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Every investor has objectives or goals that need to be achieved and this influences his decision making. These objectives could be to obtain the best return that is possible, among others.
However, these investors also have risk thresholds or tolerances which
impacts on their investment objectives. Risk thresholds refer to the
level of risk that investors are willing to bear in order to achieve
their objectives.
This indicates that both risk and return dovetail to influence the investor.
Faced with the choice between two investments, an investor would
ideally like to manager their risk by dividing her outlay between the
two with the aim of maximising her return. However, if forced to
choose between the two, it is believed that other factors, in addition
to expected risk and return will influence their decision making under
uncertainty and these are:
• Utility
• Attitude to risk
This paper will consider each of these influences on decision making
in turn – expected return, risk, utility and attitude to risk to see
what part they play in the decision making process and how effective
they are. It will conclude with criticisms of the utility theory and
how another theory Prospects Theory provides a more realistic theory to
understand how individuals make investment decisions.
Before we start, it would be useful to consider the definitions of uncertainty and risk.
McLaney (2006, 151) defines uncertainty as ‘the position where we
simply are not able to identify all, or perhaps not even any, of the
possible outcomes and we are still less able to assess their likelihood
of occurrence’. The investment returns for both Assets A and B are
uncertain, based on this definition. However, the investor, whom we
shall name Charles, will need to use some sort of management
information to analyse and thus choose. The historic data spanning 24
years showing the distributions of returns for Assets A and B is what
Charles has, by way of management information, to make his decision.
Risk, on the other hand, is a position where it is possible to
identify probable outcomes and their likelihood of occurrence (McLaney,
2006). It is a position where the possibility of an undesired
outcome. For example, if by tossing a coin one expects a head, there’s
equally a 50% chance or risk of obtaining a tail.
The main basis of making the decision between the two investments is
Charles’ assumption that the past 24 years results are an indication of
future results and there are no new developments like product
competition or new technologies that may render the past results
unreliable and therefore, unsafe to use as a basis to make the
investment decision.
2.0 Average/Expected Return
Charles would initially be interested to know over a 24 year
period, which asset has provided the better return on average. The way
he can do this is by multiplying each return by the number of times
each occurred (to obtain the total return over 24 years) and dividing
by the number of years, in which these returns were achieved – this is
illustrated below:
Return (x) £000 Frequency (f) (fx) £000
1 1 1
3 1 3
4 3 12
5 2 10
6 1 6
7 1 7
8 1 8
9 1 9
10 2 20
11 2 22
12 3 36
13 1 13
15 1 15
18 1 18
19 1 19
20 2 40
Total 24 239
Table 1 Asset A Returns over a 24 year period
Table 1 illustrates the distribution of returns for Asset A over a
24 year period. The average or expected return is calculated as:
Σfx/Σf, i.e. £239000/24 which when rounded gives an average/expected
return of £10k.
Similarly, the distribution of returns for Asset B is represented below:
Return (x) £000 Frequency (f) fx £000
-12 1 -12
3 1 3
5 1 5
7 1 7
8 1 8
10 2 20
11 2 22
12 8 96
13 5 65
17 2 34
Total 24 248
Table 2 Asset B Returns over a 24 year period
The average/expected return for Asset B is £248k/24 when rounded is also £10k
The average return or mean as is it also referred to tells Charles
the point about which the values in the distribution cluster – i.e. the
sum of the deviations from each of these equals zero.
Taken in isolation, Charles could select either of the options. It
is worth noting at this point, that the average or mean is highly
sensitive to extreme values. If Asset B had not returned a loss in its
first year, 24 years ago, and even assuming the return in that year was
zero, the average return would have been closer to £11k than £10k, for
example.
Charles could therefore assume that over a 24 year period in the
future both Assets A and B would yield £10k a year. If the probability
of achieving either of these were the same, Charles could choose
either.
However, looking at the historical data and assuming that Charles’
investment objective is to achieve at least a £10k return on investment
every year, with both investments costing the same, he would want to
choose the investment that is more probable to achieve the objective.
Therefore, probability in this case is a measure of risk.
To explain further, let us analyse historical data for both
investments to see which is more likely to achieve Charles’ objective.
The probability of obtaining £10k or greater is approximately 50% for
Asset A (this has happened 13 out of the last 24 years), while the
corresponding probability for Asset B is approximately 80% (£10k or
more returned for 19 out of the last 24 years). Based on this, Charles
would opt for Asset B. We shall look into this bit of analysis when we
come to discuss criticism of Utility theory.
Another measure of risk, the standard deviation, is useful to
understand the risk of both investments and we shall look at this now.
