Risk assessment in investment appraisal techniques Flashcards
Risk preferences of investors?
The attitude of investors to risk plays a vital part in the investment appraisal process.
Investors can be categorised as one of the following in terms of risk preference.
- Risk-seeking investors:
these are investors who accept greater volatility and uncertainty in investments or
trading in exchange for anticipated higher returns.
Risk-seeking investors are more interested in capital gains from speculative assets than investments with lower risks with lower returns.
For example, a risk seeker would prefer
investing their money in stocks as they have the potential to give higher returns than fixed deposits.
- Risk-averse investors:
these are investors who avoid risks and prefer lower returns with known risks rather than higher returns with unknown risks. Most investors and managers are risk-averse and require an additional return
to compensate for any additional risk.
For example, a risk-averse person would prefer investing in fixed deposits, government bonds and so on that involve less risk and provide a more certain return compared to stocks.
- Risk-neutral investors: these investors overlook risk when deciding between investments. They are only concerned with an investment’s estimated return.
An investor faces a ‘risk-return trade off’ when considering investment decisions.
Higher risk is linked with a greater probability of a higher return and lower risk with a greater probability of a smaller return
Risk assessment models?
Risk assessment models
All companies face the risk of variable returns.
The actual outcome could be better (from upside potential) or worse than expected (from downside risk exposure).
For example, a company cannot predict future sales with certainty because
they could be higher or lower than expected.
An important aspect of risk assessment is to identify and assess potential sources of risk in terms of their potential impact on the company and how likely (probable) they are.
What are the risk assessment models that incorporate risk into decision making?
There are several risk assessment models that incorporate risk into decision making.
These techniques involve both non-probabilistic as well as probabilistic approaches (that use a range of possible values) to project appraisal.
They include:
- Non-probabilistic approaches
– sensitivity analysis
– scenario analysis
– simulation modelling - Probabilistic approaches:
– expected net present value (ENPV) and standard deviation
– event tree diagrams
- Risk-adjusted discount rate (covered in Chapter 12)
Sensitivity analysis?
Sensitivity analysis
Sensitivity analysis is a non-probabilistic approach used in investment appraisal that allows the analysis of changes in
assumptions made in the forecast.
It is a tool for quantitative risk assessment that predicts the outcome of a decision by
ascertaining the most critical variables and their effect on the decision.
It examines how sensitive the returns on a project are to changes made to each of the key variables, such as any increase or decrease in:
- capital costs
- projected sales volumes
- variable costs
What is the methodology for Sensitivity analysis?
The methodology follows the steps below:
- Specify a base case situation and calculate the NPV of the project based on the best estimates and assumptions.
Only projects that generate a positive NPV are accepted.
- Calculate the percentage change (or sensitivity) of each of the variables that would result in the breakeven position
(with a NPV of zero).
Any further change resulting in negative NPV would change the decision.
For example, what impact would the projected sales have on NPV if they decreased or increased by 10%?
What if demand fell by 10% compared to the original forecasts? Would the project still be viable? How much of a fall in demand can be accepted before the NPV falls below zero or below the breakeven?
Sensitivity margin = (NPV ÷ PV of flow under consideration) × 100%
The lower the sensitivity margin, the more sensitive the decision to the particular variable under consideration.
A small change in the estimate could change the NPV from positive (accept) to negative (reject).
Advantages of sensitivity analysis?
Advantages of sensitivity analysis
- The analysis is based on a simple theory, can be calculated on a spreadsheet and is easily understood.
- It identifies areas and estimates crucial to the success of the project. These critical areas are carefully monitored if the project is chosen.
- It provides information to allow management to make subjective judgements based on the likelihood of the various possible outcomes.
- The analysis is used by a range of organisations. For example, this technique is popular in the National Health Service (NHS) for capital appraisal
Dis-advantages of sensitivity analysis
Disadvantages
- The technique changes one variable at a time which is unlikely to happen in reality. For example, if the cost of materials goes up, the selling price is also likely to go up. However, simulation techniques (discussed later) take into consideration changes in more than one variable at a time.
- It also does not identify other possible scenarios.
- It considers the impact of all key areas (one at a time). The amount of information may overwhelm the decision maker.
- The probability of each of the assumptions is not tested.
- It only provides information to help managers make decisions. It is not a technique in itself for making a decision
Scenario analysis ?
Scenario analysis
Scenario analysis provides information on possible outcomes for the proposed investment by creating various scenarios
that may occur.
It evaluates the expected value of a proposed investment in different scenarios expected in a certain situation.
As with sensitivity analysis, the method involves calculating NPV.
Unlike sensitivity analysis, scenario analysis also calculates NPVs in other possible scenarios or ‘states of the world’.
The most used scenario analysis involves calculating NPVs in three possible states of the world:
- a most likely view,
- an optimistic view and
- a pessimistic view.
By changing a number of key variables simultaneously, decision makers can examine each possible outcome from the
‘downside’ risk and ‘upside’ potential of a project, as well as the most likely outcome.
