2018•Oxford University Press eBooksRequires access

Algorithmic Trading and Market Regulation

Yesha Yadav

Open publisher page 4 citations

Abstract

This chapter examines the interaction between automated, algorithmic markets and fundamental legal concepts in securities regulation, an area to which policy-makers have devoted little attention. Recent advances in communication technology have facilitated the rapid rise of algorithmic trading and automated market mechanics. This chapter surveys eight framework notions critical to regulation and discusses how these might apply in an automated marketplace. Specifically, it examines reasonableness; strict liability; foreseeability; contribution; scienter; damage and harm; evidence and proof; and disclosure and information dissemination. This analysis reveals how deeply-held assumptions guiding regulatory law sit uneasily in today’s complicated and fast-paced markets.

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What this paper is about

This chapter examines the interaction between automated, algorithmic markets and fundamental legal concepts in securities regulation, an area to which policy-makers have devoted little attention. Recent advances in communication technology have facilitated the rapid rise of algorithmic trading and automated market mechanics. This chapter surveys eight framework notions critical to regulation and discusses how these might apply in an automated marketplace. Specifically, it examines reasonableness; strict liability; foreseeability; contribution; scienter; damage and harm; evidence and proof; and disclosure and information dissemination. This analysis reveals how deeply-held assumptions guiding regulatory law sit uneasily in today’s complicated and fast-paced markets.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This chapter examines the interaction between automated, algorithmic markets and fundamental legal concepts in securities regulation, an area to which policy-makers have devoted little attention. Recent advances in communication technology have facilitated the rapid rise of algorithmic trading and automated market mechanics. This chapter surveys eight framework notions critical to regulation and discusses how these might apply in an automated marketplace. Specifically, it examines reasonableness; strict liability; foreseeability; contribution; scienter; damage and harm; evidence and proof; and disclosure and information dissemination. This analysis reveals how deeply-held assumptions guiding regulatory law sit uneasily in today’s complicated and fast-paced markets.

Key concepts: Harm, Liability, Law and economics, Economics, Business, Computer science, Political science, Law

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