Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung

Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts—executed manually or through pre-coded rules—firms now build models that generate the strategies themselves. These are not just tools but trading automatons: semi-independent systems designed to learn from markets and act on their own. Drawing on over a decade of fieldwork in financial markets, Christian Borch offers a rare inside look at how these systems are built, the risks they pose, and how they challenge our understanding of markets and decision-making. As trading automatons grow more complex and opaque—even to their designers—new sociological questions emerge: What happens when machines become the primary agents in markets? And how should we understand economic action when human judgment is no longer at the center? Trading Beyond Understanding is a powerful investigation of machine agency, market transformation, and the shifting boundaries between technological systems and social life.

Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts—executed manually or through pre-coded rules—firms now build models that generate the strategies themselves. These are not just tools but trading automatons: semi-independent systems designed to learn from markets and act on their own. Drawing on over a decade of fieldwork in financial markets, Christian Borch offers a rare inside look at how these systems are built, the risks they pose, and how they challenge our understanding of markets and decision-making. As trading automatons grow more complex and opaque—even to their designers—new sociological questions emerge: What happens when machines become the primary agents in markets? And how should we understand economic action when human judgment is no longer at the center? Trading Beyond Understanding is a powerful investigation of machine agency, market transformation, and the shifting boundaries between technological systems and social life.

Über den Autor
Christian Borch is Professor of Sociology at the University of Copenhagen. He is the author of The Politics of Crowds (2012) and Social Avalanche (2020), and co-editor of The Oxford Handbook of the Sociology of Machine Learning (2025).
Inhaltsverzeichnis
1. Two Tales of the City
2. Human Action at a Distance: First-Generation Automated Trading Systems
3. Creating Trading Automatons: The Rise of Second-Generation Systems
4. Risk, Reliability, Regulation
5. Explaining Automatons' Action and Interaction
6. Automatons Unbound: Implications for Sociology and Beyond
Acknowledgments
Appendix: Studying Financiers in the Era of Automation and Machine Learning
Notes
References
Index
Details
Erscheinungsjahr: 2026
Fachbereich: Betriebswirtschaft
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Reihe: Currencies: New Thinking for Financial Times
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781503645523
ISBN-10: 1503645525
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Borch, Christian
Hersteller: Stanford University Press
Currencies: New Thinking for Financial Times
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 229 x 153 x 19 mm
Von/Mit: Christian Borch
Erscheinungsdatum: 10.03.2026
Gewicht: 0,36 kg
Artikel-ID: 134561458

Ähnliche Produkte