Why Nasdaq and NYSE should only cancel 90 percent of 'erroneous' trades
Keeping some of last week's erroneous trades will punish those using 'bad' algorithms and reward the 'good.'
Nasdaq and the New York Stock Exchange have both announced that they will cancel many trades made during the temporary market meltdown between 2:40 and 3:00 last Thursday afternoon (see, for example, this story from Reuters). These “erroneous” trades include any that were executed at a price more than 60% away from their last trade as of 2:40.Skip to next paragraph
Donald B. Marron is director of the Urban-Brookings Tax Policy Center. He previously served as a member of the President's Council of Economic Advisers and as acting director of the Congressional Budget Office.
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The motivation for these cancellations is clear: a sudden absence of liquidity meant that many stocks (and exchange-traded funds) temporarily traded at anomalous prices that no rational investor would have accepted.
As several analysts have noted, however, canceling these trades creates perverse incentives. It rewards the careless and stupid, while penalizing the careful and smart. It protects market participants who naively expected that deep liquidity would always be there for them, while eliminating any benefits for the market participants who actually were willing to provide that liquidity in the midst of the turmoil.
Kid Dynamite has helpfully linked to several comments along these lines, as well as providing his own view:
Paul Kedrosky asks aloud: “why are we wiping out all the errant trades by runaway algorithms and market battle bots?”
David Merkel points out, emphasis mine: “NASDAQ should not have canceled the trades. It ruins the incentives of market actors during a panic. Set your programs so that they don’t so stupid things. Don’t give them the idea that if they do something really stupid, there will be a do-over.”
And the Law of Unintended Consequences rears its ugly head again. Merkel’s point is simple and accurate: if buyers who step in later see their trades canceled, it removes all incentive for them to step in – and then you don’t get the bounce back that we saw! Think about how much havoc it causes a trader who astutely bought cheap stock, then sold it out at a profit. He’s now short! Or, he spent the entire day wondering if his order would be canceled, in a state of limbo. What’s the alternative – that traders should just assume that the orders will get canceled, and NOT buy stock? Guess what – if no one buys, the stock stays cheap! SOMEONE has to buy, and that someone shouldn’t be penalized in favor of remedying the ignorance of the seller who screwed up.
I see merit in both sides of this argument. My economist side thinks people should be responsible for their actions and bear the costs and benefits accordingly. But my, er, human side sees merit in protecting people from trades that seem obviously erroneous.
What’s needed is a compromise–one that maintains good incentives for stock buyers and sellers, but provides protection against truly perverse outcomes.
Happily, the world of insurance has already taught us how to design such compromises: what we need is coinsurance. People have to have some skin in the game, otherwise they become too cavalier about costs and risks. That’s why your health insurance has co-pays and coinsurance. Those payments undermine the risk reduction that insurance provides, but for a very good reason; 100% insurance would make medical care free, and people act really weird when things are free. Even a little skin in the game gets people to pay attention to what they are doing.
So here is my proposal: NYSE and Nasdaq should cancel only 90% of each erroneous trade. The other 10% should still stand.
If Jack the Algorithmic Trader sold 100,000 shares of Accenture for $1.00 last Thursday, he should be allowed to cancel 90,000 shares of that order. But the other 10,000 shares should stand–as a reminder to Jack (and his boss) of his error and as a reward to Jill the Better Algorithmic Trader who was willing to buy stocks in the midst of the confusion.
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