().