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Capital Budgeting

            Risk and Uncertainty




               Copyright ©2003 Stephen G. Buell




        Risk and Uncertainty
Risk è the possibility that actual returns will
  deviate from expected returns
Risk è situations in which a probability
  distribution of possible outcomes can be
  estimated
Uncertainty è worse, not enough information
  available

               Copyright ©2003 Stephen G. Buell




     Probability distribution of
        expected outcomes




               Copyright ©2003 Stephen G. Buell




                                                  1
Initial measure of risk
             Standard deviation of expected cash flowsσ
                     m
             σ =    ∑ (CF
                     j =1
                                    j   − CF ) 2 Pj

                     m
             CF =   ∑CF P
                     j =1
                                j       j


             m = number of possible outcomes
             CF j = j possibleoutcome
                         th


             Pj = probability ©2003CFj G. Buell
                       Copyright
                                 of Stephen occurring




             Improved measure of risk
Coefficien t of variation (cv) puts dispersionon a relativebasis
         σ
cv =
       CF
Consider σ x = 300 and CF x = 1000 versus σ y = 300 and CF y = 4000
Intuitively x is riskier. Need to show that.
         300                      300
cv x =        = .300 while cv y =      = . 075
         1000                     4000




                              Copyright ©2003 Stephen G. Buell




                Forecasted cash flows
                    State of Economy                       C Fj   Pj

             j = 1 Recession                               100    30%

             j = 2 Normal                                  300    50%

             j = 3 Boom                                    800    20%


                              Copyright ©2003 Stephen G. Buell




                                                                        2
Computing coefficient of variation

  CF = . 30(100) + . 50( 300) + . 20( 800) = 340
  σ = (100 − 340) 2 . 30 + (300 − 340) 2 .50 + (800 − 340 ) 2. 20
  σ = 245 .76
        σ      245 . 76
  CV =       =          = . 72
        CF      340




                               Copyright ©2003 Stephen G. Buell




               Required hurdle rate k'
                        σ
k ' = f ( risk) = f (      )
                        CF

Required rate of return k ' is a function of the forecasted risk of
the project

" Penalize" a riskier project by requiring a higher hurdle rate
for it to be acceptable


                               Copyright ©2003 Stephen G. Buell




    Alternate methods for incorporating
         risk into capital budgeting
   (1) Risk-adjusted discount rate



   (2) Certainty equivalents




                               Copyright ©2003 Stephen G. Buell




                                                                      3
Risk-adjusted discount rate schedule
       k'
       .13


       .10


       .07


       .04


       0                                                     σ
                                                      cv =
                                                             CF
              .5       1.0      1.5
                   Copyright ©2003 Stephen G. Buell




    Risk-adjusted discount rate
4% is the risk-free rate
Curve is a risk-return trade-off function
Curve is an indifference curve
Firm is indifferent to a cv=.5 and k'=7% or a
  cv=1.0 and k'=10%
Select k' based on risk from a predetermined
  schedule and compute NPV
                   Copyright ©2003 Stephen G. Buell




           Certainty Equivalents
Convert the expected cash flows to their
  certainty equivalents
Discount the certainty equivalents at the risk-
  free rate of interest
Risk-free rate is the yield on a US Treasury
  bond of the same maturity as the project


                   Copyright ©2003 Stephen G. Buell




                                                                  4
Certainty equivalents coefficients

   αt is the certainty equivalent coefficient for
     the cash flow at time t
   0 < αt = 1 αt falls as risk increases
   αt is determined subjectively by the firm or
     obtained from a predetermined schedule
   ^                      ^
CF t = α t CF t         CFt is the certaintyequivalent, periodt

                              Copyright ©2003 Stephen G. Buell




       NPV w/ Certainty Equivalents

Let's say α 1 = 1.00, α 2 = . 95, α 3 = .82, ..., α 10 = . 50 and i = 4%
            α 1 (CF 1 ) α 2 (CF 2 ) α 3 (CF 3 )        α (CF 10 )
NPV = −CF0 +            +            +            +L + 10
             (1.04)1       (1.04) 2     (1 .04)3        (1. 04)10
               1.00(5800) .95(5800) .82(5800)                 .50(19800   )
NPV = −26000+                +              +          + L+
                  (1. 04)1      (1. 04) 2      (1.04)3          (1 .04)10




                              Copyright ©2003 Stephen G. Buell




           Risk in a portfolio context
   Consider the potential investment, not in
     isolation (as we have been doing), but in a
     portfolio context
   Look at the relationship between the
     investment and the firm’s existing assets
     and other potential investments


                              Copyright ©2003 Stephen G. Buell




                                                                              5
Two projects and the firm

                                              Firm
                                               A
                                                     Project B
                                                     Firm
                                                     Project A




                                               B

                Copyright ©2003 Stephen G. Buell




Which is the more attractive project?

