Algorithmic Trading and Market Regulation

Yesha Yadav
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引用次数: 2

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.
算法交易和市场监管
本章考察了自动化、算法市场和证券监管中基本法律概念之间的相互作用,这是政策制定者很少关注的领域。最近通信技术的进步促进了算法交易和自动化市场机制的迅速兴起。本章调查了对监管至关重要的八个框架概念,并讨论了这些概念如何适用于自动化市场。具体来说,它检验了合理性;严格责任;预见性;的贡献;明知;损害和伤害;证据和证明;以及信息披露和信息传播。这一分析揭示出,指导监管法律的根深蒂固的假设,在当今复杂而快节奏的市场中是多么不自在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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