risk and capital budgeting.ppt
TRANSCRIPT
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Capital Budgeting and Risk
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Risk Adjustment
Techniques Two opportunities to adjust the present
value of cash inflows for risk
The cash inflows can be adjusted
The discount rate can be adjusted
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Cash inf low adjus tment process
us ing certainty Equ ivalent
Most direct and theoretically preferred
approach
Represent the percent of estimated cashinflow that investor would be satisfied to
receive for certain
certainty equivalent method adjusts theestimated value of the uncertain cash flows.
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The certainty equivalent method uses the rationale that given a risky
cash flow, the decision maker will evaluate this cash flow according to
an expected utility, the utility estimate being hypothesized to be equal
to utility derived from some certain cash flow amount. The decision
maker performs this process for each cash flow. The valuation model isas follows:
where Ct= certainty equivalent cash flow at period t,
i = riskless interest rate.
1 (1 )
Nt
tt
CV
i
Cash inf low adjustment p rocess us ing
certain ty Equ ivalent
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Ctcan be expressed as a fraction of the expected value of the cashflow as follows:
where some fractional value.
The valuation formula becomes
The certainty equivalent method (CE) adjusts for risk directly through
the expected value of the cash flow in each period and then discounts
these risk adjusted cash flows by the risk free rate of interest, Rf. The
formula for this method is given as follows:
t t tC X
t
1 (1 )
Nt t
tt
XV
i
01(1 )
Nt t
tt
f
XNPV I
R
Cash in f low adjustment process
us ing certainty Equ ivalent
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Risk Adjusted Discoun t Rates
More practical approach for risk adjustment (RADRs)
The risk adjusted discount rate method (RADR) is similar to the
NPV. It is defined as the present value of the expected or mean
value of future cash flow distributions discounted at a discountrate, k, which includes a risk premium for the riskiness of the
cashflows from the project. It is defined by the following
equation:
RADR is the rate of return that must be earned on a given
project to compensate the firms owners adequately, thereby
resulting in maintenance or improvement in share price
Logic underlying the use of RADR is closely linked to CAPM
0
1(1 )
Nt
tt
XNPV I
k
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CE VS. RADR in Practice
CE theoretically preferred approach for risk adjustment.They separately adjust for risk and time; they first eliminaterisk from cash flows and then discount the certain cash
flows as risk free rate The RADR have major theoretical problem; it combine risk
and time adjustment in a single discount rate adjustment.
However due to complexity of developing Ces, RADR aremost often in practice. Two reasons:
Consistent with general disposition of decision makertowards rate of return
Easily estimated and applied
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Annualized NPV Approach
Useful where the projects have unequal lives andare mutually exclusive projects.
This approach converts the NPV of unequal-livedproejcts into equivalent(in NPV terms) annualamount that can be used to select project.
STEPS
Calculate NPV of each project over its life using Cost of Capital Divide the NPV of each project having a positive NPV by the
present value interest factor for an annuity at the given cost of
capital and the projectslife to get annualized NPV of each project
Rank order and select the best project. The project having highest
ANPV would be the best
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Annualized NPV Approach
Example
Step-I
NPV of project X with 3 years life and 10% discount rateis Rs. 11,248
NPV of project Y with 6 years life and 10% discount rateis Rs. 18,985
Step-II
By dividing NPV of each project by present valu interestfactor annuity at K and project life
ANPVx= 11248/PVIFA10%, 3Y = 4523
ANPVy= 18985/PVIFA10%, 6Y = 4359
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What is Mean by Risk iness of
ProjectRiskiness of an investment project
means the variability of its cash
flows from those that are expected.
