Trading Beyond Understanding

Machine Learning, Risk, and Markets

Christian Borch (Autor)

Buch | Softcover

256 Seiten

2026
Stanford University Press (Verlag)
978-1-5036-4552-3 (ISBN)

Infos

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.

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).

Produkt-Details

• Erscheint lt. Verlag: 10.3.2026
• Reihe/Serie: Currencies: New Thinking for Financial Times
• Zusatzinfo: 3 illustrations - 1 table, 3 figures
• Verlagsort: Palo Alto
• Sprache: englisch
• Maße: 152 x 229 mm
• Themenwelt: Naturwissenschaften
• Themenwelt: Sozialwissenschaften ► Soziologie ► Allgemeines / Lexika
• Themenwelt: Wirtschaft ► Volkswirtschaftslehre ► Wirtschaftspolitik
• ISBN-10: 1-5036-4552-5 / 1503645525
• ISBN-13: 978-1-5036-4552-3 / 9781503645523
• Zustand: Neuware