3.0 Standard Deviation
Standard deviation is ‘a statistical measure of the dispersion of
individual outcomes about their mean’ (McLaney, 2006, 503). In other
words, the standard deviation is a measure of risk that, in Charles’
case, indicates the average deviation from the average return of £10k
for each return. The greater the deviation, the greater the risk. Let
us now calculate the standard deviation for each investment.
Return (x) £000 Frequency (f) Fx £000 fx² £000
1 1 1 1
3 1 3 9
4 3 12 48
5 2 10 50
6 1 6 36
7 1 7 49
8 1 8 64
9 1 9 81
10 2 20 200
11 2 22 242
12 3 36 432
13 1 13 169
15 1 15 225
18 1 18 324
19 1 19 361
20 2 40 800
Total ∑f = 24 ∑fx = 239 ∑fx² = 3091
Table 3 Asset A Standard Deviation
Return (x) £000 Frequency (f) fx £000 fx² £000
-12 1 -12 144
3 1 3 9
5 1 5 25
7 1 7 49
8 1 8 64
10 2 20 200
11 2 22 242
12 8 96 1152
13 5 65 845
17 2 34 578
∑f = 24 ∑fx = 248 ∑fx² = 3308
Table 4 Asset B Standard Deviation
Standard deviation is calculated as follows:
√(∑fx²/∑f – (∑fx/∑f)²)
There is a slightly greater deviation from the average/expected
return for Asset B than there is for asset A as rounding reveals that
standard deviation is £6k and £5k respectively.
The average return does not tell the full story – for example, if for
each of the past 24 years, an asset C yielded £10k per annum,
expected/average return will be equal to that of Assets A and B and
basing decision of expected return alone would be impractical. This is
because the average return does not reveal that for Investment B, for
example, there is a possibility (albeit a small one of 4%) of a £12k
loss, while Asset C almost guarantees a £10k return if historical data
is the used as a guide.
It also hides the fact that there is a possibility that Asset A
could yield as much as £20k (an 8% chance) or that there’s a greater
chance of obtaining greater than the expected return for Asset B than
for Asset C. effectively, Charles needs to consider the risks.
Based on the calculations of average returns and standard deviations for both Assets A and B, Charles should choose Asset A.
It is now time to turn our attention to Utility theory and
investors’ attitude to risk. The following section will show that
Charles should choose between Assets A and B based on his preference
and also on his attitude to risk.
4.0 Utility Theory
Utility is a measure of satisfaction gained from, in Charles’ case
increase in wealth as a result of investing in either Asset A or B.
The theory indicates that the investment that Charles chooses, should
be the one with the greater expected utility.
The expected utility model was proposed by Daniel Bernoulli in the
18th century and has been applied by Neumann and Morgenstern in
formulating Game theory, which is based on the premise that different
actions are chosen to maximise returns.
Before deciding which investment Charles should choose based on
Utility theory and attitude to risk, it is worth providing an
understanding of utility theory first.
The theory is concerned with the preferences of individual investors
when it comes to making investment decisions, rather than the expected
returns.
In other words, instead of making decisions based on expected
returns, the theory proposes that the decisions will be influenced by
the increasing or decreasing utility or satisfaction to be gained from
consuming or investing in goods or services.
Utility is normally represented as indifference curves. For each
indifference curve, a consumer is indifferent or has no preference for
one combination of goods/products when compared with another. The
indifference curve effectively shows all consumption combinations which
yield the same utility.
Let us assume that an individual has two preferences – going to the
cinema or going to watch football, with the stronger preference for
watching football.
Cinema
Figure 1 Trade off between cinema and football Football
Let the curve closest to the horizontal and vertical axes be UU,
the middle curve VV and the curve furthest away from both axes WW.
Curve UU shows the least amount of utility - any combination of
cinema and football on UU will give the same level of satisfaction.
Moves from UU to VV or from VV to WW indicate increased utility.
The shape of the curves indicates that the individual is prepared to
sacrifice a lot of going to the cinema in favour of watching little
more football. Towards the top of the curves, the individual is hardly
keen to give up any more football for cinema.
This assumes three things about consumer preferences, i.e. an individual:
• can rank the different combinations of goods/products according to their utility
• prefers more to less when it comes to wealth
• has preferences that satisfy a diminishing marginal rate of substitution (Begg et al, 1997)
The marginal rate of substitution can be defined as the quantity of
one variable that an individual is willing to give up in order to
increase the quantity of another, without changing total utility or
satisfaction.
