Study Notes
Investment Appraisal - Sensitivity Analysis
- Level:
- A Level
- Board:
- AQA
Last updated 22 Mar 2021
Sensitivity analysis is a technique which allows the analysis of changes inassumptionsused inforecasts.As such, it is a very useful technique for use in investment appraisal.
Assumptions Used in Business Forecasting
There are many examples of where assumptions need to be made by management as they prepare important business forecasts: for example:
Cash-flow forecast
- Timing of cash inflows and outflows
- Amount of cash inflows and outflows
- Receivables & payables days
Budgeted Profit
- Sales volumes and unit selling prices
- Gross profit margins & overheads
Investment Appraisal
- Timing and amount of project cash flows
- Period over which project will run
- Amount of initial investment
Breakeven Analysis
- Average selling prices and variable costs
- 通过分类和总固定成本
The key questions to ask whenever you are looking at business assumptions like those listed above are:
- How reliable are the assumptions made?
- What happens if assumptions turn out to be significantly different in reality?
- Which assumptions are most significant to the forecast?
Sensitivity analysishelps answer these questions!
Key Points About Sensitivity Analysis
Allows key assumptions to be changed to analyse effect
Helps judge the degree of risk (e.g. in an investment project)
Recognises that there is no such thing as an accurate forecast
Considersone variable or assumption at a time
本efits and Drawbacks of Sensitivity Analysis
本efits:
Identifies the most significant assumptions (which therefore require closer attention)
Helps assess risk and prepare for a less-than-favourable scenario
Helps make the process of business forecasting more robust
Drawbacks:
Only tests one assumption at a time (many assumptions may be linked)
Only as good as the data on which forecasts are based
A somewhat complicated concept – not understood by all managers
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