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Variance analysis, in budgeting or management accounting in general, is a tool of budgetary control and performance evaluation, assessing any variances between the budgeted, planned, or standard amount, and the actual amount realized. Variance analysis can be carried out for both costs and revenues.
Various techniques used by cost accountants include standard costing and variance analysis, marginal costing and cost volume profit analysis, budgetary control, uniform costing, inter firm comparison, etc. Evaluation of cost accounting is mainly due to the limitations of financial accounting.
An important part of standard cost accounting is a variance analysis, which breaks down the variation between actual cost and standard costs into various components (volume variation, material cost variation, labor cost variation, etc.) so managers can understand why costs were different from what was planned and take appropriate action to ...
According to the PMBOK (7th edition) by the Project Management Institute (PMI), Cost variance (CV) is a "The amount of budget deficit or surplus at a given point in time, expressed as the difference between the earned value and the actual cost." [19] Cost variance compares the estimated cost of a deliverable with the actual cost. [20]
For example, variable manufacturing overhead costs are variable costs that are indirect costs, not direct costs. Variable costs are sometimes called unit-level costs as they vary with the number of units produced. Direct labor and overhead are often called conversion cost, [3] while direct material and direct labor are often referred to as ...
In variance analysis (accounting) direct material total variance is the difference between the actual cost of actual number of units produced and its budgeted cost in terms of material. Direct material total variance can be divided into two components: the direct material price variance, the direct material usage variance.
CVP is a short run, marginal analysis: it assumes that unit variable costs and unit revenues are constant, which is appropriate for small deviations from current production and sales, and assumes a neat division between fixed costs and variable costs, though in the long run all costs are variable. For longer-term analysis that considers the ...
Variance-based methods [27] are a class of probabilistic approaches which quantify the input and output uncertainties as random variables, represented via their probability distributions, and decompose the output variance into parts attributable to input variables and combinations of variables. The sensitivity of the output to an input variable ...