Risk and Uncertainty in Decision Making Flashcards

1
Q

RISK

A

Has to do with a situation in which there are several possible outcomes and there is relevant past experience to enable statistical evidence to be produced for predicting the possible outcomes.

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2
Q

UNCERTAINTY

A

Has to do with a situation in which there are possible outcomes, but there is little previous statistical evidence to enable the possible outcomes to be predicted.

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3
Q

STATE OF NATURE

A

In the context of risk and uncertainty, factors that are outside the decision-maker’s control, also known as events.

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4
Q

PROBABILITY

A

In the context of risk and uncertainty, the likelihood that an event (or state of nature) will occur, normally express decimal form with a value between 0 and 1.

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5
Q

OBJECTIVE PROBABILITIES

A

Probabilities that can be established mathematically or complied from historical data.

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6
Q

SUBJECTIVE PROBABILITIES

A

Probabilities based on an individual’s expertise, past experience, and observations of current variables which are likely to affect future events.

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7
Q

PROBABILITY DISTRIBUTION

A

A list of all possible outcomes for an event and the probability that each will occur.

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8
Q

EXPECTED VALUE (PAYOFF)

A

The weighted average of the possible outcomes.
Calculation: multiply each of the possible outcomes by the probability associated to it, then sum up everything.

It represents the long-run average outcome expected if a particular course of action is undertaken many times.

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9
Q

How is risk measured?

A

Measured in terms of spread of possible outcomes.
Decision makers are probably more interested in a downside measure of risk that measures the possibility of risk being less than expected value.

Two measures: Standard deviation (ABSOLUTE MEASURE)
Coefficient of variation (RELATIVE MEASURE)

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10
Q

STANDARD DEVIATION

A

The square root of the mean of the squared deviations from the expected value multiplied by probability of each outcome.

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11
Q

COEFFICIENT OF VARIATION

A

If we are comparing the SD of two probability distributions with different EV, we cannot make a direct comparison.
In this case we can use the coefficient of variation which is SD/EV.

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12
Q

What are the three different attitudes to risk?

A

Risk averse
Risk neutral
Risk seeking

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13
Q

DECISION TREE

A

A diagram showing several possible course of action and possible events and the possible outcomes for each course of action.
Each alternative course of action or event is represented by a branch, which leads to subsidiary branches for further course of action or possible events.
A decision tree illustrates the interaction of different variables and choices leading to a range of possible outcomes.

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14
Q

Stages of making a decision tree.

A
  1. Draw out the decision tree.
  2. Assign probabilities to events.
  3. Determine outcomes.
  4. Determine expected values.
  5. Roll back to decision point(s).
  6. Rank/compare/decide.
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15
Q

PERFECT INFORMATION

A

-Possibility of obtaining additional information to mitigate the uncertainty associated to a decision.
What is the maximum amount it would be worth paying for acquiring some additional information?
We should compared the expected value of a project if the information is acquired against the expected value with the absence of the information.

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16
Q

What are the three criteria for decision making?

A

Maximin
Maximax
Regret

17
Q

MAXIMIN CRITERIA

A
  • Assumes that the worst possible state of nature will occur.
  • The decision maker should maximise his/her payoff given this assumption.
  • Assuming low growth, product A will be chosen.
18
Q

MAXIMAX CRITERIA

A
  • Assumes that the best possible state of nature will occur.
  • The decision maker should maximise his/her payoff given this assumption.
19
Q

REGRET CRITERION

A
  • Assumes that, having selected an alternative that did not result to be the best, the decision maker will regret not having chosen another course of action when s/he had the opportunity to do so.
  • It aims to minimise the maximum possible regret (opportunity cost).
20
Q

DIVERSIFICATION STRATEGY

A

A strategy of investing in a range of different projects in order to minimise risk.
The aim should be to measure incremental, rather than the total, risk of the project.