bYTEBoss Chapter_11
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Chapter 11 –
Introduction to Risk Analysis
Why
do individuals, companies, and
stockholders take risks?
Terminology
Risk
- possibility of an undesired outcome
Probability - expected relative frequency of an
event
Terminology
Risk
and uncertainty
Risk
- probabilities of outcomes is known -- casino
Uncertainty - outcomes not known with certainty –
reality
Probability
discrete
distributions -
- number of probability occurrences is finite
continuous - infinite number of occurrence
- range of outcomes
Terminology
Subjective
versus objective probability
- someone’s opinion
Objective - can be measured
Subjective
Terminology
Variation
versus event risk
Event
risk - probability of a certain , such as
bankruptcy
Variation risk- probability of a range of outcomes
around an event
typically measured by standard deviation
Terminology
Diversifiable versus nondiversifiable risk
Diversifiable risk
-- risk that can be reduced or
eliminated by combining one investment with
another
Must have a correlation less than +1
Nondiversifiable
risk -- risk that remains after
combining large numbers of projects
Probability Rules
Mutually
add
exclusive events -
the probabilities of the events
Independent
events
build
a table of possible combinations of events
multiply the probabilities to get table values
Dependent
build
events
a table where the probabilities of outcomes for
the second event are dependent on the first event
Stages of Risk Measurement
Stage
1 -- Descriptive and Subjective
listing
of things that might go wrong
good for identifying the important variables
Stage
2 -- Sensitivity analysis
look
at possible outcomes over a range of values for a
critical variable (such as sales)
do not attempt to assign probabilities
example -- breakeven analysis
Stages of Risk Measurement
Stage
3 -- Event probability
assign
probabilities to the various outcomes
one in ten chance of bankruptcy
Stage
4 -- Summary measures of probability
distributions
Measures
of central tendency
Measures of dispersion
Summary Measures: Central
Tendency
Expected
value: possibilities time probabilities
Median: Center outcome; probability of
outcome above median equals probability of
outcome below median.
Mode: Most common outcome
Geometric mean (Pi = probability of outcome i):
[(1+ return1)^P1][(1+ return2)^P2] . . . .
Summary Measures: Dispersion
Variance
Multiply
squared distances from the expected value
by the probability, then sum
Standard
deviation
Square
root of the variance
Same unit of measure as the original problem
Coefficient
standard
of variation
deviation/ expected value
adjust for the scale of the project
Summary Measures: Dispersion
Semivariance
computed
like variance, but considers only outcomes
below the expected value
used when the distribution is not normal (skewed)
Quartile
There
range
is a 25% probability of a value greater than X
and a 25% probability of a value less than Y
Summary Measures
Normal
using
distributions and standard deviations
a z-table you can find the area under the normal
curve (probability of a range of outcomes)
Utility Theory
Assumptions
Completeness
-- you can judge your preference in all
situations
Rational -- consistent in judgements order of
presentation does not matter
Transitivity -- if A is preferred over B and B is
preferred over C then A is preferred over C
Utility Theory
Types
of utility functions
Increasing
-- risk seeker or lover -- will pay to take
the riskier project -- casinos and lottery tickets
Constant -- risk neutral -- is indifferent to risk -- will
accept the same expected return for risky as well as
safe projects
Decreasing -- risk averse -- prefer safety to risk and
must be compensated for accepting additional risk
Utility Theory
Problems
with utility functions in reality
Hard
to measure
Whose utility should we measure?
Once measured then the decision can be made by the
analyst
Utility
theory is important to arbitrage pricing
theory
equal
expected utilities should have equal prices
Risk Perspectives
Single investment perspective
Proposing manager -- Chapter 12
Company
perspective
Senior management and board -- Chapter 13
Shareholder
Shareholder -- Chapter 14
Contingent
claims
Option writer, debt-holder -- Chapter 15
Overall
perspective
economy
Everybody