Greater the variability, The riskier theproject said to be
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Prob lem o f Project Risk
Assumption of single requiredrate of return for selection ofproject
Different Projects have different
RiskRisk Return and Firm Value
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Mean & Standard Dev iat ion
Mean Value
For Frequency dataWeighted mean
For Probability DistributionStandard Deviation
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An Il lus trat ion o f To tal
Risk (Disc rete Dis tr ibu t ion )
ANNUAL CASH FLOWS: YEAR 1PROPOSAL A
State Probability Cash Flow
Deep Recession .05 $ -3,000
Mild Recession .25 1,000
Normal .40 5,000
Minor Boom .25 9,000
Major Boom .05 13,000
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Probab i li ty Distr ibu t ion
o f Year 1 Cash Flows
.40
.05
.25
P
robability
-3,000 1,000 5,000 9,000 13,000
Cash Flow ($)
Proposal A
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An Il lus trat ion o f To tal
Risk (Disc rete Dis tr ibu t ion )
ANNUAL CASH FLOWS: YEAR 1PROPOSAL B
State Probability Cash Flow
Deep Recession .05 $ -1,000
Mild Recession .25 2,000
Normal .40 5,000
Minor Boom .25 8,000
Major Boom .05 11,000
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Probab i li ty Distr ibu t ion
o f Year 1 Cash Flows
.40
.05
.25
P
robabili
ty
-3,000 1,000 5,000 9,000 13,000
Cash Flow ($)
Proposal B
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Expectation and Measurement of
Dispersion - A Cash Flow ExampleExpected Value: The weighted average of
possible outcomes, with the weights being theprobabilities of occurrence
Standard Deviation: A statistical Measureof the variability of a distribution around its mean.It is the square root of the Variance
Coefficient of Variation: The ratio of thestandard deviation of a distribution to the meanof that distribution. It is a measure of relative risk
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CF1 P1 (CF1)(P1)
$ -3,000 .05 $ -1501,000 .25 250
5,000 .40 2,000
9,000 .25 2,25013,000 .05 650
S=1.00 CF1=$5,000
Expec ted Value of Year 1
Cash Flows (Proposal A)
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(CF1)(P1) (CF1- CF1)2(P1)
$ -150 ( -3,000 - 5,000)2
(.05)250 ( 1,000 - 5,000)2(.25)
2,000 ( 5,000 - 5,000)2(.40)
2,250 ( 9,000 - 5,000)2(.25)650 (13,000 - 5,000)2(.05)
$5,000
Variance of Year 1
Cash Flows (Proposal A)
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Variance of Year 1
Cash Flows (Proposal A)
(CF1)(P1) (CF1- CF1)2*(P1)
$ -150 3,200,000250 4,000,000
2,000 0
2,250 4,000,000650 3,200,000
$5,000 14,400,000
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Summary of Proposal A
The standard deviation = SQRT (14,400,000)= $3,795
The expected cash flow= $5,000
Coefficient of Variation (CV)= $3,795 / $5,000
= 0.759
CV is a measure of relativerisk and is the ratio ofstandard deviation to the mean of the distribution.
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An Il lus trat ion o f To tal
Risk (Disc rete Dis tr ibu t ion )
ANNUAL CASH FLOWS: YEAR 1PROPOSAL B
State Probability Cash Flow
Deep Recession .05 $ -1,000
Mild Recession .25 2,000
Normal .40 5,000
Minor Boom .25 8,000
Major Boom .05 11,000
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Probab i li ty Distr ibu t ion
o f Year 1 Cash Flows
.40
.05
.25
P
robabili
ty
-3,000 1,000 5,000 9,000 13,000
Cash Flow ($)
Proposal B
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Expec ted Value of Year 1
Cash Flows (Proposal B)
CF1 P1 (CF1)(P1)
$ -1,000 .05 $ -502,000 .25 500
5,000 .40 2,000
8,000 .25 2,00011,000 .05 550
S=1.00 CF1=$5,000
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(CF1)(P1) (CF1- CF1)2(P1)
$ -50 ( -1,000 - 5,000)2
(.05)500 ( 2,000 - 5,000)2(.25)
2,000 ( 5,000 - 5,000)2(.40)
2,000 ( 8,000 - 5,000)2(.25)550 (11,000- 5,000)2(.05)
$5,000
Variance of Year 1
Cash Flows (Proposal B)
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Variance of Year 1
Cash Flows (Proposal B)
(CF1)(P1) (CF1- CF1)2(P1)
$ -50 1,800,000500 2,250,000
2,000 0
2,000 2,250,000550 1,800,000
$5,000 8,100,000
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Summary of Proposal B
The standard deviation of B < A($2,846< $3,795), so Bis less risky than A.
