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Research Paper Volume 4 Issue 2 2208 - 2214 April 9, 2021

India’s Front Running Laws: A Viable Protection for the Average Investor against High Frequency Traders?

Lead author · Corresponding
Suvajoy Ghosh
Student at University of Calcutta, Department of Law, India.
Abstract

The rise of High Frequency Trading in the United States and the rest of the world has changed the face of the financial system in India. A host of new consequences have emerged which couldn’t possibly have been foreseen earlier. Naturally the existing laws are incapable of dealing with issues relating to High Frequency Trading, when the existing laws were written its safe to assume that the authors did not have the value of a microsecond in mind, and it certainly couldn’t have occurred to them that the time taken by a human to blink his eye can be considered slow in the financial markets one day. These consequences were laid bare in the flash crash of 2010 in the US. The absence of laws to regulate High Frequency Trading and calculate the value of a microsecond to a trader has created an opaque market, made further opaque, by the traders themselves to secure their strategies and profits. Many of these strategies and methods have been researched in detail by certain journalists and authors and deemed to be predatory, foremost among them being American financial journalist Michael Lewis who laid bare the predatory tactics of the High Frequency Traders in his book “Flash Boys.” This article has been written to discuss the legality of High Frequency trading in the face of Indian front running regulations and to explore whether they provide sufficient protection to the average investor from predatory trade strategies exploiting advantages in speed and information asymmetries.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 4, Issue 2, Page 2208 - 2214
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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