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CAPITAL ASSET PRICING
       MODEL

   AN INTRODUCTION
      by Richard Diamond

       September 2011
PRESENTATION INTRODUCTION

• What     is CAPM? Background to model derivation, purposes
    and issues that CAPM aims to address

•    Statistical workings and pre-requisites of in-depth
    understanding of CAPM (Modern Portfolio Theory)

• CAPM     weaknesses and applications in financial management

• Issues of presentation to the UG cohort. Pedagogic advice
    stemming from the threshold concepts paradigm
CAPM INVENTION


• Capital AssetPricing Model was developed as an attempt to
 predict capital markets’ behaviour under the condition of risk

• CAPM  is based on equilibrium assumption and used to
 estimate a risk-adjusted return on asset (‘cost of equity’)

• Anacademic paper that presented CAPM is Sharpe (1964).
 Capital Asset Prices: A theory of market equilibrium under
 conditions of risk, Journal of Finance, 19 (3), 425-442
Optimization  and  Application  to  Portfolio  Selection”  for  more  details);;
e–Capital Asset Pricing Model (CAPM)predict asset prices;
    Is an equilibrium model: it can be used to
 – Can be factor to any in which portfolio;
 Is a linear appliedmodel,security orthe factor is the market return;
 – Is expressed FORMULATION USING
     CAPM in from the mean-variance  analysis  (see  “Fundam
 Is derived directlyterms of expectations.
 Optimization  and  Application  to  Portfolio  Selection”  for  more  detail
     EXPECTATIONS ALGEBRA
Foran equilibrium model: it can be used to predict asset prices;
 Is an investment I, It takes the form
                                    
 Can be applied to any r  R  portfolio; R
                         E security or I E rM 
                             I                          
 Is • This reads as “expected excess return on Individual asset equals beta
    expressed in terms of expectations.
or, alternatively excess return on Market”
      times expected
                                
 an investment I, ItEtakes R   E r  R               
                            rI return r form M free rate R. Excess
  • Excess return is historical  the minus risk
                                                          
                                          I
                        is r  R   E r  R
       return on market E regarded as ‘the market price of risk’
                               I            I       M

   •   Most of textbooks present a re-arranged expression as follows:
alternatively
                             
                         E rI  R   I E rM  R           
THE STRUCTURE OF CAPM
This kind of explanation is typical for a US classroom. Being
  difficult to comprehend, it shows a complex structure
WHAT IS BETA OF AN ASSET?



• Betais a parameter that gives information about individual
 stock and its specific (idiosyncratic) risk

• Betais calculated as the slope of the simple linear regression
 (You can remember ‘beta’ from regression formulae before!)

• What is an independent variable in the regression? (Excess
 return on the market or market price of risk)
Monthly Stock Prices
Month  S&P 500      MSFT
     1  1,147.39       30.16
                                                                                   Security Characteristic Line            y = 0.9939x - 0.0035
     2  1,076.92       26.13                                                                                                   R² = 0.31031
     3  1,067.14       25.46                   40.00%
     4    989.82       27.35
     5     911.62      23.99
     6    916.07       24.54                   30.00%
     7    815.28       21.87
     8    885.76       26.74
     9    936.31       28.84                   20.00%
    10    879.82       25.85



                               Stock Returns
                                               10.00%


                                                                                                    MSFT
                                                0.00%
         Returns
   S&P 500     MSFT
     -6.14% -13.35%                            -10.00%
     -0.91%      -2.58%
     -7.25%       7.44%
                                               -20.00%
     -7.90% -12.29%
      0.49%       2.29%
    -11.00%    -10.88%                         -30.00%
      8.64%     22.25%                               -30.00%   -20.00%   -10.00%          0.00%         10.00%    20.00%   30.00%          40.00%
                                                                                             S&P 500 Returns
      5.71%       7.87%



                      BETA CALCULATION
Step-by-step Excel demonstration together with re-explanation
of the linear regression model and Q&A. Offer Youtube links
BETA ILLUSTRATIONS
Two examples: beta is similar for a conservative mutual fund and
Internet video streaming service. Betas for different industries
HOW EQUILIBRIUM WORKS


• Sincethe optimal policy is to invest a fraction of wealth into
 the tangency portfolio, ultimately every investor will hold the
 tangency portfolio

• Asa consequence, equilibrium will be achieved and the
 market value of each risky asset will become proportional to
 their weights in the tangency portfolio

