January 22, 2011
The Wall Street Journal (WSJ) recently published a headline article titled “Hedge Funds’ Pack Behaviors Magnifies Market Swings”. While it is not unusual to see the WSJ write on hedge funds and market swings, this article is unusual because it emphasizes the social ties linking investors. It reflects a sea change in the way that the public and the media view financial markets – and an opportunity for the social studies of finance (SSF) to reach a broader audience.
For the past decade, the quant metaphor has dominated public perceptions of financial markets. Institutional investors – particularly hedge funds – were seen as “quants” that used sophisticated computer models to analyze market trends. This idea went hand-in-hand with the view that markets were efficient – fueled by reliable, public data, proceed through sophisticated, rational algorithms, and powered by intelligent computer systems instead of mistake-prone humans.
Of course, the recent financial crisis has dislodged such beliefs. Instead of mathematical geniuses finding hidden patterns in public data, quants were revealed as Wizards of Oz – mere human beings capable of making mistakes. Their tools – computerized systems – went from being the enforcers of an efficient market to a worrying source of market instability. As stories about flash trading and inexplicable volatility popped up, the public even began to ask whether the quants were trying to defraud the public.
If institutional investors are mere humans instead of quantitative demigods, shouldn’t they also act like humans? And – shouldn’t their social natures affect the way they make investment decisions? The mainstream media is finally confronting such questions – which SSF has long raised. This particular WSJ article parallels a widely-circulated working paper by Jan Simon, Yuval Millo and their collaborators, as well as my own work under review at ASR.
The world is finally catching up with SSF. Will we finally be heard? It is our responsibility to reach out to the public and the media.
September 26, 2010
Many readers of this blog may have already come across a fascinating story in August from the Atlantic about mysterious high-frequency trading behavior. I missed it the first time around, on account of ASA perhaps, but recently found it: Market Data Firm Spots the Tracks of Bizarre Robot Traders. If the title alone didn’t make you want to read this story, I don’t know what could. Bizarre Robot Traders? I’m sold!
The story describes a tremendous number of nonsense bids – bids that are far below or above the current market price, and thus will never be filled – made at incredible speed in a regular, and quite pretty, patterns:
Are these noise trades an attempt to gain a tiny speed advantage?
Donovan thinks that the odd algorithms are just a way of introducing noise into the works. Other firms have to deal with that noise, but the originating entity can easily filter it out because they know what they did. Perhaps that gives them an advantage of some milliseconds. In the highly competitive and fast HFT world, where even one’s physical proximity to a stock exchange matters, market players could be looking for any advantage.
Or are they trial runs for a denial of service attack?
But already since the May event, Nanex’s monitoring turned up another potentially disastrous situation. On July 16 in a quiet hour before the market opened, suddenly they saw a huge spike in bandwidth. When they looked at the data, they found that 84,000 quotes for each of 300 stocks had been made in under 20 seconds.
“This all happened pre-market when volume is low, but if this kind of burst had come in at a time when we were getting hit hardest, I guarantee it would have caused delays in the [central quotation system],” Donovan said. That, in turn, could have become one of those dominoes that always seem to present themselves whenever there is a catastrophic failure of a complex system.
I certainly don’t know – do any of you? Either way, this story (“Bizarre Robot Traders!”) makes me feel like finance has finally entered into the science fiction future I was promised in my childhood.
May 29, 2010
Every week starting today, Socializing Finance will post a couple of SSF-readable / related links. This week’s choice is a classical SSF theme, “humans and machines”.
“Settlement Day“: reading the future through the development of GSNET. A parody of the ‘rise of the machines’ starring algorithms (among others).
“Trading Desk”: If you ever wanted to know how traders use their keyboards in order to release daily tensions at work, this link is for you.
“Me and my Machine“: Automated Trader’s freaky section. This is Geek’s stuff.
“Nerds on Wall Street“: A recent (2009) reference with interesting information on algo trading and the development of automated markets.
May 7, 2010
An interesting commentary appeared on BBC news about yesterday’s plunge in
US stock markets due to Greece’s continuing debt crisis:
“Computer trading is thought to have cranked up the losses, as
programmes designed to sell stocks at a specified level came into
action when the market started falling. ‘I think the machines just
took over,’ said Charlie Smith, chief investment officer at Fort Pitt
Capital Group. ‘There’s not a lot of human interaction. We’ve known
that automated trading can run away from you, and I think that’s what
we saw happen today.’”
Here the trader differentiates between two kinds of “panic” process
that both appear to the observers of the market as falling stock
prices: selling spells generated by machine interaction versus human
interaction. He assures that this time the plunge happened because the
machines were trading. This is a different kind of panic than what we
conventionally think of, one that is based on expectations about
European government debt, which escalates as traders are watching each
other’s moves, or more precisely, “the market’s” movement. Which kind
of panic prevails seems to be specific to the trading system of each
type of market. Another trader reassures us that today’s dive was “an
equity market structure issue, there’s no major problem going on.”
It is interesting that the traders almost dismiss the plunge as a periodic
and temporary side-effect, automated trading gone wild. Real problems
seem to emerge only when humans are involved. But if machine sociality
can crash a market and have ripple effects to other markets, then
perhaps the agency of trading software should be recognized.
April 28, 2010
Still with the on-going Goldman Sachs story: yesterday, during one of the hearings of the American Senate Governmental Affairs subcommittee we had one of these rare chances where worldviews collide ‘on air’. In yesterday’s hearing, Senator Carl Levin was questioning former Goldman Sachs Mortgages Department head Daniel Sparks about matters related to selling of structured mortgage-based financial products known as Timberwolf, during 2007. The full transcript is not available (you can see the video here), but a few lines can give us a gist of the dialogue that took place. When Levin asks Sparks why Goldman Sachs hid from the customers their opinion of the value of Timberwolf (a product that an internal GS memo described as a ‘shitty deal’), Sparks answers that ‘there are prices in the market that people want to invest in things’. On another occasion exchange, when asked what volume of the Timberwolf contract was sold, Sparks answered: ‘I don’t know, but the price would have reflected levels that they [buyers] would have wanted to invest at that time’.
This reveals the incompatibility in its naked form. While Levin focused on the discrepancy between the opinions among Goldman Sachs’ employees about the value of the product and between the prices paid for these financial contracts, Sparks placed ‘the market’ as the final arbiter about matters of value. That is, according to this order of worth it does not matter what one thinks or knows about the value of assets, it only matters what price is agreed on in the market. Both Levin and Sparks agree that not all information was available to all market actors. However, while this is a matter for moral concern according to Levin’s order of worth, it is merely a temporary inefficiency according to Sparks’ view.
Moreover, the fact that this dialogue took place in a highly-visible political arena, a televised Congressional hearing, entrenches the ‘ideal type’ roles that Levin and Sparks play. Sparks, no doubt at the advice of his lawyers, played the role of the reflexive Homo economicus, claiming, in effect, that markets are the only device of distributional justice to which he should refer. Levin, in contrast, played the role of the tribune of the people, calling for inter-personal norms and practices of decency. These two ideal type worldviews, as Boltanski and Thevenot show, cannot be reconciled. What we call ‘the economy’, then, is oftentimes the chronology of the struggle between these orders of worth