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 ...

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 ...

While Excel is useful for many applications, it is an indispensable tool for those managing statistics. Two common terms used in statistics are Standard Deviation and ...

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 ...

In this paper we discuss three mean-variance location problems. Two of them are constrained problems where one performance measure—mean of the weighted distance, or variance, is minimized subject to ...

This paper shows how to perform sensitivity analysis for Mean-Variance (MV) portfolio problems using a general form of parametric quadratic programming. The analysis allows an investor to examine how ...

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 ...

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