In the example, above, this implies that the marginal rate of
substitution of football for cinema is the amount of cinema the
individual is willing to give up to increase the amount of times he can
attend football matches, which is his preference.
It is worth noting that utility is individual specific, meaning that
different individuals, depending on their preferences will have
different levels of utility for football or cinema or a combination of
these. The higher curves, VV and WW showing greater utility to UU
could indicate that: both football and cinema are cheaper or that the
individual has more disposable income than the UU proposition.
Let us consider how an individual’s attitude to risk influences his investment decision.
Supposing for example an individual has 3 investment options:
• a 50% chance of making £1k and equally a 50% chance of losing
£1k. This is known as a fair investment. A fair investment is similar
to the fair gamble theme, in that it is one in which on average, there
is an equal chance of a profit or loss
• a 40% chance of making £1k and a 60% chance of losing £1k. This is
an unfair investment, whereby on average the individual will make a loss
• a 60% chance of making £1k and a 40% chance of losing £1k. This is a favourable investment
Let us now compare the fair investment (equal chance of profit or loss)
with another fair investment, which is a 50% chance of either making or
losing £2k. Even though both are fair investments, the latter
investment is the riskier as the range of possible outcomes is more
than the former.
An individual’s attitude to risk or risk preference can be classified as risk averse, risk neutral or risk loving.
McLaney (2006) helps to provide definitions of the risk attitudes or states:
• a risk averse individual is an individual that is only prepared to
take a risk where the expected return is greater than the cost of the
project or investment in question, at entry stage
• a risk neutral individual is an individual who is prepared to take
a risk where the expected return is equal to the cost of the project or
investment
• a risk loving individual is one who is prepared to take a risk
even were the expected return from the investment or project is less
than the cost of the investment or project at entry stage, provided
that at least one possible outcome has a value greater than the cost of
the investment or project at entry stage
An individual’s attitude to risk can be determined by analysing
whether he will be willing to invest in a fair investment, i.e. one
that has an equal chance of making or losing money.
A risk averse individual will not do this and will only invest if
the probability of making a profit outweighs the probability of making
a loss. This type of individual dislikes risk and will need to be
compensated more, in terms of return for the risk he is willing to
take. The more risk averse the individual, the more that individual
requires, by way of return for him to invest.
A risk neutral investor would not make his investment decision based
on the probability of making or losing money. He should focus himself
on how much can be made from the investment. Effectively, the risk
neutral investor is more concerned about achieving his investment
objective in terms of return. When faced with a choice between two
investments, the risk neutral investor will choose the one with the
higher expected return. If expected returns for both investments are
equal, the risk neutral investor could choose either, regardless of the
individual asset’s risk.
A risk loving investor will make a fair investment. In fact, a risk
lover will invest in an asset where the chances of making a profit are
less than the chances of making a loss. Her motivation is based on her
analysis that there is greater potential for increased return, the
higher the risk. The more risk loving the individual, the more
unfavourable must be the chances of the investment yielding a profit
for her not to invest. For example, some people will choose to bet on
a non-league club, e.g. Nuneaton Borough FC defeating Liverpool in the
FA Cup instead of the other way round because the payout returns if
their bet materialises will be considerably more than if they were to
bet on a Liverpool victory – these are risk lovers.
We shall now turn our attention back to Charles who has an
investment decision to make. Remember that Assets A and B both had the
same expected return of £10k while the risk of Asset B was greater than
that of Asset A. Assuming that the costs of both investments were the
same and that utility is based on the satisfaction to be gained from
returns, Charles should make the following decisions based on his
attitude to risk.
4.1 Risk Lover
Charles should opt for Asset B. Demonstrating this attitude means
that Charles’ preference is influenced by the possibility of increased
returns. In other words, increases in returns, in equal increments
will add more and more to utility. For example, the more profits of
£5k that Charles makes, the more he is satisfied or his utility
increases. Charles’ attitude or risk preference means his marginal
utility increases for any additional increments in returns. This is
represented in the diagram below.
Utility
Figure 2 Risk Lover and Utility Returns
The extra utility to be gained from a return of £12k for example, in
Asset B is more than the utility given up if Charles loses £12k. Based
on this, Charles the risk lover will choose Asset B.
4.2 Risk Neutral
Because expected returns are identical, Charles will be indifferent
to investing on either Asset A or B. For Charles, the risk neutral
investor, successive equal increases in returns will yield the same
level of utility. Similarly, the utility to be gained from a £12k
return is the same as the utility sacrificed for a £12k loss, i.e.
equal marginal utility.
