Chapter 9: Risk and uncertainty Flashcards

1
Q

What is risk?

A

number of outcomes and the probability of each outcome is known

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2
Q

What is uncertainty?

A

number of outcomes but probability is unknown

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3
Q

What is scenario planning?

A

1) Identify high-impact, high uncertainty factors
2) Identify different possible futures
3) Identify consistent future scenarios
4) Write the scenario
5) Each scenario - identify/ assess possible courses of action for firm
6) Monitor reality
7) Revise scenarios & strategic options

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4
Q

How can you assess and reduce uncertainty

A

Market research e.g focus groups, desk research (secondary research), field research (primary research) -(motivational & measurement research)

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5
Q

What are focus groups

A

normally involves 8-10 people from a broader population
Interviewed through a facilitator- led discussion in an informal environment
Gather opinions & reactions to a particular subject

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6
Q

What are the problems with focus groups

A

1) results are qualitative
2) Small sample size- results may not be representative
3) Individuals may feel under pressure to afree with other members or give a right answer
4) cost & logistical complexity - barrier especially for smaller companies - online ones can overcome this issue

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7
Q

What is desk research

A

collected from secondary sources
Obtains existing data by studying published and other available sources of info e.g press articles, published accounts, census info
can eliminate need for extensive field work

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8
Q

What to consider when using desk research

A

data may not be exactly what the research wants/ up to date/ accurate
Quicker/ cheaper than field research

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9
Q

What 3 mains types of info can be collected from desk research

A

1) Economic intelligence
2) Market intelligence
3) Internal company data

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10
Q

What is economic intelligence

A

Info relating to the economic environment which a company operates. Converned with Gross National Product (GNP), investment, expenditure, population, employment, productivity/ trade.
Looks at past/ future trends with an indication of a company’s position in the economy as a whole
Can get info from Gov ministries, nationalised industries, universities etc

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11
Q

What is market intelligence

A

Info about a company’s present/ possible future markets.
Commercial & technical info
e.g levelof sales of competitors products recorded by Busines Monito/ census of production, product range by existing or potential competitors , number of outlets forming the distribution network, structure & size of network, location, relation to end user

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12
Q

What is internal company data

A

Normally record sales for accountancy purposes.
Some blue chips companies and public services can be seen to produce data for no reason
therefore not always used by marketing- potential to be used

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13
Q

What is field research?

A

info from primary sources by direct contact with target group
More expensive & time consuming than desk research
More accurate/ relevant/ timely

Can be motivational or measurement

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14
Q

What is motivational research?

A

understand factor that influence why consumers do/don’t buy certain products

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15
Q

What are some techniques for motivational research?

A

1) Depth interviewing - undertaken by a trained person to appreciate conscious/ unconscious associations, motivations and their significance

2) Group interviewing - 6- 10 people consider the relevant subject (object) under trained supervisions

3) Word association testing- being given a word by the interviewer and the 1st word to come to mind

4) Tried testing - asked for fav out of 3 items - if the chosen ones have similar characteristics it shows what influences consumer behaviour

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16
Q

What is measurement research

A

build on motivation research
Quantify issues involved

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17
Q

Techniques of measurement research

A

sample surveys- how many people buy the product, the quantity bought, where & when
e.g in retail from sales & loyalty cards

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18
Q

What are the types of measurement research

A

Random sampling
Quota sampling
Panelling
Surveying by post
Observation

19
Q

What is random sampling

A

each person in the population has an equal chance of being selected
Representative- make predictions more reliable
Can be unfeasible in practice

20
Q

What is quota sampling

A

samples are designed to be representative to pre-selected criteria
e.g population split into % then take a representative size sample

21
Q

What is a disadvantage of quota sampling?

