Open Access. Powered by Scholars. Published by Universities.®

Law Commons

Open Access. Powered by Scholars. Published by Universities.®

Vanderbilt Law School Faculty Publications

Series

Algorithmic trading

Articles 1 - 2 of 2

Full-Text Articles in Law

The Failure Of Liability In Modern Markets, Yesha Yadav Jun 2016

The Failure Of Liability In Modern Markets, Yesha Yadav

Vanderbilt Law School Faculty Publications

In April 2015, the Department of Justice charged Navinder Sarao for his role in causing the Flash Crash-the near-1,000-point drop-and- rebound in the Dow Jones Index that roiled markets in May 2010. Sarao, a small-time British trader operating out of his parents' suburban basement, stood accused of putting together a string of illusory, fake orders that fooled markets enough to spark the largest single-day drop in the index's history. Commentators rightly contest whether a bit-player like Sarao could have unleashed a near-catastrophe on U.S. securities markets single-handedly. Yet, the complaint-and its causal account- point to a troubling dilemma facing scholars …


How Algorithmic Trading Undermines Efficiency In Capital Markets, Yesha Yadav Nov 2015

How Algorithmic Trading Undermines Efficiency In Capital Markets, Yesha Yadav

Vanderbilt Law School Faculty Publications

This Article argues that the rise of algorithmic trading undermines efficient capital allocation in securities markets. It is a bedrock assumption in theory that securities prices reveal how effectively public companies utilize capital. This conventional wisdom rests on the straightforward premise that prices reflect available information about a security and that investors look to prices to decide where to invest and whether their capital is being productively used. Unsurprisingly, regulation relies pervasively on prices as a proxy for the allocative efficiency of investor capital.

Algorithmic trading weakens the ability of prices to function as a window into allocative efficiency. This …