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What Happened

In 1998, Long-Term Capital Management (LTCM), a highly leveraged hedge fund, suffered massive losses during a period of extreme market stress. The fund required a coordinated bailout led by major financial institutions to prevent broader systemic impact.

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Market Context

LTCM specialized in convergence strategies, betting that price differences between related financial instruments would narrow over time. Typical trades included:
  • government bond spreads
  • interest rate arbitrage
  • relative value positions across global markets
These strategies were considered:
  • low risk
  • statistically reliable
  • highly predictable under normal conditions

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The Core Mechanism

The strategy relied on:
  • historical correlations
  • mean reversion
  • stable market relationships
Because expected returns were small, LTCM used: → extreme leverage to amplify profits.

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What Changed

In 1998, the Russian financial crisis triggered:
  • a global flight to safety
  • sharp shifts in bond markets
  • breakdown of historical relationships
Instead of converging: → spreads widened significantly

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Why It Failed

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1. Leverage

Positions were extremely large relative to capital. → small deviations led to massive losses

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2. Correlation Breakdown

Assets that were assumed to move together diverged. → models based on historical relationships failed

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3. Liquidity Risk

Markets became less liquid during stress. → positions could not be exited efficiently

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4. Model Risk

Risk models underestimated:
  • extreme events
  • tail risk
  • structural market shifts

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Outcome

Losses accumulated rapidly.
  • margin calls increased
  • positions became difficult to unwind
  • systemic risk concerns emerged
A coordinated intervention was required to stabilize the situation.

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Key Insight

Strategies that appear low risk under normal conditions can become highly unstable under stress.

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Structural Lesson

The failure was not due to a single trade. It resulted from:
  • reliance on historical correlations
  • extreme leverage
  • underestimation of tail risk
  • inability to adapt to changing conditions

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Connection to Risk Management

This case illustrates that:
  • low volatility does not equal low risk
  • correlation can break under stress
  • leverage amplifies model errors
  • diversification can fail when it is most needed

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Final Insight

The critical question is not:
“How well did this strategy work in the past?”
But:
“How does it behave when the underlying assumptions fail?”
→ Accounting for Correlated Risk in Trading
→ Kelly vs Fixed Risk
→ The Mathematics of Drawdown