Project A is cyclical like the overall firm
Project B is counter cyclical
In isolation σA = σB but for this firm, B is the
  more attractive project
Project B is highly negatively correlated with
  the firm’s other assets so addition of Project
  B reduces overall risk

                Copyright ©2003 Stephen G. Buell




  Correlation and diversification
Difficult to find projects with high negative
  correlation
However, if projects whose returns are
  uncorrelated are combined, overall risk can
  be reduced and even eliminated
Firms seek to diversify into other areas
Firms try to build a portfolio of assets

                Copyright ©2003 Stephen G. Buell




                                                                 6
Portfolio definitions
 Portfolio è combination of assets
 Optimal portfolio è maximum return for a given
   degree of risk - or - minimum risk for a given
   rate of return
 Opportunity set è all possible portfolios
 Efficient frontier è locus of all optimal portfolios
 Efficient frontier è dominates all other portfolios of
   the opportunity set

                       Copyright ©2003 Stephen G. Buell




                                                    What's out there?
k port
         4         2                                      500 sh Microsoft
                                                          100 sh XON-Mobil

                                                          8 T bills

                                5                         10 gold ingots

                                                          12 soy bean contracts


         1             .3




                                                                                  σ port
                       Copyright ©2003 Stephen G. Buell




             III   II I
k port
                                            Which portfolio will be selected?




                                                                                  σ port
                       Copyright ©2003 Stephen G. Buell




                                                                                           7
Risk of an individual asset in a portfolio context


                                  capital gain + dividend
     yield on security j =
                                           original price
            (Pj ,t +1 − Pj ,t ) + D j ,t+1
     kj =
                          Pj,t




                            Copyright ©2003 Stephen G. Buell




    Risk of an individual asset in a portfolio context

Excess return (or risk premium) on security j is the difference
between the yieldon the securityand the yieldon risk- free
treasurysecurities (R f )
                                           ( P − Pj ,t ) + D j ,t +1
risk premium on security j = (k j - R f ) = j ,t +1                  − Rf
                                                    Pj ,t
The market' s risk premium can be defined similarly :
                                                          (Pm,t +1 − Pm,t ) + Dm,t +1
risk premium on the market = ( k m - Rf ) =                                           − Rf
                                                                     Pm,t


                            Copyright ©2003 Stephen G. Buell




    Plot the last 60 months of observations
          Month
                     kj           km             Rf      k j − Rf k m − Rf
            1        .05          .06          .03             .02    .03

            2        .00          .02          .04             -.04   -.02

            3        -.04        -.06          .04             -.08   -.10

            4        .09          .08          .04             .05    .04

             M        M             M            M              M       M
            60       -.01        -.02          .05             -.06   -.07


                            Copyright ©2003 Stephen G. Buell




                                                                                             8
Characteristic Line
                              k j − Rf

                                                            β
                                                        1

                                                                km − Rf




                     Copyright ©2003 Stephen G. Buell




 Equation of Characteristic Line
   k j − R f = α + β [k m − R f ]
  if α = 0,
   k j = R f + β [ km − R f ]
  Security j' s expectedreturn is equal to
  the risk - free rateplus a risk premium
  This risk premiumis equal to the
   market' risk premium times j' s beta coefficien
         s                                       t

                     Copyright ©2003 Stephen G. Buell




        Beta and systematic risk
Beta is an indicator of systematic risk or
  market risk: interest rate risk, inflation,
  panics
β>1: stock is aggressive, more volatile than
  the overall market, e.g., airlines, steel, tires
β<1: stock is defensive, less volatile than the
  overall market, e.g., utilities

                     Copyright ©2003 Stephen G. Buell




                                                                          9
Unsystematic risk
Variations in security j’s return not due to
  market forces
Unique to the firm, e.g., financial and
  operating leverage, managed by crooks
Eliminated by diversification
Only systematic risk matters to a firm with a
  diversified portfolio

