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 ...

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 ...

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 ...

Even the best budgets rarely turn out exactly the way that planners expect. Whenever you're planning in advance for a period of time, you'll inevitably make some mistakes in your estimates, and it's ...

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 ...

Marshall Hargrave is a stock analyst and writer with 10+ years of experience covering stocks and markets, as well as analyzing and valuing companies. Dr. JeFreda R. Brown is a financial consultant, ...

A Gaussian approximation to the distribution of the sample variance is developed using the Wilson-Hilferty (1931) approach. This approximation is compared with the well-known approximations due to Box ...

Financial variance is the difference between budgeted and actual spending. Positive variance means spending less, negative indicates overspending. Regular monitoring reduces surprises and improves ...

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 ...