Tuesday, 16 August 2011

Dow Jines average volatility over the last 100 years hasn't changed much

"When in doubt blame it on the computers."
Nowadays, this seems to be the go to scapegoat for any market related problems.  Over the last few days, numerous reports have said it is the computers to blame for the whipsaw trading the market has seen in recent weeks.
The explanation sounds plausible, but it is not necessarily borne out by the facts.  Over the last 50 trading days, the average daily percentage move (up or down) in the DJIA has been 0.90%.  Relative to history, the current level is far from the extreme readings we saw during the Financial crisis when the average daily change rose to 3.71%.  Granted, the last few days have been extremely volatile, so if the recent trend continues, we will see the current 50-day average rise much higher.
One could still argue that computers were behind the big spike in volatility during the Financial Crisis, but what would explain the big spike in the 1930s, when the average daily change was also above 3%?  Last we checked, there were no computers back then.  While HFT and computer trading may be contributing to the recent surge in volatility, it isn't solely to blame.  The reality is that when the market goes down, investors step to the sidelines, causing liquidity to dry up.  In illiquid markets, price volatility rises.


LINK

Sunday, 19 June 2011

Testosterone and high finance do not mix: so bring on the women

THE GUARDIAN

Gender inequality has been an issue in the City for years, but now the new science of 'neuroeconomics' is proving the point beyond doubt: hormonally-driven young men should not be left alone in charge of our finances…



