Atlas Macro

Markets

Tail Risk

Probability of extreme moves (crashes, gap moves) beyond what normal distribution predicts. Fatter tails = higher tail risk.

Key points

  • Large daily falls happen far more often than a normal (bell-curve) distribution predicts.
  • Tail risk rises during uncertainty, geopolitical stress or liquidity crises.
  • Investors pay for protection (put options, VIX futures) as insurance.

Example

Under a normal distribution with typical daily volatility, a one-day fall of 20% should essentially never happen. The S&P 500 fell 20.5% on 19 October 1987.

In history

In March 2020 the S&P 500 moved more than 5% on eight separate days. On Black Monday in 1987 the Dow fell 22.6% in a single day.

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