3.3 Flashcards

1
Q

investment

A
  • purchase of capital goods
  • expenditure by a business that is likely to yield a return in the future
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2
Q

investment appraisal

A
  • describes how a business might evaluate an investment project to determine if it is likely to be profitable
  • allows businesses to compare investment projects
  • involve the use of capital cost and net cashflow
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3
Q

methods of investment appraisal

A
  • payback period (time)
  • average rate of return (%)
  • discounted cash flow (£)
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4
Q

payback period

A

time it takes for a project to repay its initial investment

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5
Q

benefits of using payback period

A
  • simple and easy to calculate
  • focuses on cash flows
  • emphasises speed of return
  • straightforward to compare competing projects
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6
Q

drawbacks of using payback period

A
  • ignores cash flows after payback is reached
  • takes no account of the ‘time value of money’
  • may encourage short term thinking
  • ignores qualitative aspects of a decision
  • doesn’t create a decision for the investment
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7
Q

average rate of return (ARR)

A
  • annual percentage return on an investment project based on average returns earned by the project
  • calculation (%) = net return per annum / capital outlay (cost) x 100
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8
Q

benefits of using average rate of return (ARR)

A
  • simple to understand
  • easy to calculate
  • focuses on overall profitability of an investment project
  • easy to compare with other key target rates of return
  • uses all the returns generated by a project
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9
Q

drawbacks of using average rate of return (ARR)

A
  • ignores the timing of returns
  • focuses on profits instead of cashflows
  • doesn’t adjust for the time-value of money
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10
Q

critcial path analysis (CPA)

A
  • improves the management of time and resources
  • uses network diagrams
  • helps a business organise its jobs and tasks, as well as planning, organising and resource management
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11
Q

purpose of a critical path analysis

A
  • efficiency
  • decision making
  • time based management
  • working capital control
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12
Q

network analysis

A
  • helps a business manage projects effectively
  • allows the business to find the sequence or path of tasks that are critical to the project
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13
Q

features of a network

A
  • arrows and lines = tasks/activities
  • tasks can be carried out together
  • arrows and lines cannot cross
  • each tasks takes a certain amount of time
  • tasks must be completed in a certain order
  • circles (nodes) = show the start and finish of a task/activity, contain information about the timing of a project
  • always a node at the tart and end of a project
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14
Q

earliest start times (EST)

A
  • top right of nodes
  • calculated by moving left to right across the diagram
  • adding up the numbers to find the largest
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15
Q

latest finish times (LFT)

A
  • bottom right of nodes
  • calculated by moving across the diagram right to left
  • subtracting the numbers to find the smallest
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16
Q

critical path

A
  • shows the tasks which, if delayed, will lead to a delay in the project
  • route through the nodes should take the longest time
  • shown with a line through the network
17
Q

the float

A
  • amount of time by which a task can be delayed without causing the project to be delayed
  • if the number is on the critical path, float equals 0
18
Q

limitations of critical path analysis

A
  • information used to estimate times may be incorrect
  • changes sometimes occur during the life of the project
  • resources may be inflexible
  • network analysis can become complex with hundreds of thousands of tasks to take into account
19
Q

why do businesses forecast sales

A
  • vital planning activity
  • forms the basis for other parts of business planning
  • helps to focus market research
20
Q

extrapolation

A

uses trends established from historical data to forecast the future

21
Q

time series data

A

used to identify:
- trends
- seasonal fluctuations
- cyclical fluctuations
- random fluctuations

22
Q

moving avergage

A
  • takes a data series and ‘smoothes’ the fluctuations in data to show an average
  • aim is to take out extremes of data from period to period
23
Q

variation formula

A

actual sales - trend

24
Q

benefits of extrapolation

A
  • simple method of forecasting
    – not much data required
  • quick and cheap
25
Q

drawbacks of extrapolation

A
  • unreliable if here are fluctuations
  • assumes past trends will continue
  • ignores qualitative factors
26
Q

sales forecasts will be more reliable if

A
  • forecasted for a short period of time
  • revised frequently
  • market is slow to change
  • market research data is available
  • people preparing the data understand it
27
Q
A