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When Genius Failed: The Rise and Fall of Long-Term Capital Management by Roger Lowenstein

 

 

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“Numerical Straitjackets”

What were they thinking? According to Roger Lowenstein, it seems that the partners in Long-Term Capital Management thought they were smarter than everybody else. Some of them had the Nobel prize in Economics to prove it. Lowenstein tells a gripping story in When Genius Failed: The Rise and Fall of Long-Term Capital Management. We learn a lot more about the reclusive John Meriwether than we picked up from Michael Lewis’ Liar’s Poker. Less a gambler and more of a calculated risk taker, Meriwether distinguished himself on Wall Street by hiring very smart people to create models to help understand bond markets. After leaving Salomon Brothers, Meriwether formed a hedge fun, run by the smart team he brought from Salomon and advised by Nobel prize winners Robert Merton and Myron Scholes.

“A central tenet of the partners’ philosophy was that markets were steadily getting more effiucient, more liquid, more “continuous”---more as Merton had envisioned them. With more investors hunting for mispriced securities and with market news traveling faster, it seemed logical that investors would take less time to correct mistaken prices. And on most days, they probably did. An efficient market is a less volatile one (it has no Black Mondays) and, from day to day, a less risky one. Spreads should therefore contract. This boosted the partners’ confidence that spreads would narrow. Indeed, they were confident enough to leverage such bets many times over.”

Lowenstein interviewed many of the players involved in the creation of LTCM and had access to many documents that helped unravel exactly what happened. Lowenstein walks the reader through the drama with clear explanations of what happened and why.

Economics is more art than science, and this book confirms that. The models assumed that the future would behave like the past, in a rational manner. Their mathematical precision, backed up by their academic credentials, and prior success attracted huge amounts of money into the hedge fund. “Long-Term was so self-certain as to believe that the markets would never---not even for a wild swing some August and September---stray so far from its predictions.” Their decline occurred because human and market behavior isn’t always rational and predictable.  LTCM faced what many others have faced in the past: when they needed to sell, no one was there to buy.

“Reared on Merton’s and Scholes’s teachings of efficient markets, the professors actually believed that prices would go and go directly where the models said they should. The professors’ conceit was to think that models could forecast the limits of behavior. In fact, the models could tell them what was reasonable or what was predictable based on the past. The professors overlooked the fact that people, traders included, are not always reasonable. This is the true lesson of Long-Term’s demise. No matter what the models say, traders are not machines guided by silicon chips; they are impressionable and imitative; they run in flocks and retreat in hordes.

Even when traders get things “right,” markets can hardly be expected to oscillate with the precision of sine waves. Prices and spreads vary with the uncertain progress of companies, governments, and even civilizations. They are no more certain that the societies whose economic activity they reflect. Dice are predictable down to the decimal point; Russia is not; how traders will respond to Russia is less predictable still. Unlike dice, markets are subject bit merely to risk, an arithmetic concept, but also to the broader uncertainty that shows the future generally. Unfortunately, uncertainty, as opposed to risk, is an indefinable condition, one that does not conform to numerical straitjackets.”

This is a compelling story about people who thought they were smarter than everyone else. Read about the investors who lost 77% of their capital at a time when the ordinary stock market investor had been more than doubling his money. Eavesdrop on the maneuverings and cooperation among Wall Street players. Learn a lesson or two about the limits of predictions.

Steve Hopkins, October 2, 2000

 

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