For the past few weeks I've had two books by my bed, both of which offer a first draft of what history may well judge the most significant event of our times: the 2008 financial crash. Read together, they are about as close as we might come to a closing chapter of The Rise and Fall of the American Empire. As literature, one of them – the final report of theFinancial Crisis Inquiry Commission of the US Treasury – doesn't always make for easy reading: there are far too many nameless villains for a start. And, quite pointedly, there is not a heroine in sight. Reading the report I became preoccupied by, among other things – the fairy steps from millions to billions to trillions, say – the overwhelming maleness of the world described. The words "she", "woman" or "her" do not appear once in its 662 pages. It is a book, like most historical tragedies, written about the follies and hubris of men.
The other book, an entirely compulsive companion volume, is Michael Lewis's best-selling The Big Short, which Google Earths you into the crisis. Rather than looking at a global picture, it lets you into the bedrooms and boardrooms of the individual corporate men who catastrophically lost billions of dollars and, on the other side of those bets, the extraordinary ragtag of obsessive individuals who saw what was coming and made eye-watering fortunes. It gives the crash a human face, and once again that face is universally male.
The books are linked by more than subject matter, though. Lewis, a one-time bond trader himself – he left, 20-odd years ago, in incredulity and disgust to write his insider's account, Liar's Poker – gave evidence to the Crisis Inquiry Commission over the course of its 18-month sitting. In the end, however, he refused to sign off the report; and not only did he refuse to sign it, he also refused to put his name to the dissenters' addenda to the report, which three of the committee insisted upon. And not only that, he did not add his name to that of the single individual who insisted on a further addendum stating that he dissented from the dissenters' view. Lewis was not a fan of the report.
The reason for this was simple, he suggested. He felt that the committee, for all its considered judgment, had not understood, from the outset, a single, pivotal word. That word was "unprecedented". Though the inquiry had set out in the belief that the crash was an event different in kind to anything that had gone before, it nevertheless proceeded to judge it in the terms of previous crashes. What it failed to do, in Lewis's eyes, was this: it neglected to look for the things that might have changed in Wall Street or the City, the things that might have made individuals on the trading floors act in ways that were seen to be entirely, unprecedentedly, reckless. When he came to consider these things himself, Lewis felt that perhaps chief among the unprecedented novelties was this one: women.
"Of course," he observed, with tongue firmly in cheek, "the women who flooded into Wall Street firms before the crisis weren't typically permitted to take big financial risks. As a rule they remained in the background, as 'helpmates'. But their presence clearly distorted the judgment of male bond traders – though the mechanics of their influence remains unexplored by the commission. They may have compelled the male risk-takers to 'show off for the ladies', for instance, or perhaps they merely asked annoying questions and undermined the risk-takers' confidence. At any rate, one sure sign of the importance of women in the crisis is the market's subsequent response: to purge women from senior Wall Street roles…"
When I first read those remarks it was not clear how much in earnest Lewis had been when he made them. Subsequently, though, I heard him speak at the London School of Economics, and he took this idea in a slightly different direction. When asked what single thing he would do to reform the markets and prevent such a catastrophe happening again, he said: "I would take steps to have 50% of women in risk positions in banks." Pressed on this, he went on to suggest how science reveals that women in general make smarter decisions regarding investment than men, that when it comes to money, women in couples are demonstrably better at evaluating risk than their partners, and single women much better still.
Though those of us males who have an uncanny sense of money always slipping through our fingers might anecdotally believe this to be true, I was surprised to hear it stated as a fact. It seemed to beg a number of questions. First, if women really are better at making these judgments, why is it always men, still, without exception, who troop out before select committees to explain where it all went wrong, and how they weren't really to blame. And second, would it really be different if women were in charge?
You don't have to look too far into the science to realise that Lewis's claim, in broad terms, stands up. The first definitive study in this area appeared in 2001 in a celebrated paper that broke down the investment decisions made with a brokerage firm by 35,000 households in America. The study, called, inevitably, "Boys will be Boys" found that while men were confident in making multiple changes to investments, their annual returns were, on average, a full percentage point below those of women who invested the family finances, and nearly half as much again inferior to single women.
A more recent study of 2.7 million personal investors found that during the financial crisis of 2008 and 2009, men were much more likely than women to sell any shares they owned at stock market lows. Male investors, as a group, appeared to be overconfident, the author of this study suggested. "There's been a lot of academic research suggesting that men think they know what they're doing, even when they really don't know what they're doing." A fact that will come as a surprise to few of us. Men, it seemed, typically believed they could make sense of every piece of short-term financial news. Women, never embarrassed to ask directions, were on the whole far more likely to acknowledge when they didn't know something. As a consequence, women shifted their positions far less frequently, and made significantly more money as a result.
Naturally, if these findings were widely applicable, then it would be hard not to agree with Lewis's suggestion for reforming the sharpest end of capitalism. Rather than ring-fencing casino investment banks or demanding that high street banks hold vastly greater capital, as we heard at the Mansion House last week, wouldn't a safer model just be to hire more women?
To argue this case, you would probably need more than just behavioural evidence; you might need to understand some of the mechanisms which produced the trillion-dollar bad decision-making that led to what happened in 2008. In recent years, and particularly since the crash, a new science of such decision-making – neuroeconomics – has become fashionable in universities and beyond. It proposes the idea that you will create a better understanding of how people make economic choices if you bring to bear advances in neurobiology and brain chemistry and behavioural psychology alongside traditional economic maths models. Not surprisingly, neuroeconomics has plenty to say about the question of whether decision-making, in high-pressure situations, divides on genderlines.
The problem is that most of the scenarios used to investigate this divide are artificial. It is one thing attaching someone to an MRI scanner and telling him or her that a million pounds rests on their decision in a game; it is another when that person actually stands to lose a million pounds. Only one study, as far as I could discover, has had access to the brain chemistry, the neural biology, of young men actually working on trading floors. But the results it produced were nonetheless startling.
The study was led by a pair of Cambridge researchers. One, Joe Herbert, is a professor of endocrinology, and the other, John Coates, a research fellow in neuroscience and finance. Herbert, a specialist in the effect of hormones on depression, was fascinated to put some of his theories about the role of chemicals on decision making into practice. The curious thing about banks, he told me, "was that they know all about computers and systems and markets but they know next to nothing about the human machine sitting in the chair in front of screens making decisions. Nothing. We aimed to correct that just slightly."
It was Coates, though, who made the experiment possible. Having met Herbert at his lab in Cambridge, I met Coates in a pub in west London. He had a special advantage in gaining access to bond traders' brains, he explained: he used to possess one himself. Sharp-eyed and fit-looking, Coates retains the intensity of a man who used to run a trading desk on Wall Street during the dotcom bubble. He started off at Goldman Sachs and went on to Deutsche Bank. After some years trading, and making a lot of money out of a lot of money, he became increasingly fascinated by the way, during the dotcom years, the traders he worked alongside radically changed behaviour. They became, he says, "euphoric and delusional. They were taking far more risks, and were putting up trades with terrible risk-reward profiles". The dotcom was fun, in a way, he suggests; it was like the roaring 20s. "But I don't think anyone looks back on the housing bubble and laughs."
Coates was a relatively cautious trader himself, but there had been times when he too felt this surge, this euphoria: "When I had been making a lot of money myself, I felt unbelievably powerful," he recalls. "You carry yourself like a strutting rooster, and you can't help it. Michael Lewis talked about 'Big Swinging Dicks', Tom Wolfe talked about 'Masters of the Universe' – they were right. A trader on a winning streak acts exactly that way."
The second thing that Coates noticed was even more revelatory to him. "I noticed that women did not buy into the dotcom bubble at all," he says. "You couldn't find one who did, hardly. And that seemed like a pretty cool fact to me."
With this cool fact in mind, Coates began splitting his time between his trading desk and the Rockefeller University in Manhattan, which is perhaps the world's leading institute for the study of brain chemicals. There he started to become interested in steroids, and in particular something called "the winner effect". This occurs when two males enter a competition and their testosterone levels rise, increasing their muscle mass and the ability of the blood to carry oxygen. It also enhances their appetite for risk. Much of this testosterone stays in the system of the winner of a competition, while the loser's testosterone melts away fast; in evolutionary terms, the loser retires to the woods to lick his wounds. In the next round of competition, though, the winner already has high levels of testosterone, so he starts with an advantage, and this continues to reinforce itself.
"Steroids," Coates explains, "like most chemicals in your body, display what is called an inverted U-shaped response curve." That is to say, when you have low levels of them you lack vitality, and do very poorly at mental and physical tasks. But as the levels rise you get sharper and more focused until you reach an optimum. The key thing is this, however: "If you keep winning, your testosterone level goes past that peak and sliding down the other side. You start doing stupid things. When that happens to animals, they go out in the open too much. They pick too many fights. They neglect parenting duties. And they patrol areas that are too large." In short, they behave like traders on a roll; they get cocky.
Coates became convinced that this winner effect was what he observed in bullish trading markets, and what ended up dramatically distorting them. It also explained why women were mostly immune to the euphoria, because they had only 10% of the testosterone of men. What struck him most, though, was that, for all the literature about financial instability, economics, psychology, game theory, no one had ever clinically looked at a trader who was caught up in a bubble.
