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Chapter 3 Micro2 Choice Under Uncertainty

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Chapter 3

CHOICE UNDER UNCERTAINTY

Chapter outline
1.
2.
3.
4.
5.

Describing Risk
Preference toward risk
Reducing Risk
The Demand for Risk Assets
Behavioral Economics

Uncertainty and Consumer behavior


To examine the ways that people can compare and
choose among risky alternatives, we take the following
steps:
1. In order to compare the risk of alternative choices, we
need to quantify risk
2. We will examine peoples preference toward risk
3. We will se how people can sometimes reduce or
eliminate risk.
4. In some situations, people must choose the amount of
risk they wish to bear.
In the final section of this chapter, we offer an overview
of the flouring field of behavioral economics

3.1 DESCRIBING RISK

To measure risk, must know:

Interpreting Probability
1.
2.

All possible outcomes


Probability/likelihood each outcome will occur
Objective interpretation: based on observed
frequency or past events
Subjective interpretation: based on perception
that outcome will occur.

Two measures help describe ans compare


risky choices:
1.
2.

Expected Value
Variability

3.1.1 Expected Value

Expected Value

For n possible outcomes:

Probability- weight average of payoffs or values


resulting from all possible outcomes
V1 , V2 ,..., Vn

Payoffs
P1 , P2 ..., Pn
Probabilities of each outcomes:

Pi 1
i 1

The EV measures the central tendency- the


payoff or value that we would expected on
the average
n

EV

Pi.Vi
i 1

3.1.1 Expected Value


E.g. two outcomes possible:

Success- stock price increase $30 to


$40/share => V1 = $40
Failure- Stock price fall $30 to
$20/share=> V2 = $20
100 trials: 25 successes and 75
failures=> P1 = 0.25 and P2 = 0.75

EV =?

3.1.2 Variability

Extent to which possible outcomes of


an uncertain event may differ
How much variation exists in possible
choice
Table 1

Income from Sales jobs


Outcome 1

Outcome 2

Expected
Income ($)

Proba
bility

Income
($)

Probab
ility

Income
($)

Job1:
Commission

0.5

2000

0.5

1000

1500

Job2: Fixed
Salary

0.99

1510

0.01

510

1500

3.1.2 Variability

Greater variability from expected values


signals greater risk
Variability comes from deviations in
payoffs

Deviation: difference between expected


payoff and actual payoff (V-E(V))

Var ( X ) (Vi EV ) .Pi


2

3.1.2 Variability

Standard Deviation

Squared root of average of squares of


deviations of payoffs associated with
each outcome from expected value

Greater standard deviation signals greater


risk

2
Pi
(
Vi

EV
)

i 1

3.1.2 Variability
Table 2

Deviation from Expected Income ($)


Outcome 1

Deviation

Outcome 2

Deviation

Job 1

2000

500

1000

- 500

Job 2

1510

10

510

- 990

Table 3

Calculating Variance ($) and Standard Deviation


Outcome
1

Deviation
Squared

Probabilit
y

Outcome
2

Deviation
Squared

Probabilit
y

Variance

Standard
Deviation

Job 1

2000

500

0.5

1000

250,000

0.5

250,000

500

Job 2

1510

10

0.99

510

980,100

0.01

9900

99.5

3.1.3 Decision Making

Suppose add $100 to each payoff in job 1


which makes expected income = $1,600

Job 1: EI = $1,600 and standard deviation $500


Job 2: EI = $1,510 and standard deviation $99.5

Which job should be chosen?

Depends on individual

Some willing to take risk with higher expected


income

Some prefer less risk even with lower expected


income

3.2 PREFERENCES TOWARD RISK

Different Preferences

Risk Averse

Condition of preferring a certain income to a


risky income with the same expected value
Risk Neutral

Condition of being indifferent between a certain


income and un uncertain income with the same
expected value
Risk Loving

Condition of preferring a risky income to a


certain income with the same expected value

Expected Utility

EU of risky option is sum of utilities associated


with all possible incomes weighted by probability
of each
n

EU Pri .U i
i 1

E.g. Risky job with 50% chance of $10,000


(utility 10) and 50% chance of $30,000 (utility
18)

EI =?

EU=?

3.2.1 Risk Averse


Utility
18
EU=1
4
10

B
F

10 16 20
I* EI

30

Consumer is risk
averse because he
would prefer certain
income of $20,000 to
uncertain expected
income = $20,000

Income

Risk Premium

Maximum amount that risk-averse


person would pay to avoid risk

3.2.2 Risk Neutral


Utility

18
12
6
10 20

30
Income

3.2.3 Risk Loving


Utility
18

U(EI)=
8
3

A
10

20 25 30
EI I*

Income

3.3 REDUCING RISK

Consumers generally risk averse and


want to reduce risk

3.3.1 Diversification

Practice of reducing risk by allocating


resources to a variety of activities
whose outcomes are not closely
related.
Table 4

Income form Sales of Appliances ($)


Hot weather

Cold weather

Air conditioner
sales

30,000

12,000

Heater Sales

12,000

30,000

3.3.2 Insurance

If cost of insurance equals expected


loss, risk averse people buy enough
insurance to recover fully from
potential loss
If risk averse, guarantee of same
income regardless of outcome has
utility than facing risk
Expected utility with insurance higher
than without

3.3.3 Value of information

Risk often exists because dont know


all information surrounding decision
Information is valuable and peole
willing to pay for it
Value of complete information

Difference between expected value of


choice with complete information and
expected value with incomplete
information.

3.4 DEMAND FOR RISKY ASSETS


3.4.1 Risky and risk less assets
Risky assets

Provides uncertain flow of money or


services to its owner
E.g.:

Risk less assets

Provides flow of money or service that is


known with certainty
E.g.:

3.4.1 Risky and risk less assets

Return on assets

Total money flow of an assets, including capital


gain or losses, as a fraction of its price
Real return: Simple (or nominal) return on an
assets less the rate of inflation

Expected Return

Return that asset should earn on average


Actual return could be higher or lower
Risk averse investor balances risk relative to
return.

3.4.2 The investors choice

Trade-off: Risk and Return

Investor is dividing her funds between


two assets- Treasury bills and stocks. To
receive higher return, she must incur
some risk
Rf: risk-free return on bill
Rm: expected return on stocks
rm: actual return on stocks
Assume Rm>Rf

Trade-off: Risk and Return

How determine allocation of funds?

b: fraction of funds placed in stocls


(1-b): fraction of funds placed in T-bills

Expected Return on the investment


porfolio:

R p bRm (1 b) R f

Trade-off: Risk and Return

How risky is porfolio?

Standard deviation of stocks:


Standard deviation of portfolio:

p m. m

Budget line describing trade-off between


risk and expected return

Rp R f

( Rm R f )

Price of risk: extra risk that an investor must


incur to enjoy a higher expected return Rm R f
m

Choosing between risk and return


R
p

U3

U2

U1
Budget line

R*

3.5 BEHAVIOURAL ECONOMICS

Objectives:

Improving understanding of consumer


choice by incorporating more realistic,
detailed assumptions regarding human
behavior
Developing field to explain situations not
well explained by basic consumer model

Fairness

People often make choices that they


think are fair

Behavioral economics

Reference points

Economists assume consumers place unique


value on goods/services purchased
Psychologists found that perceived value depend
on circumstances

Law of Probability

Individual dont always evaluate uncertain


events according to law of probability
Dont always maximize expected utility
Law of small numbers

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