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 ...

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 ...

Journal of the Royal Statistical Society. Series D (The Statistician) This paper discusses some teaching problems encountered in using $$S_1^2 = \sum^n_{i = 1}(x_i ...

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 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 ...

A new approach to large-sample studies of the variance of the log-odds-ratio estimate of Mantel and Haenszel is developed and used to derive formulas that lead to ...

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 ...

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 ...