Coates wrote a research proposal. He came back to Cambridge where he had done his first degree, and because of his background eventually gained access, with Herbert, to a major City bond-dealing floor in London. They tested the traders for two hormones in particular, testosterone and cortisol (the anxiety induced, depressive "stress hormone"), and mapped their levels over a period of weeks against the success or failure of trades, individual profit and loss. Coates had imagined the experiment to be a preliminary study but the correlations he found – for evidence of irrationality produced by the winner effect and its converse – was "an absolute dream". They not only discovered that a trader's morning testosterone level could be used to predict his day's profitability. They also found that a trader's cortisol rose with both the variance of his trading results and the volatility of the market. The results pointed to a further possibility: as volatility increased, the hormones seemed to shift risk preferences and even affect a trader's ability to engage in rational choice.
Though the sample was limited, and suitable caution was needed in claiming too much, the correlations suggested that over a certain peak, testosterone impaired the risk assessment of traders. "And cortisol," he suggests, "was in some ways even more interesting than testosterone. We thought cortisol would rise when traders lost money," Coates says, making individuals more than usually cautious, "but actually it was going up incredibly when they were faced with just uncertainty. The stress hormones were switching over to emergency states all the time. There was an optimal level but these stress hormones can linger for months. Then you get all sorts of really pathological behaviours. If you are constantly prepared for high tension it affects your brain, and it causes you to recall stressful memories and become exaggeratedly risk-averse and kind of helpless."
Unfortunately this particular study ended in June 2007, before the full effect of the crisis, but its implications account, Coates believes, for some of what he subsequently heard from the trading floor. "If cortisol goes beyond a certain point, then it may become very difficult for traders to assess any risk at all. These guys are not built to handle adversity that well. There is an observable condition called 'learned helplessness', which if you are submitting to great stress over a long period of time makes you give up suddenly. Lab animals develop it: you open the cage and they won't escape. Traders have it too. They just slump in their chairs. In the crisis there were classic arbitrage opportunities as the markets were falling. Free money. But traders would sit there staring at the numbers and not touching it."
Since then, Coates has partly been working on the other strand of his original hypothesis, looking at the brain chemistry of women working in the markets. Because of the small sample sizes he has to work with – there were only three women out of 250 traders on the floor he first tested – the detail of that is far from complete, and he is properly reluctant to draw conclusions. What he will go so far as to say, though, is this. "Central bankers, often brilliant people, spend their life trying to stop a bubble or prevent a crash, and they are spectacularly unsuccessful at it. And I think it is because, at the centre of the market, you have these guys either ripped on testosterone or overwhelmed by cortisol so that they become completely price insensitive." Coates wrote a couple of articles after that research was published, suggesting that, if the winner effect was right, it was possible that bubbles were an entirely young male phenomenon. And if that were the case, then the best way of preventing boom and bust was to have more women and more older men – less in thrall to hormones – in the markets. "We know that opinion diversity is crucial to stable markets. What no one talks about is endocrine diversity, a diversity of hormones. The billion-dollar question is how to achieve it."
To most experienced, male, investment bankers, of course, this sounds like fighting talk. An old friend of mine, who traded his Cambridge English degree for an extremely lucrative life as a bond dealer, offered this, when I presented Coates's evidence to him. "It would be nice to think that having more female traders on the floor would make for less volatility," he said, "but that's wishful thinking. Financial markets are now global, so while we in the west might decide not to chase trends or react instinctively to breaking news because there are mature mothering types in boardrooms and sitting on risk committees, the rest of the world will, and our banks would lose out." And that's not all. "Many of the women I know who have managed money or have put capital at risk for banks have tended to be even more aggressive with risk than their male counterparts, as if perhaps to compensate for their supposed diffidence. Fighting their way through a male-dominated environment to a position in which they can invest/punt/ risk-manage, many women develop an ultra-masculine persona so as to be thought of as ballsy…"
Just a cursory glance through some of the recent spate of books and blogs written by young women who have worked in the City and lived to tell the tale would certainly seem to support this observation. Melanie Berliet, who worked as one of the only female traders in Wall Street, set the tone in her confessional blog: "If anything," she observed, "my token status gave me an extra thrill. I enjoyed being called a 'fucking dullard' or being instructed, patronisingly, to 'remove head from ass', because my reaction – to grin rather than cry – impressed the guys. I loved their attention and the daily opportunities to prove that I fitted in. What separated me from my colleagues was physical: my 5ft 9in, 120lb frame, my long, blondish hair – and my vagina. I had two options with my boss: trade sexual banter or resist. Typically, I chose the former. Like most traders, my base salary wasn't terribly high—$75,000 at the start of my third year. The bonus was all, and getting the right number rested on one thing, as I saw it: my willingness to promote my boss's fantasy of fucking me…"
John Coates doesn't believe the caricature, or at least he believes that in the upper reaches of banks, things have moved on. "A lot of my former colleagues are running divisions, or whole banks," he says. "I don't buy the sexist macho argument. The big investment banks desperately want women traders. But when they interview women who are qualified, the women don't want to do it…"
Neuroeconomics also starts to provide the answers to some of the reasons for that. Muriel Niederle is a professor at Stanford University, looking at gender differences in risk decisions. Over a period of years Niederle has developed clear evidence for the theory that though in non-competitive situations women demonstrate an advantage over men in making investment decisions, they either shy away completely from making those decisions in intensely competitive environments, or they respond less well than men to competition with very short-term high intensity and results-driven focus. This pattern is set, Niederle proves, from a very young age (and no doubt has a good deal to do with the differential presence of troublesome testosterone). Joe Herbert told me at his lab in Cambridge: "What is clear is that there are neurological differences between the sexes. Women, in very general terms, are less competitive, and less concerned with the status of being successful. If you want to make women more present, you have to remember two things: the world they are coming into is a man-made world. The financial world. So, either they become surrogate men… or you change the world."
Ah, changing the world. In the wake of 2008, there was a good deal of talk about that heady idea. Much of this talk concerned the creation of more gender balance in the city. The Economist coined the phrase "Womenomics" and argued that excluding nearly 50% of talent from crucial positions in business and finance was not only discriminatory but caused serious harm to stability and growth. Iceland's banks brought in women to clear up the mess that men had left. A good deal was made of the fact that the extraordinary success of microfinance in the developing world was because 97% of the loans were granted to women (men were – biologically? culturally? – not to be trusted). Science, neuroeconomics, was harnessed to develop some of those themes. And then, well, nothing. The commissions and the select committees decided that a return to something like the status quo, with all its implicit risks and inequalities, was the only option.
Womenomics still persists in a few places, however. The 30% Club was an initiative set up last November by executive women, and some senior men in FTSE 100 companies and accountancy and legal practices, to increase the number of women in decision-making and boardroom positions to that figure. It goes a little further than Lord Davies's recent report on the subject. But 30% is not an arbitrary number; it is thought – by neuroeconomists again, and through observation – to be the minimum proportion of women at the top of an organisation required to begin to change the culture; below that number, women tend to behave "like surrogate men"; above it, the subtle differences produced by gender might begin to influence the way decisions are made. In Britain there is still a good way to go: only 5.5% of executive directors in FTSE 100 companies are women (yet evidence shows that companies with women leaders have a 35% higher return on equity, and companies with more than three women on their corporate board have an 80% higher return on equity). On city trading floors, the percentage remains, for some of the reasons outlined above, at around 3% or 4%. Testosterone rules.
The country that has attempted most radically to change this balance is Norway, where a Conservative minister imposed a quota of 40% female directors in every boardroom. Most of the data suggests the initiative has been a great success, both culturally and commercially (though some, male, commentators argue that the turnaround is better explained by the spike in oil prices).
It would be hard to find many people in the city, even among women, who would favour quotas, though that argument can be made. John Coates, wearing his dealmaker's hat, suggests a practical solution. "The question is not whether men are risk takers and women are risk-averse. It is more what kind of risk do they want to take? My hunch is that women don't like high-frequency trading, so what you have to do is change the accounting period over which they are judged."
He then gives me a potted description of how things remain: "Say you have two traders. One trader makes $20m a year for five years, of which she might typically pocket a couple of million a year herself. At the end of five years she has made the bank the best part of $90m. Another trader makes $100m a year for four years. They don't want that guy to go off to a hedge fund so they let him take home $20m a year. But then in the fifth year – because of the winner effect – he loses $500m. That is essentially what happened in the financial crash. The bank has lost $100m and the trader has gained $80m. If you were judging these things over a five-year period, then you can see which person you would hire."
But, of course, that would require a very different idea of markets, and of money, to the one that is currently desperately being defended and remade. It would certainly require a greater degree of "endocrinal diversity". Still, the next time you hear someone suggest that things are getting back to "normal" in the city, and that we should at all costs start believing in exponential growth again, at least you can look him in the eye and state that you think his hormones might be playing up.

