Investment Decisions (AQA A-Level Business): Revision Notes
Investment Decisions
Investment decisions aren't just about crunching numbers. While techniques like payback period, average rate of return (ARR), and net present value (NPV) help analyse the financial side of an investment, managers must also consider a range of qualitative factors – non-numerical elements that can significantly influence whether an investment is worthwhile.
Qualitative factors affecting investment decisions
Managers combine both numerical data and quantitative methods when making investment decisions. However, these decisions must also be placed in a qualitative context, taking into account internal factors within the business and external market uncertainty.
Business objectives and strategy
Investment decisions need to align with a company's overall objectives and strategic direction. An investment that looks good on paper might not actually help the business achieve its goals.
Financial data alone isn't enough. Even if an investment appraisal shows strong financial returns, many businesses will only proceed if the project helps them achieve their objectives.
Example: Strategic Alignment
A business aiming to produce low-cost products for a mass market (such as budget supermarkets) would be unlikely to invest heavily in research and development for high-quality, premium technology. This wouldn't fit their strategic focus.
Human resources investments can sometimes conflict with short-term profit goals. A firm focused on maximising profit for shareholder dividends might be reluctant to invest significantly in staff development, as this reduces immediate returns. Conversely, a business aiming to produce high-quality, technology-driven products would prioritise investment in skilled staff.
Exam tip: When analysing investment decisions, always consider whether the investment fits with the business's stated objectives and strategy. This context is crucial for evaluation.
Corporate image
A company's reputation and public perception can heavily influence investment decisions. Sometimes, protecting or enhancing corporate image matters more than achieving the highest short-term rate of return.
Positive corporate image helps build customer goodwill and creates loyalty in the long term. Businesses may prioritise this over immediate financial gains.
Negative consequences matter. Investment decisions that create bad publicity and damage customer loyalty will harm profits over the long term, even if they look profitable in the short run.
Environmental considerations are increasingly important. A firm with an environmentally friendly image would avoid investments that damage the environment. Some progressive businesses incorporate environmental costs directly into their investment appraisals, accounting for the true impact of their decisions.
Example: Environmental Considerations
A UK retailer known for sustainability (like The Co-op) might reject an investment in cheaper but environmentally harmful packaging, even if it would reduce costs, because this would damage their carefully built corporate image.
Industrial relations
The impact of investment decisions on employees and workplace relationships is another crucial qualitative factor.
Job losses can be a deal-breaker. Investments that result in a loss of jobs may be rejected, even if they show good financial returns. Beyond the ethical considerations, job losses create practical problems.
Multiple effects of redundancies:
- Staff morale suffers when colleagues lose their jobs
- Redundancy payments represent a significant cost that must be factored into the decision
- Trade unions may strike in response to job losses, which affects productivity
- Corporate image can be damaged by negative publicity around job cuts
These interconnected consequences mean that the true cost of an investment involving job losses is often much higher than the initial numbers suggest.
Risk and uncertainty in investments
Even with sophisticated investment appraisal techniques, every investment carries inherent risk and uncertainty. Understanding these limitations is essential for making informed decisions.
The limitations of predictions
Just because the numbers look good doesn't guarantee success. Businesses can use all available investment appraisal methods, but this doesn't mean that a new project will necessarily succeed. There's always a risk involved when investing in any new project.
All investment appraisal methods rely on predictions about future income. These forecasts are never completely accurate – businesses can't rely entirely on their predictions.
Example: Payback Period Inaccuracy
A business might calculate that the payback period for a machine is four years, based on predicted income of $8,000 per year. However, if the investment only generates $3,000 per year, the payback calculation becomes completely wrong.
Market uncertainty and changing circumstances
Market environments are inherently uncertain. Circumstances might change unexpectedly, creating negative impacts on the business.
Factors that can change unpredictably:
- Exchange rates may alter, affecting import/export costs
- Sales may decrease due to economic conditions
- Customer tastes may change, reducing demand for products
- Competitors may become stronger
- Raw material costs may increase
Any of these changes can significantly affect whether an investment delivers the expected returns.
Time and changing predictions
The further into the future, the less reliable the predictions. Any change in the circumstances that businesses base their predictions on means those predictions are no longer valid.