However, this technique has several
key weaknesses:
a. as the number of variables that are changed increases, the model can become increasingly difficult and time
consuming;
b. it does not consider the probability of each ‘state of the world’ occurring when evaluating the possible outcomes;
and
c. it does not consider other scenarios that may occur
Simulation modelling?
Simulation modelling
The Monte Carlo simulation method is an investment modelling technique that shows the effect of more than one variable
changing at the same time.
Complex structures of capital investment are investigated through simulation techniques, particularly modelling the impact of uncertainty.
Simulation models are programmed on computers to deal with variable factors by use of random numbers.
The model identifies key variables that drive costs and revenues (such as market size, selling price, initial investment, changes in material prices, rates of use of labour and materials and inflation).
It then assigns random numbers and probability statistics to each variable that might affect the success or failure of a proposed project.
For example, if the most likely outcomes are thought to have a 50% probability, optimistic outcomes a 30% probability and pessimistic outcomes a 20% probability, then a random number representing those attributes can be assigned to costs and revenues in those proportions.
These randomly selected values are used to calculate the project NPV.
Computer modelling repeats the decision many times, calculating a different NPV each time.
This gives management a view of all possible outcomes. The resulting set of NPVs can be used to show how the NPV varies under the influence of all the variable factors.
A more informed decision can then be taken depending on the management’s attitude to risk. This approach can also be used to test the vulnerability of outcomes to possible variations in uncontrolled factors.
The key weaknesses of this technique are as follows:
- It is not a technique for decision making, rather providing information about the possible outcomes upon which management makes a decision.
- It is a complex method which is not simple to calculate.
- The time and costs involved may outweigh the benefits gained from the improved decision making
Expected net present value ?
Expected net present value
Unlike the previous approaches, this method makes use of probabilities.
In a complex world, most investment appraisal decisions are based on forecasts which are subject to uncertainties, resulting in multiple outcomes.
It is imperative that these uncertainties are reflected in the investment decision. These uncertainties can be captured by assigning a
probability to each outcome.
The project performance is evaluated based on its expected value derived on a probability-driven cash flow.
To understand the term ‘probabilities’ or ‘probability of outcomes’, some key points are illustrated below:
- The numerical value of probability ranges between 0 to 1 and the sum of probabilities must always be exactly 1.
For example, the table below shows two scenarios of a new product being launched in the market.
The result is distributed between the probability of it being profitable (which is 0.9) and the probability of it going into loss (which is 0.1).
Outcomes Probability:
Profit 0.9
Loss 0.1
Total 1.0
Expected net present value continued…
- Usually, the probability is estimated based on historical data or past performance trends. In the above example, the probabilities would have been derived by looking at company statistics, its past record and reputation, the trend of
similar products in the market, their profitability and their success rate. - In practice, probabilities can be subjective. Investment managers can assign different probabilities based on their experience and market research.
These should be accepted if they are backed up by experience, understanding and good judgement.
Probabilities in an investment decision are measured on return and risk metrics.
These measures are:
- expected value and expected net present value (ENPV): these measure return
- standard deviation: this measures risk or volatility
Calculating Expected net present value and methodology?
Expected value
The expected value is the average value of the outcome, calculated on probability estimates. The methodology is as follows:
- The probability of an outcome and value of that outcome is specified.
- The expected value of each outcome is calculated.
- All the expected values are added with each probability to arrive at the expected value.
The formula for calculating expected value is:
Expected value = ∑PX
Where:
∑ = the sum of
P = the probability of outcome
X = the value of the outcome
Expected net present value
Expected net present value
Expected net present value (ENPV) is a capital budgeting and appraisal technique.
It is a simple tool to evaluate the feasibility of a project. It is based on net present value under different scenarios, probability weighted to adjust for uncertainties in each of these scenarios. A project with a positive ENPV will be accepted, taking the much of guesswork out of decision making.
Unlike traditional NPV, ENPV produces a more realistic picture by considering any uncertainties inherent in project scenarios.
Advantages and limitations of Expected net present value
Advantages
- ENPV provides a clear ‘rule’ to aid decision making.
- The expected value and ENPV tools are simple and easy to calculate.
- A positive ENPV increases shareholder wealth if a project proceeds and outcomes follow expectations.
Limitations
- Expected value and ENPV are measures of return. They do not take the volatility or the risk of a project into consideration.
Variability (volatility) or dispersion is measured by standard deviation.
- While ENPV takes probabilities into account, they are subjective and may be difficult to estimate
also see worked examples on page 260 and 261
The role of portfolio management
The role of portfolio management
A portfolio is a mix of investments or projects in a company.
It can refer to external or internal portfolios of investments or projects.
When a company has surplus funds available, it may make external investments in a portfolio of assets such as banknotes, bonds, debentures and stocks.
These external portfolios are also referred to as passive investments as they do not entail active management from the issuing company.
An internal portfolio refers to a group of projects managed together to achieve an organisation’s strategic objectives.
For instance, a company in the energy sector could include a portfolio of projects such as ‘development of solar energy
production’ or ‘improving efficiency by investing in new techniques’.
All of these will help it meet its objective of ‘reducing carbon emissions’