Markets exhibit "fat tails" (leptokurtosis), making extreme events more common than Gaussian models predict—e.g., the 1987 crash was a 21-sigma event under normal assumptions, yet it happened
explain
Fat tails and leptokurtosis describe why financial markets experience extreme events far more often than standard statistical models predict. Under a normal (Gaussian) distribution, price moves beyond 3 standard deviations occur roughly 0.3% of the time, making outliers like a 10-sigma event (or the 1987's 21-sigma crash) virtually impossible in human history.[1]
## Core Concepts
Leptokurtosis means a distribution has excess kurtosis (>3), creating sharper central peaks and fatter tails—more frequent moderate deviations plus clustered extreme shocks. Fat tails specifically highlight those heavy outer regions, where "black swan" events (e.g., market crashes) have higher probability mass than Gaussian assumptions allow, often due to volatility clustering, herding, or leverage feedback loops.[1][2]
## 1987 Crash Example
On October 19, 1987, the S&P 500 dropped 20.5% in one day—a 21-sigma move under daily return norms (mean ~0.03%, std dev ~0.98%). Normal models pegged this at 1 in 10^50 odds, yet it happened because real returns follow power-law or Student-t distributions with leptokurtic traits, amplifying tail risks during panic selling.[ from prior]
## Implications for Markets
VaR and Gaussian risk models underestimate crashes, as seen in 1987, 2008, and recent silver volatility; traders counter with tail-hedging (options) or regime-aware strategies recognizing non-stationary variance.[1][2]
Citations:
[1] Fat Tail Risk
Avenue Investment Management
Fat Tail Risk
Learn how fat tail risk impacts investment portfolios and why traditional models underestimate these extreme market events. Discover protection str...
[2] Fat Tails: Why Mean Reversion is a Rarity in Financial ...
Fat Tails: Why Mean Reversion is a Rarity in Financial Markets for NASDAQ:NVDA by flibusters — TradingView
[3] Tail Risk Explained: Managing Rare Events Leading to ...
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Investopedia
Tail Risk Explained: Managing Rare Events Leading to Portfolio Losses
Discover how tail risk impacts portfolios, why rare financial events matter, and strategies for safeguarding investments against significant, unexp...
[4] Extreme Value Theory and Fat Tails in Equity Markets
https://people.brandeis.edu/~blebaron/wps/tails.pdf
[5] How To Use Kurtosis In Trading With LightningChart JS ...
LightningChart
How To Use Kurtosis In Trading With LightningChart JS Trader
Learn how to use kurtosis technical indicator for developing trading applications with LightningChart JS Trader with high-performance.
[6] Fat Tail
Learnsignal
Fat Tail
A fat tail is a probability distribution that more commonly forecasts movements of 3 or more standard deviations than a normal distribution
[7] Fat-tailed distribution
Fat-tailed distribution - Wikipedia
[8] Investment Perspectives | Fat Tails
Investment Perspectives | Fat Tails | Brown Advisory
[9] Fat Tail Risk: What It Means and Why You Should Be ...
https://www.nasdaq.com/articles/fat-tail-risk-what-it-means-and-why-you-should-be-aware-it-2015-11-02
Perplexity
