Asked by Dominic Gomez on May 07, 2024

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Variance is a measure of the variability of returns,and since it involves squaring the deviation of each actual return from the expected return,it is always larger than its square root,its standard deviation.

Variance

A measure of the distribution’s variability. It is the sum of the squared deviations about the expected value.

Standard Deviation

A statistical measure of the dispersion or variability of a set of numbers, indicating how much the individual numbers differ from the mean.

Deviation

The difference between a specific value and a reference point, often used in statistics to measure variability.

  • Comprehend the determinants of risk encompassing variance, standard deviation, and the coefficient of variation.
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EK
Egemen KonuralpMay 11, 2024
Final Answer :
True
Explanation :
Variance involves squaring the deviation of each actual return from the expected return, making it always larger than its square root (standard deviation).