| Le foucaldien | |
| Algorithmic Finance and (Limits to) Governmentality: On Foucault and High-Frequency Trading | |
| Christian Borch1  | |
| [1] Department of Management, Politics and Philosophy, Copenhagen Business School; | |
| 关键词: algorithmic finance; caillois; canetti; foucault; governmentality; high-frequency trading; power; subjectivity; | |
| DOI : 10.16995/lefou.28 | |
| 来源: DOAJ | |
【 摘 要 】
In this essay I discuss algorithmic finance, specifically the use of fully automated trading, including high-frequency trading, in the light of Michel Foucault's notion of governmentality. I argue that a governmentality perspective offers a fruitful way of understanding particular aspects of high-frequency trading, such as how algorithms are designed to govern other market participants' anticipations of market dynamics. However, I also argue that, to fully understand the realm of algorithmic finance and high-frequency trading, it is important to supplement a governmentality approach with an analytical lexicon which is not primarily centred on productive forms of power. Specifically, I suggest that, according to media discourses on high-frequency trading, algorithmic finance often works in ways that are better grasped through, e.g. Elias Canetti's work on predatory power and Roger Caillois's work on mimesis.
【 授权许可】
Unknown