Utility
Figure 3 Risk Neutral and Utility Returns
4.3 Risk Averse
Charles, the risk averse investor will opt for Asset A. This is
because for the same expected return as Asset B, the risk of achieving
this is less. In this case, increases in returns, in equal increments
will add less and less to utility. As Charles attains more incremental
returns, his utility decreases – decreasing or diminishing marginal
utility. Additionally, he will not opt for Asset B due to the
possibility of the negative return. The utility that Charles gains
from a £12k return is less than the utility sacrificed for a £12k loss.
In general, most people are risk averse. To prove this, it is
useful to consider human behaviour with regards to insuring their
homes. People would normally insure their property against fire, for
example, in the following scenario:
• Cost of home is £100k
• Probability of home catching fire is
10%, i.e. 90% chance of continuing to have home worth £100k and a 10%
chance of having nothing
• Expected return is therefore 90% of £100000 + 10% of £0 = £90k
• Cost of insurance (insurance premium) = £20k whether house catches fire or not
• Insurance payout in the event of fire = £100k
Should Mr X opt for insurance, he will end up with £80k regardless of whether house catches fire or not.
Even though the insurance company is offering unfavourable odds
regardless of what happens, most people will insure there home because:
• If nothing is done, average/expected outcome £90k, but the actual outcome could be £100k or zero, as there are no guarantees
• Most
people would consider giving up £20k to guarantee £80k for a house
worth £100k to be a much better proposition than to risk having nothing
no matter how small that risk is
According to utility theory and an individual’s attitude to risk, a
risk neutral person should reject the insurer’s offer as they should be
more focused on preserving their £100k; a risk lover should also
decline, as they would be more satisfied with the gains to be achieved
by doing nothing.
5.0 Criticisms of Utility Theory and introduction to Prospects Theory
The utility theory model has been criticised for being prescriptive,
rather than descriptive. The theory concerns itself with how decision
making under uncertainty should be made, instead of how decisions are
actually made^. Hence, the rules on how investors should behave based
on their risk states.
Utility theory is based on the premise that individuals aim to
maximise utility – something that is difficult to measure – by
computing factors that affect that individual’s total wealth and choose
accordingly. The criticism here can be overcome by Prospects Theory.
Prospects Theory states that in assessing between gambles or in this
case risky investments, individuals do not look at the final levels of
wealth that could be achieved (as proposed by utility theory) but at
the profits or losses that can be attained relative to some reference
point, which varies according to the situation. To put another way,
Prospects theory replaces the notion of utility with value – while
utility is defined in terms of net wealth, value is determined in terms
of gains and losses. In Section 2.0 we stated that Charles’ investment
objective was to achieve at least a £10k return on his investment (this
is the reference point from which he will make his decision).
Accordingly, Charles would opt for Asset B rather than Asset A as he
has an 80% chance of obtaining his objective with the former as opposed
to a 50% chance for the latter – this is not linked to utility but some
measurable objective.
Prospects Theory attests to the real world in that individuals are
risk averse and therefore, when faced with two risky investments, they
will display the risk averse attitude. For example, an investor may be
less prone to sell off a loss making investment than he is to cash in
on a profitable one.
Prospects theory is descriptive and reveals how people actually behave
in the real world as opposed to Utility theory which proposes how
people should behave.
It proposes that preferences depend on how problem is presented, for
example, if the expected outcome is a positive return, the value
function will mean that individuals are risk averse. Conversely, if
the expected outcome is a negative return, then the value function will
imply that individuals are risk seeking.
Before concluding, it is worth pointing out that in an ideal world
Charles would be looking for a combination of Asset A and B instead of
just investing all in one or the other. This is in order to maximise
his returns while minimising his risk, because as has been said before
most rational human beings are risk averse.
6.0 Conclusion
This paper has shown how expected/average return, standard deviation
(as a measure of risk), utility theory and the attitude of individual
investors influence their decision making under uncertainty.
It concluded with criticisms of utility theory can be justified by considering Prospects theory.
REFERENCES AND BIBLIOGRAPHY
Books
• Begg, D et al 1997, ‘Economics’ 5th edition, McGraw-Hill, Maidenhead
• Buckle, M & Thompson, J 1999, ‘The UK Financial System’, 2nd edition, Manchester University Press, Manchester
• Howells, P & Bain, K 1998, ‘The Economics of Money, Banking and Finance’ Addison Wesley Longman, Essex
• McLaney, E 2006, ‘Business Finance, Theory and Practice’, 7th edition, Pearson Education Limited, Essex
• Owen, F & Jones, R 1994, ‘Statistics’ 4th edition, Pitman Publishing, London
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