Securities

Policy Proposals for High Frequency Trading

Steven Graziano, MJLST Staffer

In his article, The Law and Ethics of High Frequency Trading, which was published in the Minnesota Journal of Law, Science, and Technology Issue 17, Volume 1, Steven McNamara examines the ethics of high frequency trading. High frequency trading is the use of high-speed algorithms to take advantage of minor inefficiencies in trading technologies, and in doing so gain large market returns. McNamara looks into ethical, economic, and legal aspects of high frequency trading. In the course of his discussion McNamara determines that: high frequency trading is a term that actually describes an assortment of different practices; the amount of dollars involved in high frequency trading is declining, but is still a concern for certain types of investors and regulators; a proper analysis of high frequency trading requires use of expectation-based, deontological moral theory; and that modern technology may call into question the use of the Regulation National Market System regime. McNamara concludes that even though high frequency trading may lower costs to most investors, many practices associated with high frequency trading support the position that high frequency trading is not fair.

Securities and Exchange Commission Chair Mary Jo White has recently commented on the legality, and potential ways to approach, high frequency trading. White, while testifying before the Senate Appropriations Subcommittee on Financial Services and General Government, informed the Congressional Committee that “You don’t paint with the broad brush all high-frequency traders — they have very different strategies.” This sentiment mirrors McNamara’s assertion that the term high-frequency trading actually involves various practices. However, White is seemingly defending some practices, while McNamara has a more negative view.

Differing still from these two views are the results of a study done by United Kingdom’s Financial Conduct Authority. That study concluded with the conclusion that high-frequency trade technologies are not rapidly predicting marketable orders and then trading those orders. However, the study examined practices in Europe, which has less market participants and a slower moving market than the United States.

In conclusion, Steven McNamara offers a very insightful, encompassing look at high frequency trading. His analysis resonates through both White’s testimony, and in the results of the study from the Financial Conduct Authority. Although all three perspectives seemingly stand for somewhat different propositions, what is clear from all three sources is that the practice of high-frequency trading is extremely complex and requires in-depth analysis before making any conclusive policy decisions.


Mechanics or Manipulation: Regulation of High Frequency Trading Since the “Flash Crash” and a Proposal for a Preventative Approach

Dan Keith, MJLST Staff Member

In May of 2010, the DOW Jones plummeted to Depression levels and recovered within a half an hour. The disturbing part? No one knew why.

An investigation by the Securities Exchange Commission (SEC) and the Commodity Futures trading Commission (CTFC) determined that, in complicated terms, the Flash Crash involved “a rapid automated sale of 75,000 E-mini S&P 500 June 2010 stock index futures contracts (worth about $4.1 billion) over an extremely short time period created a large order imbalance that overwhelmed the small risk-bearing capacity of financial intermediaries–that is, the high-frequency traders and market makers.” After about 10 minutes of purchasing the E-mini, High Frequency Traders (HFTs) began selling this same instrument rapidly to deplete its own reserves which had overflowed. This unloading came at a time when liquidity was already low, meaning this rapid and aggressive selling increased the downward spiral. As a result of this volatility and overflowing inventory of the E-mini, HFTs were passing contracts back in forth in a game of financial “hot potato.”

In simpler terms, on this day in May of 2010, a number of HFT algorithms had “glitched”, generating a feedback loop that caused stock prices to spiral and skyrocket.

This event put High Frequency Trading on the map, for both the public and regulators. The SEC and the CTFC have responded with significant legislation meant to curb the mechanistic risks that left the stock market vulnerable in the spring of 2010. Those regulations include new reporting systems like the Consolidated Audit Trail (CAT) that is supposed to allow regulators to track HFT activity by the data it produces as it comes in. Furthermore, Regulation Systems Compliance Integrity (Reg SCI), a regulation still being negotiated into its final form, would require that HFTs and other eligible financial groups “carefully design, develop, test, maintain, and surveil systems that are integral to their operations. Such market participants would be required to ensure their core technology meets certain standards, conduct business continuity testing, and provide certain notifications in the event of systems disruptions and other events.”

While these regulations are appropriate for the mechanistic failures of HFT activity, regulators have largely overlooked an aspect of High Frequency Trading that deserves more attention–nefarious, manipulative HFT practices. These come in the form of either “human decisions” or “nefarious” mechanisms built into the algorithms that animate High Frequency Trading. “Spoofing”, “smoking”, or “stuffing”–there are different names, with small variations, but each of these activities involves a form of making large orders for stock and quickly cancelling or withdrawing those orders in order to create false market data.

Regulators have responded with “deterrent”-style legislation that outlaws this type of activity. Regulators and lawmakers have yet, however, to introduce regulations that would truly “prevent” as opposed to simply “deter” these types of activities. Plans for truly preventative regulations can be modeled on current practices and existing regulations. A regulation of this kind only requires the right framework to make it truly effective as a preventative measure, stopping “Flash Crash” type events before they can occur.