Interpretation of $\mu \cdot \sigma$

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I just read about the coefficient of variation

$$\frac{\sigma}{\mu}$$

and the signal-to-noise ratio

$$\frac{\mu}{\sigma}$$

and asked myself how to interpret the product of mean and variance:

$$\mu \cdot \sigma$$

Is there an intuitive explanation of this quantity?