Budgeting Flashcards

1
Q

what is a budget

A

a quantitative expression of a plan of action prepared in advance of the period to which it relates

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2
Q

reasons for budgeting:

A
  • Planning
  • Controlling costs
  • Co-ordination (working towards same goal)
  • Communication
  • Motivation
  • Evaluation
  • Authorisation
  • Resource allocation
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3
Q

elements of the budgetary process

A
  • long term objectives
  • budget committee (don’t make budget)
  • budget manual
  • limiting factor (principle budget factor)
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4
Q

limiting factor (principle budget factor)

A
  • Stops you from reaching budget
  • eg if sales is limiting facotr than sales budget must be produced first
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5
Q

what is on a budget manual

A
  • budget process
  • organisation chart
  • budget timetable
  • proformas
  • account codes
  • key assumptions
  • budget officer
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6
Q

what is the budget committee

A
  • Don’t make the budget
  • responsible for communication policy guidelines to the people who prepare the budget and for setting and approving budget
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7
Q

final stages of budget processing:

A
  1. Initial budgets are prepared
  2. Initial budgets are reviews and integrated into the complete budget system
  3. Master budget is prepared
  4. Comparisons between budget and actual results (variance analysis)
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8
Q

what is a functional budget?

A

budget of income and/or expenditure which applies to a particular function

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9
Q

sales budget

A

sales budget= sales volume x selling price per unit

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10
Q

production budget

A

how much you want to manufacture
sales budget + closing inventory - opening inventory

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11
Q

two types of material budget

A
  • usage budget
  • purchases budget
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12
Q

material usage budget=

A

production budget x standard material per unit

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13
Q

labour budget=

A

production budget x time per unit

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14
Q

what is the master budget and what does it comprise of:

A

Budget into which all the subsidiary budgets are consolidated
Compromise:
- budgeted profit and loss account
- budgeted balance sheet
- budgeted cash flow statement

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15
Q

what is a cash budget

A

detailed budget of estimated cash inflows and outflows incorporating both revenue and capital items

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16
Q

what is sensitive analysis?

A

one change in assumption can change a budget

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17
Q

forecast equation

A

y= a + bx

y = total cost
a = fixed cost
b = variable cost
x = no of units/activity

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18
Q

high low method

A
  1. Pick highest and lowest levels of activity
  2. Calculate variable cost - Change cost/change units
  3. Find fixed cost
  4. Calculate expected cost
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19
Q

linear regression

A

using all data sets when deriving equation of a straight line

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20
Q

advantages and disadvantages of linear regression

A

ADV - all data points taken into account
DIS - regression assumes historical behaviour of the data continues into the foreseeable future. Predictions only reliable if there is a significant correlation between the data

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21
Q

coefficient of determination

A

r^2
- how much of the variation in the dependant variable is explained by the variation of the independent variable

22
Q

limitations of correlation

A
  • correlation doesnt mean causation
  • correlation and causality are not the same thing
23
Q

what is a time series

A

a set of values for some variable (eg monthly sales) which varies with time

24
Q

components of a time series

A
  • Basic trend
  • Cyclic variation - economic cycles of booms and slumps
  • Season variations
  • Residual variations - irregular/random fluctuations usually causes by specific factors to time series
25
Q

what is a moving average

A

set of calculations used to smooth out the variations in a time series to identify a trend

26
Q

two types of seasonal variation

A
  • additive model
  • multiplicative model
27
Q

characteristics of big data

A
  • volume
  • velocity
  • variety (structured/unstructured data)
  • veracity (clean free from bias)
28
Q

data analytics

A

process of collecting, organising and analysing large sets of data to generate trends and other information to aid decision making

29
Q

data mining

A

process of sorting through data to identify patterns and relationships betweens different items, usually with the help of statistical algorithms

30
Q

structured data

A

data that can be contained within a field of data record or file

31
Q

unstructured data

A

data that is not easily contained within structured data fields, such as pictures, videos webpages, PDF files, emails or blogs

32
Q

big data benefits

A
  • drives innovation
  • helps create a competitive advantage
  • improves productivity
33
Q

big data limitations

A
  • difficult to convert into useful information
  • lack of skilled people
  • data security and protection issues
34
Q

what is artificial intelligence?

A

the use of computers to do tasks which are thought to require human intelligence

35
Q

machine learning

A

computers do things rather than follow pre-programmed rules. Eg find patterns in data and use models to make predictions

36
Q

top down budget

A

a budget is set without allowing the ultimate budget holder to have the opportunity to participate in the budgeting process. Also called imposed budget or non participative

37
Q

bottom up budget

A

budget holders have the opportunity to participate in setting their own budgets. Also called participative budget

38
Q

types of budget

A
  • continuous/rolling budget
  • incremental budget
  • zero based budget
39
Q

continuous/rolling budget

A

prepared a year ahead and is updated regularly by adding a further accounting period

40
Q

incremental budget

A

uses the previous periods budget as a starting point and then adds increments as it sees necessary

41
Q

zero based budget

A

starts the budgeting process from zero because it does not take anything for granted

42
Q

beyond budgeting

A

the idea that companies need to move beyond budgeting because of the inherent flaws in budgeting

43
Q

difference between budgeting and forecasting

A
  • prediction of what is likely to happen in the future given a set of circumstances
  • budget - quantified plan of what the organisation intends should happen in the future
44
Q

selection bias

A

sample selection does not represent population

45
Q

self selection bias

A

when individuals select themselves

46
Q

observer bias

A

researcher allows their assumptions to influence the observation

47
Q

omitted variable bias

A

key data is not included in the analysis

48
Q

cognitive bias

A

the presentation of data may be misleading

49
Q

confirmation bias

A

people can see data that confirms their beliefs and ignore other items

50
Q

survivorship bias

A

the sample contains only items that survived a previous event