Neuroeconomics: Six things that the science of decision-making reveals

■ If groups of young men are shown pornographic pictures of women and then asked to choose between safe and risky investments, compared with men shown non-pornographic pictures they choose far riskier portfolios.
■ Our brains are designed to seek out novelty, but too much information can overwhelm them; we are generally better at assessing risk when listening to Bach than with the chatter of TV news.
■ Men's brains tend to shut down after they have proposed a deal, waiting for the response. Scans show that women brains continue to be active, analysing whether they have done the right thing.
■ Humans are the only animals that can delay gratification, a function of the prefrontal cortex. However, the prefrontal cortex only matures after the age of 30, and later in men than women. Before that, we are more likely to seek immediate gratification.
■ Our brains reward social interaction with the release of a chemical called oxytocin. It makes us feel good when we follow the herd. Stock market bubbles are one likely result of this.
■ Our brains are wired for human oxytocin-mediated empathy (or HOME). We are biologically stimulated to love (or hate) what is most familiar to us. We are built to form attachments, to value what we own more than what we do not own. This fact skews the rationality of all our investment decisions.
http://www.guardian.co.uk/world/2011/jun/19/neuroeconomics-women-city-financial-crash

Tuesday, 31 May 2011

10 Lessons I Learned from Steven Cohen

JOEFAHMY.com

"I recently had the pleasure of attending the third annual SALT Conference in Las Vegas. One of the highlights of the event was a rare interview with SAC Capital founder and hedge fund legendSteven Cohen, who spoke in front of a packed room of 1,800 people. Just to give a quick introduction, Mr. Cohen manages over $15 billion in assets and has achieved a +30% average annual return for 18 years. The interview was conducted by Anthony Scaramucci, managing partner of SkyBridge Capital, the firm that organizes and hosts this tremendous event.
I am a big fan of the quote: “Success leaves clues.” Unfortunately, many people choose to snub success, rather than embrace it, study it, and learn from it. Since I knew this was going to be a rare opportunity to hear one of the best in the business speak, I decided to take notes. Here are some of the lessons I learned:
1) As Steven Cohen walked on stage, my first thought was: “Wow! He is much thinner than I thought.” He mentioned that he works out “hard” three times a week, for an hour and a half each workout. This really impressed me for 2 reasons: 1) They say a common trait among successful people is health/fitness. He certainly proves that point. 2) He is 54 years old, so it’s a huge inspiration for me to stick with my workouts and to stay fit.
2) Anthony Scaramucci asked him who were his mentors growing up? Cohen said his father was his biggest influence and spoke about him with great reverence. He mentioned his father more than once during the interview, and I could tell by his tone that he was extremely sincere. This was comforting to me since my father is also my greatest influence. I don’t mean to get sentimental, but it was nice to see Cohen being real and being himself, especially when the media seems to only report negative news about these hedge fund giants and portrays them as arrogant. Cohen was very calm during the entire interview, and he was certainly down-to-earth.
3) Scaramucci asked him how has the business changed over the years? Cohen said the markets constantly evolve and adapt, so you have to adapt with it. For example, he is getting more involved with MACRO trading (commodities and currencies). He never thought he would be doing it, but “the world has changed and it’s a MACRO world.” This answer was important to me because part of being successful in any business is learning to anticipate and adapt to changes in your industry. For example, Blockbuster knew about Netflix for years but did nothing to change their business model. Obviously, one flourished and one didn’t.
4) Scaramucci asked him what makes someone successful at SAC Capital? Cohen said they look for people with “an identifiable, repeatable process.” This gave me comfort because I screen every night to evaluate the health of the market and its leading stocks. Sometimes it seems like a boring and redundant process, but this nightly preparation accounts for 90% of my trading success.
Cohen also stressed the importance of risk management. Remember what I said earlier about “success leaves clues?” If you read any of Jack Schwager’s Market Wizards books, you will find that the number one theme mentioned by the most successful traders in the world is: “CUT YOUR LOSSES!” Mr. Cohen, who is also featured in Market Wizards, reiterated this point a few times during the interview.
Other characteristics that Cohen looks for in his managers include: the ability to scale up their process, generate ideas, and they must be able to manage a group. Cohen judges his managers by their stats…”just like in baseball.” He uses “simple” stats such as win/loss ratios and other risk measures.
5) Lessons from the 2008 financial crisis? Cohen spoke about the importance of LIQUIDITY. He also said that some people were “over-levered and too heavily concentrated,” but his firm’s diversification helped them survive. When managing large amounts of money, I agree that diversification is important. However, for smaller managers or individual traders, I personally feel that the best way to outperform is to keep a concentrated portfolio. There is nothing wrong with putting all your eggs in one basket, as long as you watch the basket closely :) . Either way, I definitely agree that liquidity is very important. Not necessarily on the way up (because every stock is liquid when it’s rising), but on the way down (when you need to get out).
6) Cohen’s description of how he got started was inspiring, especially to a young manager like myself. After 14 years at Gruntal & Co., he started SAC Capital (at age 36) with 12 employees and $23 million under management. He admits that he never thought they would get to $100 million. The firm currently manages over $15 billion in assets, employs 850 people, and has offices in 6 locations worldwide. He says he was able to take advantage of big opportunities, especially since he started in the bull market of 1992. Cohen personally manages 10% of the firm’s assets and the remainder is divided amongst 300 investment professionals and portfolio managers. The majority of his management team has been with him for over 10 years, and he trusts them and their judgment.
7) Scaramucci asked him how the US deficit is going to be solved? Cohen said either 1) The Democrats and Republicans will get together and work on a solution or 2) The market will fix it on its own. I instantly thought of Comedian Lewis Black’s quote that “The only thing dumber than a Democrat or a Republican is when the two of them try and work together.” So, sorry everyone, looks like the market will simply have to correct itself someday, LOL!
8) I was certainly impressed by Cohen’s philanthropic endeavors. He and his wife focus their charitable efforts on two areas: 1) Children’s education and 2) The Military (specifically helping troops when they return home). As Tony Robbins says: “The secret to living is giving.” Cohen demonstrates this quite well.
9) Scaramucci asked his current opinion on the markets and if there were any sectors he liked? Cohen said we’ve had a good run and “I think we’ll see a pause.” He is optimistic about the second half of 2011, forecasting a 4% US economic growth rate. He is “worried” about 2012, but “we’ll worry about it when we get there.”
He mentioned that the recent sell-off in commodities could provide a good entry point for energy equities. He also favors the Mobility theme because we are going from 3G to 4G.
10) So what’s motivating him to keep going? Cohen simply loves doing what he’s doing. Although he was incredibly calm during the entire interview, his passion for trading and investing was quite apparent. He concluded by saying: “I can’t see myself doing anything else.”
As I mentioned earlier, it’s too bad that the media portrays most Wall Street titans as bad guys. I honestly had no idea what to expect prior to the interview, but I left INSPIRED!!! I was extremely impressed by Mr. Cohen’s human side, a side that I’m guessing very few get to see. I wasn’t impressed by his billions (because you can’t take it with you when you die), but rather by his focus on family, health, philanthropy, his passion for trading, and his overall advice on how to build a successful business. I wrote this article because I’m a huge fan of studying success. Hopefully, you have learned a few things along the way and will continue to embrace success and learn from it…it leaves us clues every day."

