Cost Concepts, Behaviours, and Estimation (Session 2) Flashcards

1
Q

Cost

A

A cost is a resource sacrificed or forgone to
achieve a specific objective.

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2
Q

Expense

A

An expense is a resource being
consumed/used under accrual accounting.

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3
Q

What would be incurred at every stage of the business process

A

Costs

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4
Q

Should cost be classified into different categories?

A

Yes, to help assist with strategic decision-making

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5
Q

Classifying Costs

A

1) Relevance
2) Behaviour
3) Traceability
4) Function
5) Controllability

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6
Q

Classifying Costs: Relevance

A
  • Relevant costs:
    o Costs that differ between two alternatives (e.g., opportunity cost)
  • Irrelevant costs:
    o Will not make a difference to either alternative  no bearing on
    decision-making (e.g., sunk cost)
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7
Q

Opportunity Cost

A

Organization forgoes benefit when it chooses one alternative over
another

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8
Q

Sunk Cost

A

The cost has already been incurred and cannot now be avoided

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9
Q

Classifying Costs: Traceability

A
  • Cost object:
    o Any one thing or activity for which we measure costs

o Include such things as individual products, product lines, projects,
customers, departments, and even the entire company

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10
Q

Classifying Costs: Traceability

A
  • Direct cost:
    o A cost that can be easily traced to a cost object because a clear cause-
    and-effect relationship generally exists between the two
  • Indirect cost:
    o Incurred for the benefit of more than one cost object and not easily
    or economically traced to a particular cost object
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11
Q

Classifying Costs: Function

A
  • Manufacturing cost (Product cost):
    o Costs that are easily traced to a product (e.g., direct labour, direct materials,
    manufacturing overhead costs)
  • Non-manufacturing cost (Period cost):
    o Costs that cannot be assigned to products

Useful question: Can this product be PRODUCED without incurring the cost? If not, it is manufacturing
(product) cost. Otherwise, it is non-manufacturing (period) cost.

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12
Q

Classifying Costs: Controllability

A
  • Controllable costs:
    o Managers have the authority to cut and manage costs
  • Uncontrollable costs:
    o Managers do not have the authority to cut or manage these costs
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13
Q

Classifying Costs: Behaviour

A
  • Fixed costs: Total cost will not change within the relevant range
  • Variable costs: Varies in proportion to the production level
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14
Q

Cost Behaviour

A
  • Cost behavior is the variation in costs relative to the variation in an
    organization’s activities

o Useful for decision-making such as production, merchandise sales, and services

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15
Q

Relevant Range

A

a span of activity for a given cost object where total fixed costs remain constant and
variable costs per unit of activity remain constant

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16
Q

Marginal costs

A

o the incremental cost of an activity

  • Within the relevant range, variable cost approximates marginal cost, and, accordingly,
    accountants often use variable cost as a measure of marginal cost.
  • Are often relevant in decision making
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17
Q

Total Variable Costs

A

change proportionally with changes in activity levels

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18
Q

Total fixed costs

A

do not vary with small changes in activity levels (e.g. rent)

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19
Q

Mixed costs (sometimes):

A

costs that are partly fixed and partly variable

20
Q

Total costs

A

total variable costs plus total fixed costs

21
Q

Cost function

A

A cost function is an algebraic representation of the total cost of a cost
object over a relevant range of activity

TC = F + VQ

22
Q

Sometimes nonlinear costs exhibit linear cost behaviour over a range of the cost driver, that is …

A

The relevant rage of activity

23
Q

Committed Fixed Costs

A

Cannot be reduced easily without significantly impacting operations and objectives

24
Q

Discretionary fixed costs

A

Can be reduced more easily in the short run without significant changes to operations and objectives.

  • Examples include advertising, R&D, and executive travel
  • These expenditures are often based on past profitability and can be altered during the period
25
Q

Cost driver

A

A cost driver is some input or activity that causes changes in total
cost for a cost object

26
Q

How to estimate future costs?

