Chapter 13 - Short-term risk and uncertainty Flashcards

1
Q

What is the difference between risk and uncertainty?

A
  • Risk is quantifiable
  • Uncertainty is unquantifiable
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2
Q

What do risk neutral decision makers focus on?

A

Expected value

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2
Q

What are the advantages of expected value?

A
  • Takes account of risk
  • Easy decision rule
  • Simple
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3
Q

What are the disadvantages of expected value?

A
  • Subjective
  • Not useful for one-offs
  • Ignores risk attitude
  • Answers may not be possible
  • Ignores spread of outcomes
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4
Q

What does a payoff table show?

A

All possible profits/losses

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5
Q

What does the standard deviation measure?

A

Compares all actual outcomes with expected value, then how far these deviate from mean

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6
Q

What is the standard deviation formula?

A

Say it!

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7
Q

When should decisions trees be used?

A

Where a problem involves a series of decisions being made and several outcomes arise during the decision making process

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8
Q

What is the formula for the expected value?

A

sum of (P x X)

X = future outcome
P = probability

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9
Q

What is standard deviation a measure of?

A

Volatility

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10
Q

What is the formula for the coefficient of variation?

A

Standard deviation/mean

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11
Q

What is the formula for special distribution (z)?

A

z = (x - mean)/standard deviation

x = variable

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12
Q

What is the maximax rule?

A
  • Max payoff selected for each option
  • Max of those chosen
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13
Q

Who does the maximax rule suit?

A

Optimists

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14
Q

What is the maximin rule?

A
  • Min payoff chosen for each option
  • Max of those chosen
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15
Q

Who does the maximin rule suit?

A

Pessimists

16
Q

What is the minimax regret strategy?

A

Minimises max regret, useful when probabilities for outcomes aren’t available

17
Q

How is the mimimax regret found?

A
  • Find maxpayoff in each demand row
  • For each supply level, compare actual payoff with what could’ve been earned, difference is regret
  • Create regret table
  • Determine max regret for each supply level
  • Supply which produces min of those values is minimax regret
18
Q

How is the value of perfect info calculated?

A

Expected profit with info - expected profit without info

19
Q

How is a decision tree drawn?

A
  1. Draw tree from L to R using symbols for decisions/events
  2. Evaluate tree from L to R, calc EV and choose best option along way
  3. Recommend course of action
20
Q

What symbols are used on a decision tree?

A
  • Squares - represent decision point
  • Circles - chance outcome point, branches always subject to probability
21
Q

What factors cause issues with decision trees?

A
  • Assumes risk neutrality
  • Sensitivity analysis
  • Oversimplification
22
Q

What does sensitivity analysis do?

A

takes each uncertain factor in turn and calcs change necessary before original decision is reversed

23
Q

What are the advantages of sensitivity analysis?

A
  • Info presented to management in subjective manner
  • Identifies crucial areas of success
24
Q

What are the disadvantages of sensitivity analysis?

A
  • Assumes variables can be changed individually
  • Only identifies how far a variable needs to change, not probability
  • Doesn’t suggest a correct decision