Say you were playing poker.

I don’t mean gambling, but real cards. You’re engaged with some seriousness. You’re watching how you bet and when, reading the players ahead and after you.

Then The House starts doling out stacks of chips. Would you play more or less cautiously if you had free chips?

Apply this thinking to equity markets, IR folks. In trading data, we saw European money sweeping into US equities Nov 28. Why did markets trembling Nov 25 decide by the following Monday to up the ante in risk-taking? Primary dealers implementing policy for global central banks also drive most program-trading strategies.

Thus, European money surmised that central banks would intervene, and their behavior reflected it. The rest caught on, and markets soared Nov 30 on free chips from central banks. It was short-lived. By Dec 2, we saw institutions market-wide assaying portfolio risk and locking in higher derivatives insurance. The chips were gone.

Money sat back expectantly. On Dec 8, The House delivered chips as the European Central Bank lowered interest rates. That’s devaluing the euro. At first, cheapening the euro increases the value of the dollar – which lowers US stocks (a la Dec 8). But if you’d hedged with derivatives as most of the globe did, you bluffed The House. Plus, the Fed will likely have to follow Europe’s bet up with a see-and-raise to devalue the dollar back into line with the euro (expect it next week, but before options expirations).

In poker, having “the nuts” is holding the best cards, and knowing it. Central banks have given arbitragers the nuts. Continue reading →

If you absolutely must have trading data fast, who’s your huckleberry?

Burstream, apparently. The firm claims it can serve up actionable, meaningful trading data, no matter what market mayhem, in 600 nanoseconds. That’s 600 billionths of a second. The catch? You have to trade at the Nasdaq.

Burstream’s system is being installed at the Nasdaq OMX market center in New Jersey so the exchange’s important proprietary-trading customers will have a split-second – taken to the extreme – advantage. Customers wanting to use these superfast capabilities will be able to load their algorithms onto Burstream servers parked next to boxes housing the Nasdaq’s trade-matching engines.

Burstream systems will go near the Chicago Mercantile Exchange too. The idea is to unify data streams on stocks, commodities and derivatives so decisions about trading on divergence can be made faster than ever before possible. This is, of course, arbitrage.

Burstream says at its website: “Enable your high frequency trading algorithms to hit liquidity when it is revealed. Trade through market bursts while competitors exit the market. Sustained nanosecond speeds, even during message bursts will give your latency-sensitive algorithms a performance advantage.”

What makes Burstream special is its use of field-programmable gate-array chips (FPGAs) that can perform multiple calculations simultaneously, thus delivering a speed advantage over conventional hardware-processing techniques. Continue reading →

While Irene splashed Wall Street, we Coloradans reveled in the ridden glory of the USA Pro Cycling Challenge. The 500-mile route hosted 130 of the world’s top cyclists including Tour de France winner Cadel Evans and both runners-up, Luxembourgers Andy and Frank Schleck.

We were there, clanging bells and hooting our hearts out. Here is winner Levi Leipheimer readying for the time trial that put him in yellow. The peloton left Avon here for Steamboat, and Levi is visible midway in yellow. At the finish, some 250,000 jammed downtown Denver for the epic, lapping conclusion. We are proud of American cycling and our state’s awesome organizational effort.

Speaking of peloton, Wall Street Journal reporter John Jannarone wrote Monday in the Heard column called “Traders Seek Salvation from Correlation” about how stocks race in formation. It’s among the best pieces we’ve seen on modern trading. Jannarone says that S&P 500 stocks show 80% correlation in the past month, meaning eight in ten move synchronously.

This is a source of distress for IR folks trying to distinguish a strong company story from the herd. We’d argue that rather than slamming the collective IR noggin into the burgeoning brick wall of macro-focus investing that you instead track program trading and establish what level is acceptable – and use it as an IR success measure. We wrote about this last week, so we won’t retrace the trodden path.

Why a mirror image across so much of the market? One driver Jannarone posits is Exchange-Traded Fund investing. According to Credit Suisse, these drive some 30% of daily stock volume. Jannarone also notes that trading in S&P 500 E-mini futures contracts is more than four times the combined daily volume of the two biggest S&P 500 ETFs, the SPDR, and iShares S&P 500 Index ETF. Continue reading →

Why are markets dropping like the thermometer at 8pm on Pike’s Peak?

Debt chaos, sour economic data, sure. We’re not market prognosticators, we track behavioral data. Under the skin of the news at market level, institutions shifted to managing portfolio risk about July 21. These events were observable. Algorithmic execution changed, and we saw what started it and what followed.

Large diversified asset managers swapped out of equities. That means they assigned the risk in portfolios to others through agreements that traded risk for safety at a cost. Why not just say “investors sold to manage risk”? It’s not accurate and it won’t be reflected in settlement data.

Of course, hedging produces a range of consequences too. Those underwriting hedges themselves hedge the risk they assume. That prompts speculating in whatever instruments are being used to hedge the hedges. The idea is to offset every point of exposure – like double-entry accounting, a credit for every debit.

Consider the Treasurys market – the one in peril till today. Primary dealers ranging from Banc of America to Goldman Sachs make markets in Treasurys. Average daily trading volume in Treasurys is more than $500 billion. Bond trading in total in the US averages more than $950 billion daily and nearly 80% is government securities.

Continue reading →

It’s a question that burns in the minds of IROs daily. No, not that one. This one: “Will an ISO post to the Nasdaq if the TIF modifier is one other than an IOC?”

Sentences like that are why alcoholism remains widespread. It’s also the reason IR folks don’t want to know how markets work. Too complicated.

Yet if we’re brutally honest, we know we should understand more. I mean, you can’t claim to be a great Yankees fan and not know the rules of baseball.

The sentence above from Nasdaq Reg NMS FAQs says: If I’ve chosen to fill my order up to the designated number of shares at a set price without leaving the Nasdaq to check for better prices elsewhere, suppose the time to complete the order is something besides “immediately or forget it.” Will that order be accepted at the Nasdaq?

This is how markets work. If you want homework, Google “Rule 611 Reg NMS.” Continue reading →