                     Copyright ©2003 Stephen G. Buell




            What's a firm to do?
  McDonald's and Sears are contemplat ing
  going into the pizza business
  McDonald's is only in fast foods - not diversified;
  ∴ they must be concerned with total risk
                 σ
  k pizza = f (
    '
                   ) use risk - adjusted discount ratemethod
                CF
  or certainty equivalent method to find NPV
                           s
  Sears is diversified into department stores,autoparts,
  insurance, real estate, etc.;
  ∴ they are concerned only withsystematic risk
  k pizza = Rf + β pizza [ km − Rf ] use "Beta Model"
   '

                     Copyright ©2003 Stephen G. Buell




                                                               10

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Capital Budgeting Risk and Uncertainty

  • 1. Capital Budgeting Risk and Uncertainty Copyright ©2003 Stephen G. Buell Risk and Uncertainty Risk è the possibility that actual returns will deviate from expected returns Risk è situations in which a probability distribution of possible outcomes can be estimated Uncertainty è worse, not enough information available Copyright ©2003 Stephen G. Buell Probability distribution of expected outcomes Copyright ©2003 Stephen G. Buell 1
  • 2. Initial measure of risk Standard deviation of expected cash flowsσ m σ = ∑ (CF j =1 j − CF ) 2 Pj m CF = ∑CF P j =1 j j m = number of possible outcomes CF j = j possibleoutcome th Pj = probability ©2003CFj G. Buell Copyright of Stephen occurring Improved measure of risk Coefficien t of variation (cv) puts dispersionon a relativebasis σ cv = CF Consider σ x = 300 and CF x = 1000 versus σ y = 300 and CF y = 4000 Intuitively x is riskier. Need to show that. 300 300 cv x = = .300 while cv y = = . 075 1000 4000 Copyright ©2003 Stephen G. Buell Forecasted cash flows State of Economy C Fj Pj j = 1 Recession 100 30% j = 2 Normal 300 50% j = 3 Boom 800 20% Copyright ©2003 Stephen G. Buell 2
  • 3. Computing coefficient of variation CF = . 30(100) + . 50( 300) + . 20( 800) = 340 σ = (100 − 340) 2 . 30 + (300 − 340) 2 .50 + (800 − 340 ) 2. 20 σ = 245 .76 σ 245 . 76 CV = = = . 72 CF 340 Copyright ©2003 Stephen G. Buell Required hurdle rate k' σ k ' = f ( risk) = f ( ) CF Required rate of return k ' is a function of the forecasted risk of the project " Penalize" a riskier project by requiring a higher hurdle rate for it to be acceptable Copyright ©2003 Stephen G. Buell Alternate methods for incorporating risk into capital budgeting (1) Risk-adjusted discount rate (2) Certainty equivalents Copyright ©2003 Stephen G. Buell 3
  • 4. Risk-adjusted discount rate schedule k' .13 .10 .07 .04 0 σ cv = CF .5 1.0 1.5 Copyright ©2003 Stephen G. Buell Risk-adjusted discount rate 4% is the risk-free rate Curve is a risk-return trade-off function Curve is an indifference curve Firm is indifferent to a cv=.5 and k'=7% or a cv=1.0 and k'=10% Select k' based on risk from a predetermined schedule and compute NPV Copyright ©2003 Stephen G. Buell Certainty Equivalents Convert the expected cash flows to their certainty equivalents Discount the certainty equivalents at the risk- free rate of interest Risk-free rate is the yield on a US Treasury bond of the same maturity as the project Copyright ©2003 Stephen G. Buell 4
  • 5. Certainty equivalents coefficients αt is the certainty equivalent coefficient for the cash flow at time t 0 < αt = 1 αt falls as risk increases αt is determined subjectively by the firm or obtained from a predetermined schedule ^ ^ CF t = α t CF t CFt is the certaintyequivalent, periodt Copyright ©2003 Stephen G. Buell NPV w/ Certainty Equivalents Let's say α 1 = 1.00, α 2 = . 95, α 3 = .82, ..., α 10 = . 50 and i = 4% α 1 (CF 1 ) α 2 (CF 2 ) α 3 (CF 3 ) α (CF 10 ) NPV = −CF0 + + + +L + 10 (1.04)1 (1.04) 2 (1 .04)3 (1. 04)10 1.00(5800) .95(5800) .82(5800) .50(19800 ) NPV = −26000+ + + + L+ (1. 04)1 (1. 04) 2 (1.04)3 (1 .04)10 Copyright ©2003 Stephen G. Buell Risk in a portfolio context Consider the potential investment, not in isolation (as we have been doing), but in a portfolio context Look at the relationship between the investment and the firm’s existing assets and other potential investments Copyright ©2003 Stephen G. Buell 5
