Risk and Uncertainty in Decision Making Flashcards
RISK
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.
UNCERTAINTY
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.
STATE OF NATURE
In the context of risk and uncertainty, factors that are outside the decision-maker’s control, also known as events.
PROBABILITY
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.
OBJECTIVE PROBABILITIES
Probabilities that can be established mathematically or complied from historical data.
SUBJECTIVE PROBABILITIES
Probabilities based on an individual’s expertise, past experience, and observations of current variables which are likely to affect future events.
PROBABILITY DISTRIBUTION
A list of all possible outcomes for an event and the probability that each will occur.
EXPECTED VALUE (PAYOFF)
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.
How is risk measured?
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)
STANDARD DEVIATION
The square root of the mean of the squared deviations from the expected value multiplied by probability of each outcome.
COEFFICIENT OF VARIATION
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.
What are the three different attitudes to risk?
Risk averse
Risk neutral
Risk seeking
DECISION TREE
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.
Stages of making a decision tree.
- Draw out the decision tree.
- Assign probabilities to events.
- Determine outcomes.
- Determine expected values.
- Roll back to decision point(s).
- Rank/compare/decide.
PERFECT INFORMATION
-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.