Example: Interest Rate Changes
A business calculates NPV based on an interest rate of 6%, but if the interest rate actually increases to 9%, their net present value results will be inaccurate.
This is particularly important for long-term investments where conditions may change substantially.
Different attitudes to risk
Every firm has a different attitude to risk – this reflects their culture and strategic approach.
Risk-takers are prepared to accept big risks that might lead to large financial rewards. Other businesses prefer to play it safe, opting for less risky investments with more predictable (if lower) returns.
Neither approach is inherently better – it depends on the business's circumstances, financial position, and strategic objectives.
Investment criteria
Many businesses establish investment criteria – specific conditions that must be met before an investment can be approved.
Types of criteria might include:
- Minimum expected return levels
- Job creation targets
- Environmental performance standards
These criteria help ensure that investments align with the business's broader objectives and values, not just financial returns.
Sensitivity analysis
Sensitivity analysis is a technique that tests the assumptions underlying investment decisions. It helps managers understand how robust their decisions are by exploring "what-if" scenarios.
Understanding assumptions and base cases
Investment decisions rely on certain assumptions about future events. These assumptions together create a scenario for the future, known as the base case.
Example: Base Case Assumptions
An investment decision might assume that:
- The price of raw materials will increase by 8% over three years
- Sales revenue will increase by 3% each year
How sensitivity analysis works
Sensitivity analysis examines the base case and considers what would happen if you alter the assumptions. For instance, what if raw materials increase by 10% or 15% instead?
The basic approach:
- The simplest method analyses factors one at a time
- Analysing multiple factors simultaneously can be complicated but is possible with specialist software
- Businesses use this information to evaluate the risk of an investment
Decision-making with sensitivity analysis: If a business could cope with raw materials increasing by 10% but not by 15%, managers need to decide whether the risk is acceptable, or if they could take extra measures to reduce it.
Worked example: music shop investment
Worked Example: Music Shop Investment Decision
A music shop owner is considering investing in larger premises. Her research suggests that operating costs in the new premises will be 10% more than current premises, and that passing trade will increase by 3%.
She decides to use sensitivity analysis to test these two factors.
Testing cost sensitivity: The analysis reveals two important insights:
- If operating costs in the new premises are 12% more, this isn't significantly different from the base case (10%)
- However, if costs are 15% more, the shop will have a substantially reduced cash flow, potentially going negative for a period
Testing passing trade sensitivity: The second analysis shows:
- A 2% increase in passing trade has a big effect on cash flow compared to the base case
- A 1% increase leads to a negative cash flow
Making the decision: Armed with this information, the shop owner can evaluate whether the risk is too great. She might decide not to invest in the new premises due to uncertainty.
Alternatively, she could decide the risk is acceptable but take precautions. For example, she could negotiate with the estate agent and energy suppliers to prevent costs from increasing too much, and make the shop front more appealing to maintain passing trade at a suitable level.
Exam tip: When analysing sensitivity analysis in an exam question, always explain what the business can do with the information. Don't just describe what sensitivity analysis is – evaluate how it helps with decision-making and what actions the business might take as a result.
Benefits of sensitivity analysis
Sensitivity analysis is often called "what-if analysis" because it explores different scenarios. It helps businesses:
- Understand which factors have the biggest impact on success
- Identify where they need to be most careful with their predictions
- Make contingency plans for different outcomes
- Decide whether an investment's risk is acceptable
Key Points to Remember:
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Investment decisions combine quantitative and qualitative factors. Numbers are important, but so are business objectives, corporate image, and industrial relations.
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All investments involve risk and uncertainty. Predictions about the future are never completely accurate, and market conditions can change unexpectedly.
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Qualitative factors can override financial returns. A business might reject a financially attractive investment if it damages their corporate image, conflicts with their strategy, or leads to unacceptable job losses.
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Sensitivity analysis tests how robust decisions are. By examining what happens when assumptions change, businesses can understand their risks and decide whether to proceed, abandon the investment, or take precautions.
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Different businesses have different risk attitudes. There's no single "correct" approach – some businesses accept higher risks for potentially higher rewards, while others prefer safer, more predictable investments.