  • 6. Two projects and the firm Firm A Project B Firm Project A B Copyright ©2003 Stephen G. Buell Which is the more attractive project? Project A is cyclical like the overall firm Project B is counter cyclical In isolation σA = σB but for this firm, B is the more attractive project Project B is highly negatively correlated with the firm’s other assets so addition of Project B reduces overall risk Copyright ©2003 Stephen G. Buell Correlation and diversification Difficult to find projects with high negative correlation However, if projects whose returns are uncorrelated are combined, overall risk can be reduced and even eliminated Firms seek to diversify into other areas Firms try to build a portfolio of assets Copyright ©2003 Stephen G. Buell 6
  • 7. Portfolio definitions Portfolio è combination of assets Optimal portfolio è maximum return for a given degree of risk - or - minimum risk for a given rate of return Opportunity set è all possible portfolios Efficient frontier è locus of all optimal portfolios Efficient frontier è dominates all other portfolios of the opportunity set Copyright ©2003 Stephen G. Buell What's out there? k port 4 2 500 sh Microsoft 100 sh XON-Mobil 8 T bills 5 10 gold ingots 12 soy bean contracts 1 .3 σ port Copyright ©2003 Stephen G. Buell III II I k port Which portfolio will be selected? σ port Copyright ©2003 Stephen G. Buell 7
  • 8. Risk of an individual asset in a portfolio context capital gain + dividend yield on security j = original price (Pj ,t +1 − Pj ,t ) + D j ,t+1 kj = Pj,t Copyright ©2003 Stephen G. Buell Risk of an individual asset in a portfolio context Excess return (or risk premium) on security j is the difference between the yieldon the securityand the yieldon risk- free treasurysecurities (R f ) ( P − Pj ,t ) + D j ,t +1 risk premium on security j = (k j - R f ) = j ,t +1 − Rf Pj ,t The market' s risk premium can be defined similarly : (Pm,t +1 − Pm,t ) + Dm,t +1 risk premium on the market = ( k m - Rf ) = − Rf Pm,t Copyright ©2003 Stephen G. Buell Plot the last 60 months of observations Month kj km Rf k j − Rf k m − Rf 1 .05 .06 .03 .02 .03 2 .00 .02 .04 -.04 -.02 3 -.04 -.06 .04 -.08 -.10 4 .09 .08 .04 .05 .04 M M M M M M 60 -.01 -.02 .05 -.06 -.07 Copyright ©2003 Stephen G. Buell 8
  • 9. Characteristic Line k j − Rf β 1 km − Rf Copyright ©2003 Stephen G. Buell Equation of Characteristic Line k j − R f = α + β [k m − R f ] if α = 0, k j = R f + β [ km − R f ] Security j' s expectedreturn is equal to the risk - free rateplus a risk premium This risk premiumis equal to the market' risk premium times j' s beta coefficien s t Copyright ©2003 Stephen G. Buell Beta and systematic risk Beta is an indicator of systematic risk or market risk: interest rate risk, inflation, panics β>1: stock is aggressive, more volatile than the overall market, e.g., airlines, steel, tires β<1: stock is defensive, less volatile than the overall market, e.g., utilities Copyright ©2003 Stephen G. Buell 9
  • 10. Unsystematic risk Variations in security j’s return not due to market forces Unique to the firm, e.g., financial and operating leverage, managed by crooks Eliminated by diversification Only systematic risk matters to a firm with a diversified portfolio Copyright ©2003 Stephen G. Buell What's a firm to do? McDonald's and Sears are contemplat ing going into the pizza business McDonald's is only in fast foods - not diversified; ∴ they must be concerned with total risk σ k pizza = f ( ' ) use risk - adjusted discount ratemethod CF or certainty equivalent method to find NPV s Sears is diversified into department stores,autoparts, insurance, real estate, etc.; ∴ they are concerned only withsystematic risk k pizza = Rf + β pizza [ km − Rf ] use "Beta Model" ' Copyright ©2003 Stephen G. Buell 10