Securities Law Commons^™

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 …

Form Vs. Function In Rule 10b-5 Class Actions, Amanda M. Rose

Vanderbilt Law School Faculty Publications

The Supreme Court’s widely anticipated decision last term in Halliburton Co. v. Erica P. John Fund, Inc. did little to change the fundamental landscape of securities fraud litigation in the United States. Rule 10b-5 class actions premised on the “fraud-on-the-market” presumption of reliance may still be brought, although it is now clear that defendants may present evidence of lack of price distortion to rebut that presumption at the class certification stage. Halliburton does, however, raise a variety of new questions that will keep plaintiffs’ lawyers and defense counsel fighting for years to come. Determining the answers to these questions will …