Negative covariance is a statistical measure that indicates the extent to which two random variables move in opposite directions. When one variable increases, the other tends to decrease, leading to a negative value for covariance. Understanding negative covariance is essential for analyzing relationships between variables, particularly in the context of correlation and risk assessment.
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