• Another
        formulation: expected returns and variances will
 become equal to ones of the tangency portfolio
TANGENCY PORTFOLIO?? TOPIC
REQUIRES SOME MPT KNOWLEDGE
           The tangency portfolio
                                      Line parametrized by wt:
                 Return                  wt t  1  wt R  R  wt t  R 
                                          wt t


                      t                                                            CAPM
                      A                                Tangency portfolio
                      B


                          R




                                 B   A        t                    Risk


                                                                              41

It is a portfolio of risky assets (equity, commodity) allocated in such a way
that it provides ‘the same’ return as a risk free asset (cash, bond) portfolio

Bonds are not strictly risk-free: they have interest rate and credit risks
CAPM IS A MODEL
Love based on outer beauty--of the elegant CAPM formulation,
 of course--can be a good start but only love based on deep
     understanding and acceptance of weakness endures
WHAT CAPM PREDICTS

• CAPM  is an equilibrium model and is based on expectations.
  That means that its use for prediction is theoretically justified

• It follows from the CAPM expectations formulation that the
  risk premium (excess return) of an individual asset in linear
  relationship with the risk premium of the market (times beta).
  The principle is scaleable to a portfolio of assets

• Hence   a conclusion that, on average, the market will only
  compensate for taking on the systematic risk (adjusted by beta
  that reflects non-systematic risk but as a constant parameter)
PRACTICAL FORMULATION OF
CAPM FOR MANAGEMENT
                            This formulation is used when
                            estimating ‘cost of equity’ for the
                            firm’s capital structure

                            Risk free rate can be found
                            using the yield curve of US
Advice: use input from      Treasuries (Bloomberg website)
financial markets for corporate
budgeting and investment       Market rate of return is
planning but trading requires averaged return on a market
more sophisticated tools       index (e.g., Dow Jones or DAX)
PEDAGOGIC ISSUES

• An  introduction to undergraduate students warrants step-by-
  step explanation and guidance through mathematics

• Itis important make students accustomed to ‘the tools of the
  trade’ and generate linkages to the underlining knowledge
  while avoiding the fitting of CAPM to too many theories

  • Important     opportunity to do an application of the simple
       regression model and give understanding of ‘mechanics’

  • Justification   with equilibrium and MPT rather than utility
THRESHOLD CONCEPT ISSUES
 APPLIED TO CAPM PRESENTATION

• “Thethreshold concept approach is concerned with how
 students can be helped to acquire integrating ideas.” (Davies &
 Mangan 2007b)

• Flashingthe CAPM formula on a slide and then doing some
 cost of capital examples would be the exactly wrong approach

  • Itis better of focus on intricacies of WACC and exercise
    practice closer to the time of examination, as a revision.
    However, past exam papers are to be released at the start
THRESHOLD CONCEPT ISSUES
APPLIED TO CAPM PRESENTATION
To stimulate open mindset and memory retention:

• Demonstrate
            the workings of the model (statistics).
 Opaqueness will lead to rote learning of symbols’ definitions

• Show where the inputs can practically come from--the short-
 term part of US Treasury yield curve--stimulate informed
 guess and recognition based on prior knowledge

• Behonest about the model’s weaknesses and application of
 the outputs. Provide the idea of where the model was coming
 from and for what purposes it was derived and is used

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CAPM: Introduction & Teaching Issues - Richard Diamond