A

samples can still be biased for non-selected criteria

22
Q

What is panelling

A

sample is kept for subsequent investigations
Trends are easier to spot

23
Q

What is surveying by post

A

Mail shot method
sample’s self selecting- biased

24
Q

What is observation

A

cameras in shops- how long people spend reading nutritional info

25
Q

What is sensitivity analysis

A

takes each uncertain factors, calcs the change needed before the original decision is reversed - what if questions

Can eastablish which estimates are more critical than others in affecting a decision

26
Q

What is the process of sensitivity analysis

A

1) Best estimates for variables made & decision arrived at

2) Each variable is analysed- see how much the original estimate can change before the original decision is reversed

3) Estimates for each variable- reconsidered to assess liklihood of estimate being wrong

4) Maximum possible change (as a %)

27
Q

What are the strengths of sensitivity analysis?

A

1) No complicated theory to understand
2) Info presented to management for subjective judgement and decide likelihood of various outcomes considered
3) Identifies areas crucial to success and these can be monitored

28
Q

What are the weaknesses of sensitivity analysis?

A

1) Assumes changes to variables can be made independently- simulation allows us to change more than 1 at a time

2) Only identifies how far a variable needs to change - not probability of that change

3) provides info on the basis where decisions can be made- doesn’t point in to the correct decision directly

29
Q

What is simulation

A

modelling technique showing the effect of more than 1 variable changing at the same time
Used in capital investment appraisal

30
Q

What is the Monte Carlo simulation

A

uses random numbers & probability statistics
Includes random events that can affect the success/ failure of a proposed project

Identifies key variables in a decision e.g cost/ revenue
Random numbers assigned to each variable in proportion to prob distribution

Computer repeats decision many times - shows likely range & level of outcome depending on risk appetite

Only good if underlying probability distribution can be estimated with some degree of confidence

31
Q

What are the drawbacks of simulation

A

1) Doesn’t necessarily make a decision- gives extra info about possible outcomes

2) complex

3) time & cost to build can be greater than value of improved decision

4) Probability distribution can be difficult to formulate

32
Q

What are expected values (EV)?

A

weighted average of all possible outcomes

Calcs average return if a decision is repeated multiple times

= value of each outcome (x) * probability of outcome (p) and summing results

Good for risk neutral decision makers- happy to accept the average

33
Q

.What is the advantage of EV?

A

1) Takes uncertainty into account by considering the prob of each possible outcome & using it to calc an EV

2) info is reduced to a single number= easier decision

3) calcs are relatively simple

34
Q

What are the disadvantages of EV?

A

1) probs used are usually subjective

2) Just a weighted average - little meaning for a 1 off project

3) No indication of the dispersion of possible outcomes about the EV i.e risk so it’s a neutral decision

4) may not correspond with any actual possible outcomes

35
Q

What are pay-off tables

A

aka profit tables
represent & analyse a range of possible outcomes and responses

Illustrates all possible profits/ losses
columns = decision variable
rows= risk

36
Q

What is the maximax rule?

A

select the alternative that maximises the maximum pay-off achievable

Risk seeking investors

37
Q

What is the maximin rule

A

select the alternative that maximises the minimum pay-off achievable

Look at worst possible outcome at each supply level and select the highest one

Choose outcome guaranteed to minimise losses

Risk averse investors

38
Q

What is the minimax regret rule

A

minimises the maximum regret

Regret= opportunity loss through making the wrong decision

39
Q

What is a decision tree

A

All possible courses of action are represented and each outcome is shown
Considers logical sequence of events
complex problem is broken down into smaller, easier to handle sections

40
Q

What are the 3 steps to a decision tree

A

Step 1: Draw tree with the decisions & events/ outcomes
Square= decision point - between 2 outcomes
Circle= chance point - all probs coming away from this add to 1
Label the tree and cash inflows/ outflows and probs

Step 2: Evaluate the tree right to left
Calc EV at each chance point
Choose best option at each decision point

Step 3: Recommend a course of action to management

41
Q

What is perfect information

A

future forecast = 100% correct
always undertake the most beneficial course of action

42
Q

What is imperfect information

A

forecast usually correct
not as valuable as perfect
rare

43
Q

What is the calculation for the value of information

A

Expected profit (outcome) with the info - expected profit w/o info