Tuesday, 17 May 2011

Tuesday, 10 May 2011

On the Floor Laughing: Traders Are Having a New Kind of Fun

"THE ATLANTIC

The modern trader is playing the most sophisticated, dynamic, immersive game in the world. Here's how it works -- and why your job might be the next to turn into a massively multiplayer experience.



It's just past noon on a Friday and I'm on the fourth floor of a skyscraper in lower Manhattan watching numbers rise and fall. The place is teeming with them--numbers by the screenful, screens everywhere you look -- but I've been told to pay attention to just one in particular, and what's really important is that I'm supposed to say something if it goes above 1,238. I'm not yet sure why.

I'm here to watch my roommate work. I realize that might sound insipid, but my passive curiosity about his job -- he trades complex equity derivatives for a "bulge bracket" bank -- has metastasized over this past year into something closer to devastating envy as I've seen him come home, day after day, buoyant and satisfied. I need to know what the hell goes on down here. I need to find out why, of all the fledgling professionals I know, he seems to be the only one genuinely delighted to go into the office every day.

Quickly you get the sense that something strange happens in this room. There must be three hundred people within eyeshot, all but a handful of them healthy, handsome, well-dressed men in their mid-twenties or early thirties. (My friend points at various colleagues around the room: "Triathlete; runs marathons; hardcore cyclist; marathons; marathons..."). They look less like they're working -- reading e-mails, say, or putting together a slide deck -- than calmly responding to a crisis. Maybe it's because they're wearing headsets and their heads are darting from screen to screen the way lizards' do and their keyboards are unusually colorful and they're talking fast like Aaron Sorkin characters in an incomprehensible argot as streaming real-time line charts flicker loudly in their faces. It's like a mission control center.

They're packed in pretty tight. Workstations are aligned in blocks of twenty, two facing columns of ten each, guarded by the dancing backs of ergonomic swivel chairs. It's a bit of a shambles to navigate, but no matter, hardly anyone stands up. The market is a fickle leviathan, after all, and its keepers don't like to leave it unsupervised. Hence all the takeout. And hence the way my roommate falls asleep (early, instantaneously). These guys are at it -- glued to their desks, mentally engaged--for six and a half hours straight.

The upshot is that there is a lot of energy on a trading floor. Go to a law firm, Silicon Valley startup, magazine, or corporate headquarters. Even if what they do there shakes the world, even if the staff practically sneezes vibrant creativity, still you can't escape that Office-y undercurrent, the unmistakable intimation of malaise you find wherever adults are stuck inside doing their homework. This place, on the other hand, feels like something closer to an active battleship.

I'm starting to think it has something to do with the computers. From far away each station looks like one of those extravagantly immersive arcade games -- like something you get into rather than sit down at. That's probably why I keep calling them "stations."

My friend's has six distinct screens. They're arranged as a row of two above a row of four in a bowed-out fan pattern that looks basically like a robotic sail. I'm told that this array is driven by three machines, each with a preposterous eight CPU cores. Maybe he needs them -- at the moment he has forty-four windows open. These include a Bloomberg terminal with prices, news, charts, and analytics that all update or redraw themselves more than once per second; several small forms for buying and selling different kinds of securities; some PDFs ridden with legalese; e-mails with long, redundant subject lines and laconic bodies; a bare bones programming IDE; a dashboard that shows his "book," or set of open market positions, with stats regarding risk and the like; some very intimidating spreadsheets; chat rooms, IM conversations, and the occasional video conference; a custom program to query internal databases; and miscellaneous browser windows. It all runs snappily.


Beneath the screens he has something called a turret, which is like a regular human telephone except that it has sixty active lines and a button density close to what you see on studio sound boards. Among other things it includes the option to broadcast its user's voice over the room's loudspeaker; this feature has apparently been used of late (though not by my friend) to share Rebecca Black's "Friday" with the entire floor.

The all-in costs for a setup like this -- hardware, software, and data subscriptions -- come to about $200,000 per year.
I'm feeling small when that number I was supposed to keep an eye on ticks to 1239. Excited, I look over to my friend as if to ask, what now?, and he says, "I have to buy $60 million worth of S&P futures." Which he does in about four seconds. Which he does as though wildly unreasonable sums of money weren't involved.

I think it's worth dwelling on this for just a minute. I think we're tempted to treat $60 million as not all that big of a deal, especially in the midst of an economic crisis involving sums literally five orders of magnitude larger. There is even a way in which being unimpressed by tens of millions of dollars is itself kind of impressive -- you come off like one of those rich guys who guesses the price of a beautiful house by saying "six or seven," as though anything less than a few mill might as well go on the far side of a decimal point. It tickles the ego a bit, is what I'm saying, to act natural around such indisputably absurd piles of money. Which is exactly what I'm doing as I watch my high school pal carefully, but casually, in his overlarge suit, put in an order for sixty fucking million actual American dollars.

