Chapter 11 Flashcards

1
Q

Methods of improving precision

A

Focus groups

Market research

Mystery shopping

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2
Q

Uncertainty

Definition

A

Weather could be a range of future possible outcomes, but there is no basis on which probabilities can be estimated (e.g. no past experience)

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3
Q

Risk

Definition

A

Where are number of possible outcomes resulting from a decision or event. Past experience allows the estimation of probabilities that can be assigned to the possible outcomes e.g. rolling a dice of flipping a coin.

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4
Q

Stress, testing

Definition

A

Looking at how financial projections will be affected by major developments.

The aim is to see how robust forecasts are.

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5
Q

Simulation techniques

Definition

A

Statistical techniques for stimulating potential outcomes in situations where there are multiple uncertain variables improbabilities can be attached to them.

What if analysis with multiple variables

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6
Q

MaxiMax

A

Maximising the maximum achievable profit.

This is the approach of optimists or risk seekers.

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7
Q

Maximin

A

Maximising the minimum achievable profit.

This is the approaches by pessimists – risk averse.

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8
Q

Minimax regret

A

Minimising the maximum regret of making the wrong decision

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9
Q

Sensitivity analysis

A

Profit level divided by variable (revenue or cost) multiplied by 100

Can we use to calculate the maximum percentage change in a variable before the decision would change

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10
Q

Problems with sensitivity analysis

A

Only one variable at a time can be analysed winner practice a number of arrival is my change

Making a decision based on sensitivity analysis will be difficult. If you do not know the probability of the variables changing 

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11
Q

Expected value

A

A weighted average calculation, using the probabilities of each outcome as the basis of the waiting.

Every school neutral investor will generally make the decision on the basis of maximising the EV.

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12
Q

VOPI

Value of perfect information

A

How much you would pay someone if they’re able to give you perfect information

Expected value (with perfect information) minus expected value (without perfect information)

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13
Q

Decision tree

Definition

A

Victoria method of showing a sequence of interrelated decisions and expected outcomes. Decision trees can incorporate both the probabilities of advise of expected outcomes and I used in decision-making.

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14
Q

Standard deviation

A

I statistical measurement of volatility. Images how widely values range from the average value (expected value).

Since it is a measure of volatility, it gives us a good indication of the overall risk in decision-making.

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15
Q

The coefficient of variation

A

News in order to compare the relative risks of projects by calculating the ratio of the standard deviation to the expected value 

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