Daniel Jassy, CFA, is an Investopedia Academy instructor and the founder of SPYderCRusher Research. He contributes to Excel and Algorithmic Trading. David Kindness is a Certified Public Accountant ...

This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...

Variance is a statistical calculation that numerically describes the amount of variation in a data set. If values in a data set wildly fluctuate, variance would be high and predictions based on the ...

A stock's historical variance measures the difference between the stock's returns for different periods and its average return. A stock with a lower variance typically generates returns that are ...

Cost and schedule variance data are part of earned value analysis, which is a tool that small and large businesses use as an early-warning system to identify and manage problems in ongoing projects.

Learn how to calculate stock beta in Excel using historical price data and formulas—enhance your investment analysis with ...

In most GWAS, the participants are assumed to be unrelated and to come from a single population. However, even in carefully designed studies, some degrees of relatedness and population stratification ...

Stock's historical variance measures its return stability over time. Higher variance indicates greater return unpredictability and risk. Calculate variance using Excel to simplify the process for ...