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Market devices and structural dependency: The origins and development of ‘dark pools’

Published online by Cambridge University Press:  09 November 2023

Donald MacKenzie
Donald MacKenzie*
Affiliation:
University of Edinburgh, UK
*
Corresponding author: Donald MacKenzie, School of Social and Political Science, University of Edinburgh, Chrystal Macmillan Building, Edinburgh, EH8 9LD, Scotland. Email: DonaldMacKenziePA@ed.ac.uk.
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Abstract

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‘Dark pools’ are private, electronic share-trading systems in which participants cannot see each other's buy and sell orders. This article shows that the development of these material ‘market devices’ was strongly shaped by the structural dependency of their intended clientele (fund-management firms) on the big investment banks, particularly the indirectly monetary mechanism of dependency known in the US as ‘soft dollars’. The article's underlying argument is that (a) the sociological analysis of financial markets requires bringing together the focus on materiality of, for example, actor-network theory with an emphasis on structural advantage such as that found in field theory; and (b) that both actor-network and field theory approaches could be strengthened by a stronger focus on mundane but important monetary mechanisms such as ‘soft dollars’.

Keywords

Dark poolsmarket devicesfield theoryactor-network theorysocial studies of finance
Type
Article
Information
Finance and Society , Volume 5 , Issue 1 , 2019 , pp. 1 - 19
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-No Derivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits noncommercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© 2019 The Author(s)

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