A
  • Past costs are often used to estimate future, non-discretionary,
    costs. In these instances, one must also consider:

o Whether the past costs are relevant to the decision at hand
o Whether the future cost behaviour is highly discretionary
o Whether the past fixed and variable cost estimates are likely to hold in
the future

27
Q

Types of Cost Estimation Techniques

A

1) Engineered estimate of cost
2) Analysis at the account level
3) Scatter plots
4) Two-point method
5) High-low method
6) Regression analysis

28
Q

Engineered estimates of cost

A
  • Use accountants, engineers, employees, and/or consultants to analyze

o Each activity is analyzed according to the amount of labor time,
materials, and other resources used.
o Costs are assigned according to these measurements

29
Q

Account Analysis

A
  • Review the pattern of a cost over time in the accounting system and use our knowledge of operations to classify the cost as variable, fixed, or mixed
30
Q

Scatter Plot

A
  • A scatter plot is a graphical technique in which data points for past costs
    are plotted against a potential cost driver
  • A scatter plot can assist in determining:
    o More about the behavior of a cost
    o Whether a potential cost driver is viable as Q in the cost function
31
Q

Two-Point Method

A
  • The two-point method uses any two sets of data points for cost and
    a cost driver to algebraically calculate a mixed cost function.
  • These data points can be drawn from a scatter plot.
32
Q

High-Low Method

A
  • The high-low method is a two-point method

o The two data points used to estimate costs are observations with the
highest and the lowest activity levels

o The problem with this method is that the highest- and lowest-cost
driver observations are often atypical and might lie outside the
normal range of activities.

33
Q

Regression Analysis

A
  • Regression analysis is a statistical technique that measures the
    average change in a dependent variable (e.g., cost) for every unit
    change in one or more independent variables (e.g., cost drivers)
  • Regression analysis uses all the available data points and often
    improves the accuracy of a cost function
34
Q

Steps of Regression Analysis

A
  1. Consider the behaviour of the cost
  2. Generate a list of possible cost drivers
  3. Gather data
  4. Plot the cost for each potential cost driver
  5. Perform the regression analysis
  6. Evaluate the appropriateness of each cost driver
    (adjusted R-square)
  7. Evaluate the sign and significance of the cost
    function’s components (p-values and t-stats)
  8. Write the cost function as TC= F + VQ
35
Q

Simple regression analysis

A
  • With simple regression analysis, you develop a cost function by
    calculating values for the statistical relationship between total cost
    and a single cost driver.
36
Q

Multiple regression analysis

A

With multiple regression analysis, you develop a cost function by
calculating values for the statistical relationship between total cost
and two or more cost drivers.

37
Q

Regression Analysis Adjusted R-Square

A

Goodness of fit
* How well does the cost driver explain the behavior (i.e., the
variation) in the cost?

  • The adjusted R-square statistic shows the percentage of variation
    in the Y variable that is explained by the regression equation
38
Q

Regression Analysis p-value

A

Statistical significance of regression coefficients

  • How confident can we be that the actual fixed cost is greater than
    zero (i.e., that there is a fixed component in the cost function)?
    o t-statistic and p-value for the alpha coefficient
  • How confident can we be that the actual variable cost per unit of
    the cost driver is greater than zero (i.e., that there is a variable
    component in the cost function)?
    o t-statistic and p-value for the beta coefficient
39
Q

T-statistic

A

In general, if the t-statistic for the intercept (slope) is
> 2, we can
be about 95% confident (at least) that the slope is not zero

40
Q

Which is more precise, t-value or p-value?

A
  • The p-value is more precise

o The p-value gives the statistical significance of the t-statistic, or the
probability that the coefficient is not different from zero
o If the p-value is less than 5%, we are more than 95% confident that
the true coefficient is non-zero

41
Q

Uses and Limitations

A

Common reasons that past cost information might be unavailable or too
unreliable to use include the following:

  • The organization has operated for only a few periods.
  • The organization’s operations have changed substantially.
  • Inflation, deflation, or other economic changes have altered the
    behavior of costs.
  • The organization operates in an environment where technologies and
    costs change rapidly.
  • The organization’s accounting system does not currently capture and
    report the needed information.
42
Q

Information Quality

A

Is the accounting system able to directly trace costs to individual cost objects?

43
Q

Average Costs

A

o Avoid the use of financial statement costs for decision-making
o Use of average costs will result in either underestimation or overestimation of
future costs

44
Q

Quality of Estimation Techniques

A

o There are advantages and disadvantages of each cost behavior analysis
approach introduced in this chapter

o Perform a cost-benefit analysis when considering spending resources for
developing higher-quality information

45
Q

Reliance on Cost Estimates

A

o Quality of information affects the alternatives that managers may consider
and the weight they place on various pieces of information

46
Q

Multiple Regression Example

A

Multiple regression is used when more than one cost driver may
provide the best estimate of a cost function

  • Several cost drivers may appear to be correlated with the cost we
    are estimating

o Include all the potential drivers in a multiple regression in order to
determine the significance of each

o Then we drop the drivers that have insignificant t-statistics