The coefficient of variation of B < A (0.569
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Total Pro jec t Risk
Projects have riskthat may change
from period toperiod.
Projects are morelikely to have
cont inuous, ratherthan discretedistributions.
CashFlow(
$)
1 2 3
Year
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Assumption of Independence
Cash Flow in Period t does notdepend on what happened in period
t-1
There is no causative relationshipbetween cash flows from period to
period.
Risk Free rate for Discounting
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Steps to Follow When Cash
Flows are IndependentMean Expected Value of Cash Flows
for period t
Standard Deviation of Possible cashFlows for Period t
Calculate NPV for Proposal
Calculate Standard Deviation forProposal
Standardizing the Dispersion
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An Example
EXPECTED CASH FLOWS: YEAR 1
Prob Cash Flow
.10 $ 3,000
.25 4,000
.30 5,000
.25 6,000
.10 7,000
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An Example
EXPECTED CASH FLOWS: YEAR 2
Prob Cash Flow
.10 $ 2,000
.25 3,000
.30 4,000
.25 5,000
.10 6,000
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An Example
EXPECTED CASH FLOWS: YEAR 3
Prob Cash Flow
.10 $ 2,000
.25 3,000
.30 4,000.25 5,000
.10 6,000
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Standardizing the Dispersion
The above information help us to evaluatethe risk of investment
If Prob. Distribution is approx. normal(bellshaped), we are able to calculate the prob.Of proposal providing a NPV of less thanor more than an amount.
For example we want to determine theprob. That NPV will be zero or less thanzero.
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Assumption of dependence
Cash Flow in Period t depend onwhat happened in period t-1
There is causative relationshipbetween cash flows from period toperiod.
Risk Free rate for Discounting
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Steps to Follow When Cash
Flows are dependentAll steps are same as they were
for the independent projects
except the step 4 whichestimates the standard deviationfor the whole proposal. Different
formula is used for this purpose
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Moderate Correlat ion
Where the cash flows of the firm are neitherapproximately independent nor perfectly correlated
over time, the classification of the cash flow streamas one or the other is not appropriate
One method for dealing with the moderate correlationis with a series of conditional probability
distributions.
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Probab i li ty Tree Approach
A graphic or tabular approach fororganizing the possible cash-flow
streams generated by aninvestment. The presentation
resembles the branches of a tree.
Each complete branch representsone possible cash-flow sequence.
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Probab i li ty Tree Approach
Basket Wonders isexamining a project that will
have an initial cost today of$900. Uncertainty
surrounding the first year
cash flows creates threepossible cash-flowscenarios inYear 1.
-$900
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Probab i li ty Tree Approach
Node 1: 20% chance of a$1,200cash-flow.
Node 2: 60% chance of a$450cash-flow.
Node 3: 20% chance of a-$600cash-flow.
-$900
(.20) $1,200
(.20) -$600
(.60) $450
Year 1
1
2
3
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Probab i li ty Tree Approach
Each node inYear 2
represents a
branchof ourprobability
tree.
Theprobabilitiesare said to beconditional
probabilities.
-$900
(.20) $1,200
(.20) -$600
(.60) $450
Year 1
1
2
3
(.60) $1,200
(.30) $ 900
(.10) $2,200
(.35) $ 900
(.40) $ 600
(.25) $ 300
(.10) $ 500
(.50)-$ 100
(.40)-$ 700
Year 2
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Jo in t Probabil i t ies [P(1,2)]
.02 Branch 1
.12 Branch 2
.06 Branch 3
.21 Branch 4
.24 Branch 5
.15 Branch 6
.02 Branch 7
.10 Branch 8
.08 Branch 9
-$900
(.20) $1,200
(.20) -$600
(.60) $450
Year 1
1
2
3
(.60) $1,200
(.30) $ 900
(.10) $2,200
(.35) $ 900
(.40) $ 600
(.25) $ 300
(.10) $ 500
(.50)-$ 100
(.40)-$ 700
Year 2
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Project NPV Based on
Probab i l i ty Tree Usage
The probabilitytree accounts for
the distributionof cash flows.
