Is High-Frequency Trading (HFT) A Fancy Term For Cheating?
The furore over high-frequency trading (HFT) was once just a preoccupation of those directly connected with Wall Street. Now the topic has gone mainstream and may soon go all the way up to the White House.
In October 2015, US Presidential hopeful Hilary Clinton's campaign proposed a tax on HFTs, a move that surprised many, since previously this was considered some quixotic notion of her rival Bernie Sanders. At a press conference in May 2015, Sanders' "Robin Hood Tax" campaign detailed the Vermont senator's proposal for a tax on trades at $0.50 per $100 for stocks and a smaller amount for certain other financial instruments. The quixotic purpose: to use the tax revenue to make US public universities free, and eradicate student debt. The real target, some say, was cracking down on HFTs. As a Robin Hood Tax press release stated, "The Robin Hood tax would also slow the growth of automated high frequency trading, which makes the stock market more dangerous. A small tax would make risky HFT unprofitable."
Many critics of the proposed taxes argue that such taxes represent a misunderstanding of how HFTs work. Indeed, they are a bit more complicated than they might appear and a good deal more common.
What is a High Frequency Trade?
In principle, HFT is not a nefarious concept at all. It's a broader term for various trading strategies that involve buying and selling financial products at extremely high speeds. It takes advantage of the fact that computer processors are becoming exponentially faster, to divide trading periods into smaller and smaller increments - milliseconds, microseconds and beyond. Computers can identify market patterns and buy or sell these products based on algorithms or "algos."
One strategy is to serve as a market maker where the HFT firm provides products on both the buy and sell sides. By purchasing at the bid price and selling at the ask price, high-frequency traders can make profits of a penny or less per share. This translates to big profits when multiplied over millions of shares.
So What's So Bad About Speed?
On its own, nothing. But Lewis and federal authorities have said that HFT starts to get dubious when it includes such practices as moving servers increasingly closer to the floor of the stock exchange in order get information ahead of everyone else. This competition amongst traders for speed - and, in fact, geographic proximity - has been compared to an arms race. And some claim that this battle impinges on the principles of fair play.
There is also some speculation as to whether HFT is prone to too many errors. In October 2012, Nasdaq cancelled the trades for Kraft (KRFT) that occurred in the one minute after trading opened, after noting that the stock price in that one minute had surged 29%. At the time, Nasdaq attributed the glitch to "possibly erroneous trades."
Does It Hurt the Market?
One would think that because most trading leaves a computerized paper trail, it would be easy to look at the practices of high-frequency traders to provide a clear cut answer to this question, but that is not true. Because of the volume of data and the firms' desire to keep their trading activities secret, piecing together a normal trading day is quite difficult for regulators. Those who debate this issue often cite the "flash crash."
On May 6, 2010, the Dow Jones Industrial Average mysteriously plummeted 10% in minutes, and just as inexplicably, rebounded. Some large blue chip stocks briefly traded at one penny. On Oct. 1, 2010, the SEC issued a report blaming one very large trade in the S&P e-mini future contracts, which set off a cascading effect among high-frequency traders. As one algo sold rapidly, it triggered another. As more sell stops hit, not only were high-frequency traders driving the market lower, everybody, all the way down to the smallest retail trader, was selling. The "flash crash" was a financial snowball effect.
This incident caused the SEC to adopt changes that included placing circuit breakers on products when they fall past a certain level in a short period. In the wake of the flash crash, many asked whether imposing tighter regulation on high-frequency traders made sense, especially since smaller, less visible flash crashes happen throughout the market with regularity.