You can see why a young guy out of college might get a kick out of working here. (And why a Phi Beta Kappa who studied physics and neuroscience at Harvard might have had a hard time getting in the door.) Imagine the psychological impact of having that kind of money and machinery at your fingertips. You must feel powerful. Too powerful, even, like a young pilot who's just been given the keys to his first F-35 Lightning II tactical strike fighter. A mixture of relish and trepidation.

Yet for all that I'm still unclear as to what my friend does, exactly, besides clicking buttons when one number gets bigger than another number.

He puts it this way: customers -- hedge funds, pension funds, insurance companies, rich individuals and so on -- come to him via a sales team demanding a very specific payoff function. A typical request usually involves a complex combination of rules and triggers, say, "We want a monthly stream of 12% returns as long as price X stays above 95, a downside no greater than Y, and a coupon of 120% of the principal in the event that A, B, and C all happen on or before the close of trading on April 11th." His job is to use math and intuition to figure out an appropriate price for that payoff function, and when the terms are settled, to make trades that satisfy the customers' constraints.
Trouble is, every time he does that he puts the firm's capital at risk. To manage the exposure he has to find a countervailing hedge: a set of miscellaneous financial instruments, like equities, options, futures, or others more exotic, that when combined approximately neutralize the original trades. He spends the bulk of his working day solving puzzles like that, trying to maintain a kind of homeostasis, avoiding any serious risk while making money with a little edge baked in here and there.

Of course it's hard to see things at that level when you actually watch him work. What stands out instead is a whole lot of fine-grained maneuvering: flitting from an open chat window over to a spreadsheet to run quick scenarios based on a new idea; backing off from a trade to see where his risk is at for the day; tracing counterfactuals ("if I do this and the market does this and I do this..."); catching a position on the verge of a critical price, diving into "crisis mode" for two minutes, eyes fixed on a few specific numbers, poised to react with a chord of contrapuntal trades; leaning back to watch the market for certain thematic trends; shouting to one of the senior traders on his desk when he's confused about something; blocking half an hour to drill down into the details of a contract's code; working out a low-level tactical "line"; jotting quick calculations and graphs; executing a series of rapid trades, running through a mental checklist to avoid mistakes; kibitzing with colleagues; responding to e-mails; eating; and keeping an eye on the news.

He says that his attention span has shortened but that in return he's picked up two abilities: broad situational awareness, i.e., the ability to juggle lots of disparate facts in working memory; and the pre-scandal Tiger-Woodsian knack for blocking out distractions when something big is on the line.


The more I watch, the more I think I understand the peculiar grip this place has on him -- and, for that matter, the peculiar grip it seems to have on me. From the minute I walked in here I've been sort of dazzled. I've felt almost exactly like I did when I was first invited as a nine or ten year-old into the cockpit of a commercial airliner. There is just something undeniably cool and complicated and a little bit spectacular about both places, each in its own way the frenetic nexus of an intricate machine. It looks fun, basically -- in the one case because you get to fly a plane, and in the other because people take you seriously and pay you lots of money and yet what you do all day is qualitatively equivalent to playing a video game.

If that sounds a bit silly, consider for a moment what makes a game a game.
The trick seems to be that games are constrained in a way that the real world isn't: there is a board, field, pitch, court, area, table, ring or other enclosure that bounds the action in space; clocks that bound it in time; and rules that restrict the space of allowable moves.

In some ways those constraints are what make games mentally satisfying, because they relieve us of what existentialists called "the anxiety of freedom." By giving us obvious, well-defined goals, they save us from having to define success; and with points, leaderboards, heads-up displays, indicators, badges, etc., they tell us exactly when we've achieved it.

Humans crave that kind of structure, probably because we get so little of it in real life. It's a lot harder to say whether you "have a healthy romantic relationship" or "are making a lasting contribution to something bigger than yourself" than that you've "lined up the yellow gemstones," "scored more points than the other team in twenty minutes," or "collected forty pounds of silver."

Think of the pleasure we get crossing things off lists, the thrill of reaching "inbox zero" or finishing a book. We want to accomplish things and, maybe more importantly, we want to know that we've accomplished them.
Games (and video games in particular) exploit that essential insecurity. They're engineered to unfold as a series of short feedback cycles, every action a small experiment that concludes in minutes, if not seconds, with concrete consequences: you either win or lose points. That vivid loop keeps you constantly engaged. It sucks you into the micro-mechanics of the game, because even the smallest maneuvers give you the feeling of "getting somewhere." You can't help but tweak, tweak, tweak your way up the game's learning curve, an eye always on your rising score.
Now think of what a trader does. A trader's job is to be smarter than the market. He converts a mess of analysis and intuition into simple bets. He makes moves. If his predictions are better than everyone else's, he wins money; if not, he loses it. At every moment he has a crystalline picture of his bottom line, the "P and L" (profit and loss) that determines how much of a bonus he'll get and, more importantly, where he stands among his peers. As my friend put it, traders are "very, very, very competitive." At the end of the day they ask each other "how did you do today?" Trading is one of the few jobs with an actual leaderboard, which, if you've ever been on one, or strived to get there, you'll recognize as being perhaps the single most powerful driver of a gamer's engagement.

That seems to be the core of it, but no doubt there are other game-like features in play here: the importance of timing and tactile dexterity; the clear presence of two abstract levels of attention and activity, one long-term and strategic, the other fiercely tactical, localized in bursts a minute or two long; the need for teams and ceaseless chatter; and so on.

Not to mention that the whole job takes place indoors in a kind of software cockpit driven by people sitting in a climate-controlled room staring at screens scrabbling away on colorful complicated keyboard controllers.
Mind you, the game the traders play is nothing like Mario or Zelda or Megaman. It's not a shoot-em-up or racing game. What it is is more like Starcraft or maybe TradeWars: an intense, cerebral, massively multiplayer real-time strategy game. It's a game grounded in information: prices, mostly, but also all kinds of news and rumors and oblique signals, whether by way of balance sheets or CNBC. It's the kind of game that requires the player to immerse himself in data, distill from it a sort of strategical gestalt, and convert that high-level battle plan into a series of discrete maneuvers, in this case trades on the open market.

The difference here being, of course, that it's all real.

