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Economic Cycles5 分钟阅读

The LTCM Collapse (1998) — the Fall of Geniuses

There was a fund led by two Nobel laureates in economics, gathering some of the smartest people in the world. How did that fund end up on the brink of bankruptcy in just a few months?

The Fund of Geniuses

Long-Term Capital Management (LTCM), a hedge fund launched in 1994, included such dazzling talent as Nobel economics laureates Myron Scholes and Robert Merton and a former Fed vice chairman. In its early years it delivered remarkable returns and was called a "fund that could not fail."

Their strategy was to use sophisticated mathematical models to capture tiny price differences between assets such as bonds and profit from arbitrage. The problem was that to magnify those tiny gains, they mobilized enormous debt.

The Trap of 25x Leverage

LTCM used leverage of about 25:1. In effect, it turned 1 of its own money into 25 to invest. When the market moved as expected, profits were amplified 25x, but when it moved the other way, losses grew 25x as well.

In 1998 Russia declared a debt default, and the market swung exactly opposite to the model's assumptions. LTCM lost about 4.6 billion USD within a few months and was pushed to the brink of bankruptcy.

Leverage magnifies drawdowns as much as it magnifies returns. This is why you should ask "how much can I lose and still endure if I'm wrong" before asking "how much can I make."

Why the Fed Stepped In

LTCM was so entangled with many large financial institutions that if it simply went bankrupt, it could spread into a chain collapse (systemic risk). On September 23, 1998, under the Fed's coordination, 14 financial institutions contributed about 3.6 billion USD in exchange for taking over a 90% stake, undertaking an orderly liquidation.

Note that the Fed did not directly put in its own money but rather "coordinated" a joint rescue by private institutions. LTCM left the lesson that "even the smartest model can collapse in the face of extreme markets and excessive leverage."

常见问题

Q. Why did the Nobel laureates fail?

Their models worked well in "normal markets" but did not sufficiently account for extreme events (tail risk) like the Russian default. On top of that, excessive leverage amplified even small errors into fatal losses. It was a failure of leverage and extreme-risk management, not of knowledge.

Q. What is the lesson for individual investors?

The more a strategy "looks certain," the greater the temptation to use heavy leverage — but that very leverage invites bankruptcy in exceptional situations. The key is to limit risk to a level you can survive even in the worst-case scenario.

📋 结果基于历史数据计算,过去的收益不代表未来的收益。

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