Financial models based on normal distributions often fail to account for rare catastrophic events
The 1998 collapse of the hedge fund LTCM proved that even the most sophisticated mathematical models can fail when they ignore the probability of rare, catastrophic events.
Long-Term Capital Management (LTCM) was a hedge fund led by Nobel Prize-winning economists who used Gaussian distributions to predict market behavior. Their models suggested that the chance of a major loss was so low it would only occur once in the lifetime of the universe. However, when Russia defaulted on its debt in 1998, market correlations spiked in ways their 'normal' distribution models could not fathom, leading to a $4.6 billion loss in just a few months.
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