The Oscar Trade: Long Berkshire Hathaway On Anne’s Oscar

Let’s face it folks global markets have turned into the Truman Show.

In other words, much, if not, everything is pretty much fake.   An artificial housing recovery based  on repressed interest rates and the effective nationalism of the mortgage market and an artificial stock market rally based on quantitative easing.   The artificial wealth is, once again, creating, albeit just barely,  fake and temporary demand.

Most of the private sector, twice burned by the stock and housing bubbles,  can see right through it and refuse to expand capacity.   Witness tepid economic growth, at best,  even with the enormous fiscal and monetary stimulus.

Did you ever think in your wildest imagination that the printing money would become virtuous?  That in our zero interest rate world one of the fast growing group of millionaires would be retired government workers with defined benefit pensions (present value of retirement payments)?

So with that introduction and Anne Hathaway taking home the Oscar tonight for best actress in a supporting role we repost a piece from a few years back.

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Does Anne Hathaway Drive Berkshire Stock?

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?

Anne Berkshire HathawayNow, 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 flow algo!

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Welcome to the Truman Show!  Someday Truman is going to find out he lives in a fake world.  Won’t that be fun?

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Macro Fishing – Five Good Reads

Mack

Challenges for the new Governor of the Bank of Japan – Gavyn Davies,  FT
Is there a tipping point for government debt? – Washington Post WonkBlog
Global Economy-Hoping for Answers to Three Big Questions – Reuters
Are Stock Markets Really Becoming More Short Term? – Project Syndicate
The Rise of the Robots – Robert Skidelsky,  Project Syndicate

We can see hints of that future now. Twitter, the social-media giant, is an employment minnow. It is valued at $9 billion, but employs just 400 people worldwide – about as many as a medium-size carpet factory in Kidderminster.
Robert Skidelsky

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Overbought and Oversold Markets – February 22

The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price moves. The RSI moves between zero and 100 and is considered overbought with a reading above 70 and oversold when below 30.  Note the RSI can sustain an overbought (oversold) reading in a strong up (down) trend.

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Global Trend Indicators

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Italy’s own Mr. Normal? A look at Luigi Bersani – France 24

Some more background on one of the candidates in  tomorrow’s HUGE Italian elections.

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Week in Review

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WIR_Key LevelsWIR_Equity_WeekWIR_Bond_WeekWIR_Equity_YTDWIR_Bond_YTD(click here if charts are not observable)

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Weekend Lecture: In Conversation with Daniel Kahneman

We can never get enough of Daniel Kahneman.

Feb22_Kahneman

Published on Jun 7, 2012
Speaker(s): Professor Daniel Kahneman

Discussant: Professor Paul Dolan
Chair: Evan Davis
Recorded on 1 June 2012 in Peacock Theatre, Portugal Street

Daniel Kahneman is Eugene Higgins Professor of Psychology Emeritus at Princeton University and a Professor of Public Affairs Emeritus at the Woodrow Wilson School of Public and International Affairs. The recipient of the 2002 Nobel Prize in Economics for his seminal work in psychology that challenged the rational model of judgment and decision making, his ideas have had a profound and widely regarded impact on many disciplines — including economics, business, law and philosophy. Until now, he has never brought together his many years of research and thinking in one book. His book Thinking, Fast and Slow was published late in 2011

– lsewebsite

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U.S. Equity Sector ETF Weekly Performance – February 22

Sector ETF_WeekSector ETF_YTDSector ETF_Technicals(click here if charts are not observable)

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Daily Interest Rate Monitor – February 22

Interest Rate Monitor

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Weekly Eurozone Watch – Italy Votes

Key Data Points
German 10-year Bund 8 bps lower;
France 3 bps wider to the Bund;
Belgium 1 bp wider
Ireland 13 bps wider;
Italy 15 bps wider;
Spain 4 bps wider;
Portugal 17 bps wider;
Greece 24 bps tighter;
Large Eurozone banks weekly change, -5.37 to  1.25 percent;
Euro$ -1.32 percent on the week.

Investors fear inconclusive Italian election  (see here)

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Italy’s political “tsunami tour”

We’ll take back the country they’ve devoured. Two generations, the lives of millions wasted — we have a right to payback. Their era is ending; their time is up.
Beppe Grillo

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