Budgeting and Forecasting Methods Flashcards

Question 1

What is a budget in personal and business financial planning?

Accepted Answer

A budget is a financial plan that estimates future revenues and expenses for a specific period and allocates resources to achieve goals. It sets spending limits, links money to priorities, and gives a standard against which actual results can be compared. Budgets are useful for both households and organizations.

Question 2

What is the difference between a budget and a forecast?

Accepted Answer

A budget is a plan of what management intends to happen, usually approved and used as a target. A forecast is an estimate of what is likely to happen based on current information and trends. Budgets set goals and limits, while forecasts update expectations as conditions change.

Question 3

What does a zero-based budget require every expense to justify each period?

Accepted Answer

A zero-based budget requires every expense to be justified from scratch for each new period, rather than simply adjusting last period's amounts. Managers start at a base of zero and must approve each item based on need and expected benefit. This method can expose unnecessary spending but takes more time than incremental budgeting.

Question 4

What is incremental budgeting and what is its main weakness?

Accepted Answer

Incremental budgeting starts with the prior period's budget and adjusts it by a percentage or fixed amount for changes such as inflation or growth. Its main weakness is that it can carry forward inefficient spending and discourage examination of existing costs. It is simple and quick, which explains its common use.

Question 5

What is a master budget and what parts does it usually include?

Accepted Answer

A master budget is the comprehensive set of budgets that together describe an organization's planned operations and financial position. It usually includes an operating budget, such as sales and production budgets, and a financial budget, including a cash budget, budgeted income statement, and budgeted balance sheet. Each part feeds into the next.

Question 6

Why is a cash budget important even when a business expects a profit?

Accepted Answer

A cash budget tracks the timing of cash receipts and payments, which can differ greatly from when revenues and expenses are recorded. A profitable business can run out of cash if customers pay late or large bills fall due before collections arrive. Cash budgets reveal shortfalls early so managers can arrange financing or adjust timing.

Question 7

What is a variable cost, and how does it differ from a fixed cost in a budget?

Accepted Answer

A variable cost changes in total in proportion to activity level, such as materials used in production or sales commissions. A fixed cost stays the same in total over a relevant range of activity, such as rent or insurance premiums. Budgets separate these costs because they respond differently when volume rises or falls.

Question 8

What is a rolling budget and when might an organization use one?

Accepted Answer

A rolling budget is updated by adding a new period as each period ends, so it always covers a fixed number of future periods, such as the next twelve months. It suits rapidly changing environments because plans stay current. The approach takes more effort than an annual budget but reduces outdated targets.

Question 9

What is a time series and why is it the starting point for many forecasts?

Accepted Answer

A time series is a sequence of observations of one variable recorded at regular intervals, such as monthly sales or weekly website visits. Many forecasts start here because past patterns in the data often continue, at least in part, into the future. Analysts first examine the series for trend, seasonality, cycles, and irregular variation.

Question 10

What are the four components usually decomposed from a time series?

Accepted Answer

The four common components are trend, seasonal, cyclical, and irregular. Trend is the long-term direction of the data, seasonal variation repeats over a fixed calendar pattern such as each quarter, cyclical variation reflects multi-year economic swings, and irregular variation is unpredictable random noise.

Question 11

What is a simple moving average and how is it calculated?

Accepted Answer

A simple moving average forecast is the mean of the most recent n observations, where n is the number of periods in the window. Each new period, the oldest value drops out and the newest enters, so the average moves forward with the data. It smooths random fluctuation but lags behind genuine trends.

Question 12

What does exponential smoothing do differently from a simple moving average?

Accepted Answer

Exponential smoothing gives every past observation a weight, with weights declining geometrically as observations get older. Recent data therefore influences the forecast more than older data, and no observations are dropped from the calculation. A smoothing constant between zero and one controls how quickly older values lose influence.

Question 13

What is a naive forecast and why is it useful as a benchmark?

Accepted Answer

A naive forecast assumes the next period will equal the most recent actual value. It requires no calculation or model, which makes it a quick baseline. Any more sophisticated method should be judged against it, since a complex model that cannot beat the naive forecast adds cost without adding accuracy.

Question 14

What is a linear trend forecast, and what assumption does it rely on?

Accepted Answer

A linear trend forecast fits a straight line to historical data, usually by least squares regression on time, and extends that line into future periods. It assumes the underlying pattern of change stays roughly constant over the forecast horizon. When growth is accelerating or leveling off, a straight line can produce systematic errors.

