Plunging stocks have triggered rarely used 'circuit breakers’ that temporarily halt trading. A finance scholar explains what they are and the costs of shutting down markets.
Academic rigor, journalistic flair
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Once algorithms go live on markets, they start behaving in ways that programmers could not have foreseen.
On October 23 Google announced that it built a quantum computer thousands of times faster than classic computers. This could have immense impacts on finance, cryptography and other fields.
Thanks to new trading technology, sudden steep falls may become more common. A new program uses the principles of fluid dynamics to try to predict crashes before they happen.
Automated predatory trading has the potential to bring the world economy to its knees. So why is reform so leisurely?
New research suggests mini-crashes, in which the price of a single stock or commodity temporarily goes haywire, may be unstoppable.
Government agencies are investigating how to start regulating trading algorithms. But algorithms are ubiquitous and we need to make sure we don't stamp out good ones.
Top contributors
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Senior Lecturer in Finance, University of Technology Sydney
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Ph.D. Candidate in Mathematics, University of Michigan
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Professor of Mathematics, University of Michigan
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Professor of Finance, University of Technology Sydney
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Enseignant-chercheur en Finance quantitative à l’ESILV et à l'EMLV, membre du De Vinci Research Center, Pôle Léonard de Vinci – UGEI
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Senior Lecturer, Sheffield Hallam University
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Professor of Industrial & Operations Engineering, University of Michigan
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Ph.D. Candidate in Industrial and Operations Engineering, University of Michigan
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Professor of Finance, Pôle Léonard de Vinci – UGEI
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Professor of Economic Sociology and Social Theory, Copenhagen Business School
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Assistant Department Chair and Professor of Finance, West Virginia University
