nswd



traders

‘Life is what happens while you’re busy making other plans.’ –John Lennon

3555.jpg

Japan’s surprise intervention in currency markets has caught some of the world’s largest hedge funds by surprise, with big names suffering sharp reversals as the yen tumbled.

The Japanese currency saw its biggest daily fall this year on Wednesday, dropping more than 3 per cent from a 15-year high of Y82.88 against the dollar after the Japanese ministry of finance said that it had staged an intervention in the market, the first such action by Tokyo in six years.

Three London-based hedge funds suffered on their bullish yen positions, according to people familiar with the funds’ performances. All three funds use computer models to automatically spot and ride market trends, making them vulnerable to unexpected events including surprise action by governments and central banks. Other funds understood to have been hit by the intervention include several large global macro hedge funds and currency trading specialists.

{ Financial Times | Continue reading }

‘Most people, including the author of this article, think it is not worth the trouble to be concerned about who the author is. They are happy not to know his identity, for then they have only the book to deal with, without being bothered or distracted by his personality.’ –Kierkegaard

8989.jpg

Mysterious and possibly nefarious trading algorithms are operating every minute of every day in the nation’s stock exchanges.

What they do doesn’t show up in Google Finance, let alone in the pages of the Wall Street Journal. No one really knows how they operate or why. But over the past few weeks, Nanex, a data services firm has dragged some of the odder algorithm specimens into the light.

The trading bots visualized in the stock charts in this story aren’t doing anything that could be construed to help the market. Unknown entities for unknown reasons are sending thousands of orders a second through the electronic stock exchanges with no intent to actually trade. Often, the buy or sell prices that they are offering are so far from the market price that there’s no way they’d ever be part of a trade. The bots sketch out odd patterns with their orders, leaving patterns in the data that are largely invisible to market participants.

{ The Atlantic | Continue reading }

artwork { Jean-Michel Basquiat }

related { Quants: The Alchemists of Wall Street | video | Thanks Douglas }

‘Battle not with monsters, lest you become a monster, and if you gaze into the abyss, the abyss also gazes into you.’ –Nietzsche

465654.jpg

Above the Restoration Hardware in this Jersey Shore town, not far from the Navesink River, lurks a Wall Street giant.

Here, inside the humdrum offices of a tiny trading firm called Tradeworx, workers in their 20s and 30s in jeans and T-shirts quietly tend high-speed computers that typically buy and sell 80 million shares a day.

But on the afternoon of May 6, as the stock market began to plunge in the “flash crash,” someone here walked up to one of those computers and typed the command HF STOP: sell everything, and shutdown.

Across the country, several of Tradeworx’s counterparts did the same. In a blink, some of the most powerful players in the stock market today — high-frequency traders — went dark. The result sent chills through the financial world.

After the brief 1,000-point plunge in the stock market that day, the growing role of high-frequency traders in the nation’s financial markets is drawing new scrutiny.

{ NY Times | Continue reading }

Your future, our clutter

4566.jpg

During the last two decades, the American economy has suffered from a series of legal, fiscal and monetary policies that have favored speculation over production. The result has been the financialization of the economy, which has been characterized in economic terms by an unhealthy growth in debt at all levels of the economy and in cultural terms by the monetization of all values. Entities such as Fannie Mae and Freddie Mac were perfect examples of how the free market had been corrupted before the 2008 financial crisis. The crisis itself demonstrated, however, that the logic of the system required all large institutions to suffer from a similar flaw. Yet these flaws were not inevitable, even at the height of the crisis; they were deliberate political choices. While stakeholders of some institutions, such as Lehman Brothers, were wiped out, those of other firms were not and some were even made whole. The most egregious example of this was the handling of American International Group (AIG), the insurance giant that morphed itself into a giant hedge fund while enriching the officials responsible for some of the most ill-informed judgments in financial history. There was no reason for the government to handle the AIG failure in a manner that made whole foreign counterparties and Goldman Sachs; alternatives including offering a blanket credit guarantee to the insurance company that would have calmed markets and obviated the necessity of the company paying out one hundred cents on the dollar for its reckless insurance bets on synthetic mortgage obligations. While the result – avoidance of the extinction-level-event that an AIG failure would have been for the financial system – was the correct one, the means by which it was achieved furthered the agenda of socializing losses and privatizing gains and bred deep distrust in the government and the system.

Much of the crisis could have been avoided had policymakers and investors operated under realistic assumptions about how markets and economies work. Several years ago, former Federal Reserve Chairman Alan Greenspan described the failure of interest rates to react in the manner he expected as a “conundrum.” We now know that Mr. Greenspan was operating under a false set of assumptions about human nature, as well as a misguided understanding about how market participants behave. As noted in my book, had Mr. Greenspan been an acolyte of Hyman Minsky instead of Ayn Rand, he would have been less susceptible to such a fatal conceit. But beyond that, the real conundrum in modern markets is the continued reliance of investors and policymakers on two false mantras. The first is that markets are efficient; and the second is that investors are rational. Both assertions are so decidedly specious that one has to question both the sanity or the intelligence of those who cling to them.

{ Michael E. Lewitt | Continue reading }

A day after a harrowing plunge in the stock market, federal regulators were still unable on Friday to answer the one question on every investor’s mind: What caused that near panic on Wall Street? (…) The cause or causes of the market’s wild swing remained elusive, leaving what amounts to a $1 trillion question mark hanging over the world’s largest, and most celebrated, stock market. (…)

A government official who was involved in the investigation said regulators had moved away from a theory that it was a trading mistake — a so-called fat finger episode — and were examining the links between the futures and cash markets for stocks.