Question 15

What is seasonal adjustment and why do analysts perform it before comparing periods?

Accepted Answer

Seasonal adjustment removes the regular, predictable pattern tied to the calendar, such as higher retail sales in December, so that underlying movement becomes visible. Without it, a normal seasonal peak could be mistaken for growth or a normal dip for decline. Adjusted figures make month-to-month comparisons more meaningful.

Question 16

What is a forecast horizon and why does forecast accuracy usually decline as it lengthens?

Accepted Answer

The forecast horizon is the length of time into the future that a forecast covers, such as a month or five years. Accuracy usually declines as the horizon lengthens because more unexpected events can occur and small errors in the starting data compound over time. Planners often match methods to the horizon they need.

Question 17

What is judgmental forecasting and when is it most appropriate?

Accepted Answer

Judgmental forecasting relies on expert opinion, experience, and intuition rather than on historical data alone. It is most appropriate when data is scarce, when a product or market is new, or when major changes make past patterns unreliable. Many organizations combine it with quantitative methods to refine results.

Question 18

What is the Delphi method used for in forecasting?

Accepted Answer

The Delphi method gathers forecasts from a panel of experts through several rounds of anonymous questionnaires. After each round, a facilitator shares summary results and reasons so experts can revise their views. The process continues until opinions converge, which reduces the influence of dominant personalities in group discussion.

Question 19

What is a sales force composite forecast and how is it built?

Accepted Answer

A sales force composite forecast combines estimates from individual salespeople or regional managers about what they expect to sell in their territories. The estimates are aggregated to produce a company-wide figure. Because those closest to customers provide the inputs, it can capture local insight, although estimates may be biased toward optimism or caution.

Question 20

What is a buyer intention survey, and what is one key limitation?

Accepted Answer

A buyer intention survey asks current or potential customers how likely they are to purchase a product during a future period. Responses are converted into a demand estimate and adjusted for known response rates. A key limitation is that stated intentions frequently overstate actual purchases, so results should be treated as directional rather than exact.

Question 21

What is scenario analysis in forecasting and what is its main purpose?

Accepted Answer

Scenario analysis builds several plausible versions of the future, such as optimistic, base, and pessimistic cases, each with its own set of assumptions. Its main purpose is to show how results change under different conditions and to prepare responses before those conditions arise. It treats uncertainty as something to plan for rather than ignore.

Question 22

What is the difference between a top-down and a bottom-up forecast?

Accepted Answer

A top-down forecast starts with a total market or company-level figure and allocates portions to products, regions, or teams. A bottom-up forecast builds the total by summing detailed estimates from the lowest levels, such as individual products or customers. Top-down is faster, while bottom-up usually captures more local detail.

Question 23

What is a jury of executive opinion forecast and when is it used?

Accepted Answer

A jury of executive opinion forecast pools the judgments of senior managers from areas such as sales, finance, and operations, usually in a meeting. It is used when strategic or long-range forecasts depend on knowledge that is not captured in historical records. Its weakness is that a strong leader can sway the group.

Question 24

Why is it important to document assumptions behind a qualitative forecast?

Accepted Answer

Documenting assumptions makes the reasoning behind a qualitative forecast visible, so others can test, challenge, and update it. Judgmental estimates are vulnerable to bias, optimism, and forgotten context, which written assumptions help expose. When conditions change, the recorded assumptions show exactly which parts of the forecast need revision.

Question 25

What is a variance in budgeting, and how is it calculated?

Accepted Answer

A variance is the difference between an actual result and the budgeted amount for the same item and period. It is commonly calculated as actual minus budget, though the sign convention should be stated clearly. The result shows how far performance moved from plan and in which direction.

Question 26

What is the difference between a favorable and an unfavorable variance?

Accepted Answer

A favorable variance means the result improved profit compared with the budget, such as revenue above plan or costs below plan. An unfavorable variance means the result reduced profit, such as costs above plan or revenue below plan. Labels describe effect on profit, not whether the number is simply higher or lower.

Question 27

What is a flexible budget and why is it useful for variance analysis?

Accepted Answer

A flexible budget restates costs and revenues to the actual level of activity achieved, using the known relationships between costs and volume. It separates the effect of volume changes from the effect of spending efficiency. This makes variance analysis fairer, since comparing actual results to a static budget can mislead when volume differed from plan.

Question 28

What is a price variance and a quantity variance in direct materials?

