Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-vfjqv Total loading time: 0 Render date: 2024-04-26T06:02:00.026Z Has data issue: false hasContentIssue false

9 - Foreign exchange market microstructure

Published online by Cambridge University Press:  05 September 2012

Lucio Sarno
Affiliation:
University of Warwick
Mark P. Taylor
Affiliation:
University of Warwick
Get access

Summary

A stylised fact, now routinely recorded in the empirical literature on exchange rate determination, is that, while macroeconomic fundamentals – variables such as relative money supply or relative velocity of circulation, for example – appear to be important determinants of exchange rate movements over relatively long horizons and in economies experiencing pathologically large movements in such fundamentals (such as during a hyperinflation), there seem to be substantial and often persistent movements in exchange rates which are largely unexplained by macroeconomic fundamentals (Frankel and Rose, 1995; Taylor, 1995; Flood and Taylor, 1996). The recent and emerging literature on foreign exchange market microstructure therefore reflects, in some measure, an attempt by researchers in international finance to understand the mechanisms generating these deviations from macroeconomic fundamentals which appear to characterise exchange rate movements (Taylor, 1995; Flood and Taylor, 1996; Lyons, 1999). At the same time, the microstructure literature is also concerned with other issues which are seen to be of interest in their own right by international financial economists, such as the transmission of information between market participants, the behaviour of market agents, the relationship between information flows, the importance of order flow, the heterogeneity of agents' expectations and the implications of such heterogeneity for trading volume and exchange rate volatility.

The approach followed by the microstructure literature is often quite different from the conventional macroeconomic approach to exchange rate modelling in both its assumptions and its methodology.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×