Fat Tails (Leptokurtosis)

A probability distribution characteristic where extreme events occur more frequently than a normal distribution predicts.

Risk Management

Definition

Financial returns exhibit fat tails—extreme positive and negative returns occur far more often than the bell curve suggests. Kurtosis measures this "tailedness." Normal distribution predicts a 4+ sigma event roughly once every 31,560 years; in financial markets, they occur every few years. Risk models based on normal distributions systematically underestimate extreme risk.

lightbulb Example

The normal distribution predicts a daily loss of 5%+ should occur once every 14,000 years for the S&P 500. In reality, it has happened dozens of times in the last century—demonstrating extreme fat tails in equity returns.

verified_user Key Points

  • Extreme events occur far more often than normal distribution predicts
  • Kurtosis > 3 indicates fat tails (excess kurtosis > 0)
  • VaR models underestimate risk due to thin-tail assumptions
  • Student's t-distribution better captures fat tails

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