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Definition of 'Cokurtosis'
A statistical measure that calculates the degree of peak of a variable's probability distribution in relation to another variable's peakedness. All other things equal, a higher cokurtosis means that the first variable has a flatter probability distribution.
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Investopedia explains 'Cokurtosis'
In finance, cokurtosis can be used as a supplement to the covariance calculation of risk estimation. Usually cokurtosis is calculated using a security's historic price data as the first variable, and the market's historic price data as the second. This provides an estimation of the security's risk in relation to the market.
For a risk-adverse investor, a lower cokurtosis is preferred, as the security's returns would not be much different from the market's returns (i.e. low beta).
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When it comes to hedge funds, this measure is not reliable on its own.
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Learn how to illustrate an asset return's sensitivity.
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This technique can reduce uncertainty in estimating future outcomes.
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