In particular, this official said, it appeared that as stock trading was slowed on the New York Exchange when big price moves started, orders moved automatically to other, electronic exchanges that did not have pricing restrictions.

The pressure in the less-liquid markets was amplified by the computer-driven trades, which led still other traders to pull back. Only when traders began to manually respond to the sharp drop did the market seem to turn around, said the official, who spoke on the condition of anonymity because the investigation was not complete.

On Friday evening, another government official directly involved in the investigation said that regulators had not yet been able to completely rule out any of the widely discussed possible causes of the market’s gyrations.

This official, who also spoke on the condition of anonymity, said that regulators had collected statistical and trading data from stock and futures exchanges, and had begun cross-analyzing that with trading reports from brokerage firms and large market participants. Regulators have also gathered anecdotal accounts of what happened from hedge funds and other trading firms. (…)

Over the last five years, the stock market has split into a plethora of new competing hubs and trading outlets, a legacy of deregulation earlier this decade and fast-paced technological change. On Friday, the rivalry between the two main exchanges erupted into view as each publicly pointed the finger at the other for being a main cause of the collapse on Thursday, which sent shockwaves around the globe. (…)

The absence of a unified system to halt trading in individual stocks led to bitter accusations between exchanges on Friday. Robert Greifeld, chief executive of Nasdaq OMX, appeared on CNBC to criticize the New York Stock Exchange for halting trading for up to 90 seconds in half a dozen stocks on Thursday.

“Stopping for 90 seconds in time of crisis is exactly equivalent to not picking up the phone,” Mr. Greifeld said.

A few minutes later, Duncan L. Niederauer, chief executive of NYSE Euronext, responded in an interview on CNBC, blaming Nasdaq’s computers for continuing trading while the market was in free fall.

{ NY Times | Continue reading | update: As several stocks declined sharply under heavy selling pressure, the New York Stock Exchange, one of the largest pools, stopped or slowed trading in particular stocks. | Washington Post | full story }

photo { Ron Gallela | SMASH HIS CAMERA, Opening with the artist at Clic Gallery, 424 Broome Street, NYC, June 10th | Read more }

‘Tell the truth and run.’ –George Seldes

8778.jpg

{ Elliott waves. Bull Market: Left to centre. Bear Market: Right to centre. | The Elliott Wave Principle is a detailed description of how financial markets behave. The description reveals that mass psychology swings from pessimism to optimism and back in a natural sequence, creating specific wave patterns in price movements. Each pattern has implications regarding the position of the market within its overall progression, past, present and future. | Wikipedia | Continue reading }

Are you a lucky little lady in the City of Light, or just another lost angel

am.jpg

A paper by Mark Grinblatt and two Finnish guys whose names I can’t pronounce (Linnainmaa & Keloharju), took data from Finnish military IQ tests, and combined them with transactional data on the Helsinki Stock Exchange. The paper is cleanly titled, “Do Smart Investors Outperform Dumb Investors?”

From the abstract:

This study analyzes whether high IQ investors exhibit superior investment performance. It combines equity return, trade, and limit order book data with two decades of scores from an intelligence test administered to nearly every Finnish male of draft age. Controlling for wealth, trading frequency, age, and determinants of the cross-section of stock returns on each day, we find that high IQ investors exhibit superior stock-picking skills, particularly for purchases, which earn up to 11% more per year than the purchases of below average IQ nvestors.

{ Falken Blog | Continue reading }

photo { Justine Reyes }

Voodoo smile, Siamese twins

dw1.jpg

While I am not a fan of most big firm fundamental analysts, over the years, Merrill Lynch has had some sharp guys in their Chief Strategist/Economist positions. (…)

2. Excesses in one direction will lead to an opposite excess in the other direction.

3. There are no new eras – excesses are never permanent.

4. Exponential rising and falling markets usually go further than you think.

5. The public buys the most at the top and the least at the bottom.


{ Lessons from Merrill Lynch | via Barry Ritholtz | Continue reading }

Things are not the same, since we broke up last June

fi.jpg

Don Boudreaux had an oped in Saturday’s WSJ, on “Learning to Love Insider Trading.” The economic case against banning insider trading seems strong, yet the public overwhelmingly wants bans. (…)

Even with laws against insider trading, the speculation game is and must remain ridiculously uneven. Today most inside info gets into prices before official announcements, and well-connected well-organized investment groups are vastly better equipped to find and exploit pricing errors than almost all amateurs.

{ Overcoming Bias | Continue reading }

One of the nice aspects of trying to solve investment puzzles is recognizing that even though I am not always going to be right, I don’t have to be. Decent portfolio management allows for some bad luck and some bad decisions. When something does go wrong, I like to think about the bad decisions and learn from them so that hopefully I don’t repeat the same mistakes. This leaves me plenty of room to make fresh mistakes going forward. I’d like to start today by reviewing a bad decision I made and share with you what I’ve learned from that error and how I am attempting to apply the lessons to improve our funds’ prospects.

At the May 2005 Ira Sohn Investment Research Conference in New York, I recommended MDC Holdings, a homebuilder, at $67 per share. Two months later MDC reached $89 a share, a nice quick return if you timed your sale perfectly. Then the stock collapsed with the rest of the sector. Some of my MDC analysis was correct: it was less risky than its peers and would hold-up better in a down cycle because it had less leverage and held less land. But this just meant that almost half a decade later, anyone who listened to me would have lost about forty percent of his investment, instead of the seventy percent that the homebuilding sector lost.

I want to revisit this because the loss was not bad luck; it was bad analysis.

{ David Einhorn | Continue reading }

related { Glossary of Trading Terms and Phrases. }



kerrrocket.svg