Difference between revisions of "Black Swan"
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== Definition == | == Definition == | ||
'''Black Swan'''. A term popular in BCM, based upon a book of the same name in which the author defines a Black Swan as an event that has not been predicted by normal scientific or probability methods. | '''Black Swan'''. A term popular in BCM, based upon a book of the same name in which the author defines a Black Swan as an event that has not been predicted by normal scientific or probability methods. | ||
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| + | Black swan events can take many shapes, from terrorist attacks to disruptive technologies. These events typically fit fat-tailed probability distributions, i.e. they exhibit greater kurtosis than a normal distribution. Unlike other types of risk events which are relatively certain and predictable, such as car accidents and health events (‘white swans’), ‘black swans’ cannot be predicted by relying on backward-looking probabilistic approaches that assume normal distributions<ref>Bank of International Settlements, 2020</ref> | ||
== See Also == | == See Also == | ||
* [[Green Swan]] | * [[Green Swan]] | ||
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| + | == References == | ||
| + | <references/> | ||
[[Category:Business Impact Analysis]] | [[Category:Business Impact Analysis]] | ||
Latest revision as of 15:29, 12 May 2021
Definition
Black Swan. A term popular in BCM, based upon a book of the same name in which the author defines a Black Swan as an event that has not been predicted by normal scientific or probability methods.
Black swan events can take many shapes, from terrorist attacks to disruptive technologies. These events typically fit fat-tailed probability distributions, i.e. they exhibit greater kurtosis than a normal distribution. Unlike other types of risk events which are relatively certain and predictable, such as car accidents and health events (‘white swans’), ‘black swans’ cannot be predicted by relying on backward-looking probabilistic approaches that assume normal distributions[1]
See Also
References
- ↑ Bank of International Settlements, 2020