A trader's interface may be remarkably abstract, but in this game the points matter. Somewhere down the chain--somewhere far down the chain, maybe, but there nonetheless--a trader's clicks and keystrokes become redeemable as actual pork belly or oranges or oil, as mortgages and savings and pensions. Bits become dollars and dollars become stuff.

That basis in reality changes everything. It means that those flickering prices my friend so closely attends to are not just big, but bloody, too, alive in a way that a gamers' aren't, by virtue of being grounded in the big-ticket wants of real fleshy people. They have a soul behind them--or if that sounds hollow, a will. The pulse of the invisible hand.
The data a trader plays with, just by virtue of being connected to significant amounts of actual people's money, has a depth to it--gravitas -- and a kind of genuine dynamism that can't be programmed.


Not for lack of trying: the hackers who develop games like TradeWars go to insane lengths to simulate, say, the rates at which various resources deplete on different planets -- they need to understand how the price of lumber reacts to average rainfall, demographics, seasonal logging activity, prevailing trade routes, etc. They'll spend days in a library reading about the types of food that nomadic peoples ate, and how much they stored each winter, just to know how many "nutrition points" they should award for different kinds of in-game meat. They try, in other words, to capture as much as they can of the dynamics driving our world, not for the sake of verisimilitude itself, but because it just so happens that the "realer" things are the more fun players seem to have. Actual healthy economies and climates have a balance that's hard to capture in a few hundred thousand lines of code.

On the one hand you might call the trader's game a simulacrum, an ersatz replica of, say, the sort of kinetic corporeal bazaar you'd find in the midst of the Roman Forum. But in spite of its abstraction it delivers. It finally exceeds the player's expectations; it's an answer to years and years of video games that gestured toward authenticity but always fell short. Trading in the way my roommate trades is not just neat and dynamic but weighty, too, perhaps even more full of significance than its erstwhile counterparts. The very same forces that seem to enfeeble it -- chiefly the fact that it's all computerized -- are in fact responsible for the acceleration of the profession's metabolic rate to the point where it's now more active, more rich with data and decisions and dollars, than it ever was.
What I want to say, then, is that trading equity derivatives is like playing a game written by programmers who got every mechanic exactly right. You might balk: "Of course they 'got it right' -- trading feels real because it is real!" But when you think about the bizarre circumstances of these electronic trades -- how they're simultaneously rooted in significant human commerce and yet so far abstracted from it -- and when you see your friend drag and drop real fortunes the way I might crop a Facebook photo, you come to believe that working on a modern trading desk is more like playing an excellent flight simulator than actually flying a plane.

My guess is that Moore's Law will do this to more and more jobs. Think of Predator missions in Iraq being controlled by joysticks in Southern California, or oil reserves being fractured and drilled by remote control. Maybe we're entering the age of Ender's Game, a science fiction novel by Orson Scott Card in which students are trained to become military commanders via a series of increasingly elaborate wargames, the most advanced of which turn out to have been real all along. You can go to war and keep your hands clean, enjoy synoptic control of a complex adaptive system from the comfort of a chair.

It's a new -- and potentially dangerous -- brand of fun.
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Friday, 6 May 2011

Wall Street traders mine tweets to gain a trading edge

"USATODAY

NEW YORK — #Tweet this: To gain a trading edge, Wall Street traders are now using clever computer programs to monitor and decode the words, opinions, rants and even keyboard-generated smiley faces posted on social-media sites like Twitter.com.



Human emotions, such as greed and fear, have always moved markets. Money can be made betting with or against the crowd, so measuring the mood of the masses online can be just as valuable as tracking price-to-earnings ratios, corporate profits and interest rates. The new trend on Wall Street for deciphering if the populace and investing public is in a positive or negative state of mind is computer-driven text analysis of the millions of real-time tweets and posts that flood social-networking sites.
Online surveillance of social-networking sites is emerging as a must-have tool for hedge funds, big banks, high-frequency traders and black-box investment firms that run money via computer programs. The goal: to gather market intelligence from previously untapped sources.
This emerging tool works something like this: Are you feeling glum, fearful or anxious today? Or are you in a calm, happy, optimistic mood? If you share your state of mind with the digital world via a tweet on Twitter or a soul-baring post on Facebook, Wall Street probably knows how you — and millions of other people — are feeling, too, thanks to its growing use of linguistic analysis of online posts. This incoming psychological snapshot of the Twitterati, digerati and average Joe could prompt a computer program interpreting the data at a hedge fund to place a trade without human intervention in an attempt to profit from the information.

  • The conversation tying tweets and social media and stocks together has gotten louder ever since last fall, when an academic study at Indiana University in Bloomington found a correlation between the collective mood of millions of people identified by tweets and the direction of the Dow Jones industrial average.



