Tough to see Jamie be raked over the coals by Congress, who create trillion dollar deficits on annual basis and oversee the largest entity in the world by borrowing over $.40 of every dollar they spend. No street cred, bro!
We also believe much of the reason why the private sector is hesitant to hire and is hording cash and not investing is the policy uncertainty emanating from the Congress and Administration.
Nevertheless, the taxpayer has much at stake in a stable JP Morgan and banking system. Jamie D. was adamant in his testimony about getting rid of too big to fail (TBTF). Unfortunately, the Chicago boys in the White House emasculated Paul Volcker (and our hero), the TBTF crusader, early in the term. Ergo TBTF gets bigger.
We go to a post from last year to give the Congress some guidance on what they really should investigating. This type of nonsense, if true, has kept retail investors on the sidelines and is, and will continue to have, deleterious macro consequences.
Does Anne Hathaway Drive Berkshire Stock?
Originally Posted on March 19, 2011
We posted last October our suspicions that algo/robo traders were driving the almost tick-for-tick correlation between the Australian dollar and the S&P500. Remember those days of great fun?
Now, the Atlantic suspects that algorithms may, and we stress may, have been written and programmed to buy Berkshire Hathaway (BRK-A) stock when Anne Hathaway is mentioned in the news! Alexis Madrigal of The Atlantic writes,
A couple weeks ago, Huffington Post blogger Dan Mervish noted a funny trend: when Anne Hathaway was in the news, Warren Buffett’s Berkshire Hathaway’s shares went up. He pointed to six dates going back to 2008 to show the correlation. Mervish then suggested a mechanism to explain the trend: “automated, robotic trading programming are picking up the same chatter on the Internet about ‘Hathaway’ as the IMDb’s StarMeter, and they’re applying it to the stock market.”
The idea seems ridiculous. But the more I thought about the strange behavior of algorithmic trading systems and the news that Twitter sentiment analysis could be used by stock market analysts and the fact that many computer programs are simply looking for tradeable correlations, I really started to wonder if Mervish’s theory was plausible.
Madrigal checked in with John Bates, former Cambridge computer whiz whose company Progress Software writes algo strategies for hedge funds to ask, “Is this at all possible? Bates, to his surprise, answered “Maybe.”
We come across all sorts of strange things in our line of business, strange correlations,” Bates told me. “And I’ve had a lot of interest in this for a long time because it’s really often the secret source for certain hedge funds.”
Companies are trying to “correlate everything against everything,” he explained, and if they find something that they think will work time and again, they’ll try it out. The interesting, thing, though, is that it’s all statistics, removed from the real world. It’s not as if a hedge fund’s computers would spit the trading strategy as a sentence: “When Hathway news increases, buy Berkshire Hathaway.” In fact, traders won’t always know why their algorithms are doing what they’re doing. They just see that it’s found some correlation and it’s betting on Buffett’s company.
Algo/robo trading appears to becoming not only more bizarre, desperate and reaching the level of the absurd. Imagine a program, for example, written to sell 10K S&P500 futures contracts in illiquid market on the news of a report of a butterfly flapping its wings at home plate at Wrigley Field momentarily interrupting a Cubs game. The selling drives the index down 2 percent. Another program written to sell several thousand contracts when the index moves down 2 percent in, say, a 45 second time period then kicks in, driving the index down another 3 percent. Several thousand other programs are written to sell several thousand more contracts when the market is down 5 percent. A tornado on Wall Street set off by the flapping of a butterfly’s wings in Chicago? Hey, don’t entirely discount such a scenario. This is probably not far from what happened during last year’s “Robots Gone Wild” flash crash which was kicked off by the bank burning Greek riots.
At least we have some theories behind our correlations, such as the Hang Seng as an indicator species for global risk appetite. And we did make some money once buying Callaway (ELY), the proud sponsor of Phil Mickelson, the Friday before he won his first Masters.
But good luck trying to trade against this type of nonsense. We also wonder if the robot has been reprogrammed to sell rather than buy Nike (NKE) after Tiger’s downfall when he is now mentioned in the news. As they say on the newly paved Street, just go with the algo!
(click here if table is not observable)