Therefore,discount all cashflows at onlytherisk-freerate of
return.
The NPV for branch i ofthe probability tree for two
years of cash flows is
NPV =S
(NPVi)(Pi)
NPVi=CF1
(1+ Rf)1 (1 + Rf)
2
CF2
- ICO
+
i = 1
z
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NPV fo r Each Cash -Flow
Stream at 5% Risk -Free Rate
$ 2,238.32
$ 1,331.29
$ 1,059.18
$ 344.90
$ 72.79
-$ 199.32
-$ 1,017.91
-$ 1,562.13
-$ 2,106.35
-$900
(.20) $1,200
(.20) -$600
(.60) $450
Year 1
1
2
3
(.60) $1,200
(.30) $ 900
(.10) $2,200
(.35) $ 900
(.40) $ 600
(.25) $ 300
(.10) $ 500(.50)-$ 100
(.40)-$ 700
Year 2
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Calcu lat ing the Expec ted
Net Presen t Value (NPV)
Branch NPVi
Branch 1 $ 2,238.32Branch 2 $ 1,331.29
Branch 3 $ 1,059.18Branch 4 $ 344.90Branch 5 $ 72.79Branch 6 -$ 199.32
Branch 7 -$ 1,017.91Branch 8 -$ 1,562.13Branch 9 -$ 2,106.35
P(1,2) NPVi * P(1,2)
.02 $ 44.77
.12 $159.75
.06 $ 63.55
.21 $ 72.43
.24 $ 17.47
.15 -$ 29.90
.02 -$ 20.36.10 -$156.21
.08 -$168.51
Expected Net Present Value = -$ 17.01
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Calcu lat ing the Variance
o f the Net Presen t Value
NPVi
$ 2,238.32$ 1,331.29
$ 1,059.18$ 344.90$ 72.79
-$ 199.32
-$ 1,017.91-$ 1,562.13-$ 2,106.35
P(1,2) (NPVi - NPV)2[P(1,2)]
.02 $ 101,730.27
.12 $ 218,149.55
.06 $ 69,491.09
.21 $ 27,505.56
.24 $ 1,935.37
.15 $ 4,985.54
.02 $ 20,036.02.10 $ 238,739.58
.08 $ 349,227.33
Variance = $1,031,800.31
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Summary of the
Decis ion Tree Analys is
The standard deviation =SQRT ($1,031,800) = $1,015.78
The expected NPV = -$ 17.01
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NPVP= S( NPVj)
NPVPis the expected portfolio NPV,
NPVjis the expected NPV of the jthNPV that the firm undertakes,
mis the total number of projects inthe firm portfolio.
Determ ining the Expected
NPV for a Por t fo l io o f Projects
m
j=1
D t i i P t f l i
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sP= S S sjk
s
jkis the covariance between possibleNPVs for projectsjand k
s
jk= sj sk rjk.
sj is the standard deviation of projectj,
skis the standard deviation of project k,
rjkis the correlation coefficient between
projectsjand k.
Determ ining Port fo l io
Standard Dev iat ion
m
j=1
m
k=1
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Managerial (Real) Options
Management flexibility to makefuture decisions that affect a
projects expected cash flows, life,or future acceptance.
Project Worth = NPV +Option(s) Value
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Managerial (Real) Options
Expand (or contract)
Allows the firm to expand (contract) production
if conditions become favorable (unfavorable).Abandon
Allows the project to be terminated early.
Postpone
Allows the firm to delay undertaking a project(reduces uncertainty via new information).