    "We are in the early stages of a gold rush," says Johan Bollen, a professor of informatics at Indiana University and co-author of the study linking Twitter mood measurement to stock market performance. "If you would have told anyone 10 years ago that this data would be available, they would have called it science-fiction. We know that emotions play a significant role in markets," he says. Analyzing millions of tweets is akin to a "large-scale emotional thermometer for society as a whole."
    Derwent Capital Markets, a London-based hedge fund, was so taken with Bollen's findings that it will soon launch a fund based on the methodology in his paper.
    Interest in the marriage of social media and finance remains high. In March, a study done by a Ph.D. candidate at Pace University showed a positive correlation between stock price performance and the social-media "popularity" of well-known brands Starbucks, Coca-Cola and Nike. The Pace author, Arthur O'Connor, also found that brand popularity online may be a "lead indicator" of stock performance. And a team of economists at TUM School of Management, or Technical University of Munich, has created a website, TweetTrader.net, that attempts to profit from similar Twitter research.
    A lot of noise
    Popular Mechanics cites this type of digital surveillance, which it dubs complex-event processing, as one of the "10 Tech Concepts You Need to Know for 2011." The magazine notes that there is a lot of noise in the data-rich digital world, which makes it harder to unearth relevant information. But it stresses that "a new generation of software" is shifting the focus from "data," or a record of what's happened, to "events," or "what's happening right now."
    Measuring investor sentiment has long been used by financiers as a tool to divine the future direction of stocks. But traditional tools are decidedly low-tech and less timely, such as the weekly polling of individual investors and financial newsletter editors to see how many are bullish and how many are bearish.
    The skyrocketing use of chatty and highly trafficked sites such as Twitter, Facebook and YouTube has created a fresh, massive and useful warehouse of new data. Sophisticated investors view the mining of digital chatter via machines as a way to gain an edge.
    Information gleaned from social-networking sites is dubbed unstructured data,or more qualitative stuff not generally interpreted by computers for the purpose of making decisions, such as buy and sell orders, explains Adam Honore, research director for Aite Group's capital markets group. Other types of unstructured data include traditional news, Internet content and regulatory filings. These data are often less scrutinized by Wall Street and, thus, more valuable to traders who do analyze it. Quantitative market data, such as prices of trades executed at exchanges or the first-quarter GDP number, are considered structured data.
    In recent years the percentage of market participants incorporating unstructured data into their trading models has jumped to 35% from 2% in late 2008, Aite Group data show. It's all part of the technological arms race underway in global markets.
    "We're talking about competitive advantage," says Honore. "It's all about the machine. The smallest advantage can mean substantial returns on investment."
    Still, Honore says sentiment information extracted from social-media sites is more useful as a complementary data point rather than the basis of an entire investment strategy. "You can use it for some trading decision support," he says. "But would I run a whole strategy off of it? No."
    "This is just the tip of the iceberg," says Eric Davidson, vice president at Titan Trading Analytics, a behavioral finance research firm that recently incorporated social-media data into its trading strategies. "But it's too early to build strategies solely off of social media. I don't think anyone has nailed this concept yet."
    Analyzing text in search of sentiment clues is not new on Wall Street. In recent years, traders have been using computer algorithms to speed-read news. There are a handful of machine-readable news services that use computers to analyze news content. The services parse the meaning of language and convert sentiment readings about individual companies or the broad market into numeric data that computers can crunch and base investment decisions on.
    A real-time news analytics service offered by Thomson Reuters "measures how positive, neutral or negative a news article is with respect to given companies," says Rich Brown, global business manager for machine-readable news at Thomson Reuters.
    When it comes to getting clear trading signals, however, Brown believes acquiring accurate sentiment readings is easier using traditional news gathered and disseminated in complete sentences by professional journalists than it is from the quirky, abbreviated language used in the "noisy" world of social media.
    But the noisy part of the tweet world can be a plus, says Paul Tetlock, a finance professor at Columbia University whose research has been incorporated into text algorithms used by machine-readable news services.
    "It cuts both ways," says Tetlock. "On the one hand, the person writing a tweet may not be thinking very carefully. So the information from the tweet might be noisy. But, on the other hand, social media doesn't filter out rumor and other speculation that might be informative to investors."
    An 87% accuracy rate
    Bollen's paper disputes the notion that measuring millions of 140-characters-or-less tweets cannot generate winning stock trades. In the paper titled "Twitter mood predicts the stock market," Bollen asked: Can societies experience mood states that affect their collective decision making? If so, can the public mood predict stock prices?
    To answer those questions, Bollen analyzed the text of daily Twitter feeds (9.6 million in total) over a nine-month period in 2008 with two mood-tracking tools. One simply measures whether the daily tweets were positive or negative. The other tool sought to measure human mood states by categorizing tweets under six terms equated with different mood types: calm, alert, sure, vital, kind and happy.
    The paper claims an 87% accuracy rate in using Twitter mood measurements to predict Dow stock prices three to four days later.
    What makes the findings powerful to investors is Twitter's predictive ability. Twitter's real-time stream of data alerts traders to mood swings before others might notice it.
    "If 100 million people are getting nervous, it could affect the market" and trigger, say, a sell trade to profit from the information, says Bollen.
    Adds Jeff Catlin, CEO of Lexalytics, a text analysis firm that also monitors social media, "Because Twitter tweets are such an early stream of information, if you can measure it well, then you have an earlier signal. You can make an investment decision … before it is even published in the mainstream media."
    'Cutting-edge stuff'
    The prospect of knowing where the Dow is headed days in advance was too much to pass up for Derwent Capital Markets. The firm's new fund, which is headed by Derwent founder Paul Hawtin, is slated to open as early as next week. Derwent was unable to speak to USA TODAY due to a quiet period mandated by market regulators. Bollen, who may join Derwent in an advisory capacity, commented solely on his research due to the quiet period.
    But a few months before the quiet period, Hawtin told CNBC the Twitter research is "cutting-edge stuff." He said he was "confident" the fund could post returns of "15% to 20%" a year. He conceded that not all tweets are relevant, but taken all together, the average 140 million tweets a day are very relevant. "There's more than 100 million tweets a day, and if you compile them all together they give you a general sense of how people are feeling," he told CNBC.
    At least one fund has already put Twitter mood measurement to the test. Richard Peterson, managing partner at MarketPsych, ran a hedge fund from late 2008 through the end of last year using social-media sentiment data. The fund rose 5.4% in the final four months of 2008, vs. a 30% loss for the S&P 500. It beat the index by 7 percentage points in 2009 but lagged behind the market by more than 21 percentage points in 2010. The firm has since switched gears and makes its money selling sentiment data feeds from its proprietary software to investment firms.
    The firm's surveillance data can identify a change in tone of posts about a particular stock. It can also detect rumors and leaks of negative information before the actual news breaks. The software quantifies 400 different sentiments, such as optimism or anger, and tones, such as uncertainty or confidence.
    In the spring of 2009, Peterson's fund was able to make a profitable trade in AMR, parent of American Airlines, after correctly reading sentiment around the time of the swine flu pandemic fears. On April 25, 2009, MarketPsych's software saw a rise in anxiety on AMR stock message boards after a "public health emergency" was declared. On April 30, three days after the flu pandemic alert was raised to Phase 4, the fund bought AMR at $4.81 a share. It sold the shares at $5.95 a week later for a gain of 24%.
    "It was a viable strategy for us," Peterson says.
    Mark Palmer, CEO of StreamBase, a tech firm that provides data to traders and recently added a Twitter sentiment tool to its arsenal, says it's unlikely we'll see a wave of money management firms basing entire fund strategies on Twitter.
    "It's a ripple, not a wave," says Palmer. "It's just another data source that has been popularized."
    "It's a fad, a hot button, a sexy story" that will fade once a new whiz-bang marketing ploy catches on six to 12 months from now, adds Laszlo Birinyi, president of Wall Street data provider and money management firm Birinyi Associates.
    But remember that when you are tweeting away, Wall Street, like the fictional Big Brother, is watching.
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