Accepted Answer

A price variance measures the difference between the actual and standard price per unit, multiplied by the actual quantity purchased or used. A quantity variance, often called an efficiency variance, measures the difference between actual and standard quantity allowed, multiplied by the standard price. Together they explain the total materials variance.

Question 29

What is mean absolute error and how do analysts use it to judge forecasts?

Accepted Answer

Mean absolute error is the average of the absolute differences between forecasts and actual values, so over- and under-forecasts do not cancel each other out. Analysts use it to compare methods on the same data because it stays in the same units as the variable. Lower values indicate more accurate forecasts.

Question 30

How does mean absolute percentage error differ from mean absolute error?

Accepted Answer

Mean absolute percentage error expresses each absolute forecast error as a percentage of the actual value, then averages those percentages. Because it is scaled, it allows comparison across products or series measured in different units. Its drawback is that it becomes unstable or undefined when actual values are zero or very close to zero.

Question 31

What is a tracking signal and what does it help a manager detect?

Accepted Answer

A tracking signal is the running sum of forecast errors divided by the mean absolute deviation, showing whether errors are random or consistently in one direction. It helps a manager detect bias, such as persistent over-forecasting or under-forecasting. When the signal passes a chosen control limit, the forecasting method should be reviewed.

Question 32

Why should variance analysis lead to action rather than only assigning blame?

Accepted Answer

Variance analysis is meant to explain why results differed from plan and what to do next, not simply to identify who is at fault. Investigating causes may reveal flawed budget assumptions, changed market conditions, or process problems that managers can correct. Focusing on learning encourages honest reporting, which makes future budgets more accurate.

Question 33

What is a budget cycle and what are its typical stages?

Accepted Answer

A budget cycle is the recurring sequence of planning, preparing, approving, executing, monitoring, and reviewing a budget. Planning sets goals and assumptions, preparation gathers departmental requests, and approval reconciles them into a final plan. Execution and monitoring compare actual results to plan, and review feeds lessons into the next cycle.

Question 34

What is a driver-based budget and what does it link to?

Accepted Answer

A driver-based budget links planned costs and revenues to operational drivers, such as units produced, machine hours, or number of customer orders. When a driver changes, the linked amounts update automatically, which keeps the budget aligned with activity. It is especially useful for planning variable costs and for scenario testing.

Question 35

What is a capital budget and how does it differ from an operating budget?

Accepted Answer

A capital budget plans spending on long-lived assets such as equipment, buildings, or major software, with benefits expected over several years. An operating budget plans recurring revenues and expenses for a shorter period, usually one year. Capital decisions are typically evaluated with methods that account for the time value of money.

Question 36

How does a forecast feed into the budget process?

Accepted Answer

A forecast provides the expected level of sales, costs, and cash flows that budget planners use as starting inputs. The budget then translates those expectations into targets, spending authority, and resource allocations. Because forecasts change, many organizations update them during the year and compare them with the original budget to decide on corrective action.

Question 37

What is a reforecast and how does it differ from the original budget?

Accepted Answer

A reforecast is a revised estimate of results for the rest of a period, made using actual results to date and updated assumptions. Unlike the original budget, which is fixed as a target, a reforecast reflects current expectations and is not used to judge performance against the plan. Companies often reforecast monthly or quarterly.

Question 38

What is a sensitivity analysis in budgeting and what does it reveal?

Accepted Answer

Sensitivity analysis changes one key assumption at a time, such as sales volume or raw material prices, and measures how much the budget result changes. It reveals which assumptions most affect profit or cash, so planners know where to focus attention. It does not capture several assumptions changing together, which scenario analysis addresses.

Question 39

How can an organization use forecast error history to improve future forecasts?

Accepted Answer

Tracking forecast errors over time reveals whether a method is biased, unstable, or consistently off in certain periods or segments. Analysts can then adjust the method, add relevant drivers, or change the weighting of judgment and data. Regularly comparing forecasts to outcomes turns forecasting into a learning process rather than a one-time exercise.

Question 40

Why is it important to communicate uncertainty when presenting a forecast to decision makers?

Accepted Answer

Presenting only a single number can make a forecast seem more certain than it is, which may lead to rigid plans and surprises. Showing a range, scenarios, or confidence bounds helps decision makers judge risk and prepare contingencies. Clear communication of uncertainty builds trust because the forecast's limits are stated openly.

Budgeting and Forecasting Methods Flashcards

1Budgeting Fundamentals

2Time Series Forecasting Basics

3Judgmental and Qualitative Forecasting

4Variance Analysis and Accuracy Measures

5Applied Planning and Forecast Use

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