  • 1. CAPITAL ASSET PRICING MODEL AN INTRODUCTION by Richard Diamond September 2011
  • 2. PRESENTATION INTRODUCTION • What is CAPM? Background to model derivation, purposes and issues that CAPM aims to address • Statistical workings and pre-requisites of in-depth understanding of CAPM (Modern Portfolio Theory) • CAPM weaknesses and applications in financial management • Issues of presentation to the UG cohort. Pedagogic advice stemming from the threshold concepts paradigm
  • 3. CAPM INVENTION • Capital AssetPricing Model was developed as an attempt to predict capital markets’ behaviour under the condition of risk • CAPM is based on equilibrium assumption and used to estimate a risk-adjusted return on asset (‘cost of equity’) • Anacademic paper that presented CAPM is Sharpe (1964). Capital Asset Prices: A theory of market equilibrium under conditions of risk, Journal of Finance, 19 (3), 425-442
  • 4. Optimization  and  Application  to  Portfolio  Selection”  for  more  details);; e–Capital Asset Pricing Model (CAPM)predict asset prices; Is an equilibrium model: it can be used to – Can be factor to any in which portfolio; Is a linear appliedmodel,security orthe factor is the market return; – Is expressed FORMULATION USING CAPM in from the mean-variance  analysis  (see  “Fundam Is derived directlyterms of expectations. Optimization  and  Application  to  Portfolio  Selection”  for  more  detail EXPECTATIONS ALGEBRA Foran equilibrium model: it can be used to predict asset prices; Is an investment I, It takes the form   Can be applied to any r  R  portfolio; R E security or I E rM  I   Is • This reads as “expected excess return on Individual asset equals beta expressed in terms of expectations. or, alternatively excess return on Market” times expected   an investment I, ItEtakes R   E r  R   rI return r form M free rate R. Excess • Excess return is historical  the minus risk     I is r  R   E r  R return on market E regarded as ‘the market price of risk’ I I M • Most of textbooks present a re-arranged expression as follows: alternatively   E rI  R   I E rM  R 
  • 5. THE STRUCTURE OF CAPM This kind of explanation is typical for a US classroom. Being difficult to comprehend, it shows a complex structure
  • 6. WHAT IS BETA OF AN ASSET? • Betais a parameter that gives information about individual stock and its specific (idiosyncratic) risk • Betais calculated as the slope of the simple linear regression (You can remember ‘beta’ from regression formulae before!) • What is an independent variable in the regression? (Excess return on the market or market price of risk)
  • 7. Monthly Stock Prices Month S&P 500 MSFT 1 1,147.39 30.16 Security Characteristic Line y = 0.9939x - 0.0035 2 1,076.92 26.13 R² = 0.31031 3 1,067.14 25.46 40.00% 4 989.82 27.35 5 911.62 23.99 6 916.07 24.54 30.00% 7 815.28 21.87 8 885.76 26.74 9 936.31 28.84 20.00% 10 879.82 25.85 Stock Returns 10.00% MSFT 0.00% Returns S&P 500 MSFT -6.14% -13.35% -10.00% -0.91% -2.58% -7.25% 7.44% -20.00% -7.90% -12.29% 0.49% 2.29% -11.00% -10.88% -30.00% 8.64% 22.25% -30.00% -20.00% -10.00% 0.00% 10.00% 20.00% 30.00% 40.00% S&P 500 Returns 5.71% 7.87% BETA CALCULATION Step-by-step Excel demonstration together with re-explanation of the linear regression model and Q&A. Offer Youtube links
  • 8. BETA ILLUSTRATIONS Two examples: beta is similar for a conservative mutual fund and Internet video streaming service. Betas for different industries
  • 9. HOW EQUILIBRIUM WORKS • Sincethe optimal policy is to invest a fraction of wealth into the tangency portfolio, ultimately every investor will hold the tangency portfolio • Asa consequence, equilibrium will be achieved and the market value of each risky asset will become proportional to their weights in the tangency portfolio • Another formulation: expected returns and variances will become equal to ones of the tangency portfolio
  • 10. TANGENCY PORTFOLIO?? TOPIC REQUIRES SOME MPT KNOWLEDGE The tangency portfolio Line parametrized by wt: Return   wt t  1  wt R  R  wt t  R     wt t t CAPM A Tangency portfolio B R B A t Risk 41 It is a portfolio of risky assets (equity, commodity) allocated in such a way that it provides ‘the same’ return as a risk free asset (cash, bond) portfolio Bonds are not strictly risk-free: they have interest rate and credit risks
  • 11. CAPM IS A MODEL Love based on outer beauty--of the elegant CAPM formulation, of course--can be a good start but only love based on deep understanding and acceptance of weakness endures
  • 12. WHAT CAPM PREDICTS • CAPM is an equilibrium model and is based on expectations. That means that its use for prediction is theoretically justified • It follows from the CAPM expectations formulation that the risk premium (excess return) of an individual asset in linear relationship with the risk premium of the market (times beta). The principle is scaleable to a portfolio of assets • Hence a conclusion that, on average, the market will only compensate for taking on the systematic risk (adjusted by beta that reflects non-systematic risk but as a constant parameter)
  • 13. PRACTICAL FORMULATION OF CAPM FOR MANAGEMENT This formulation is used when estimating ‘cost of equity’ for the firm’s capital structure Risk free rate can be found using the yield curve of US Advice: use input from Treasuries (Bloomberg website) financial markets for corporate budgeting and investment Market rate of return is planning but trading requires averaged return on a market more sophisticated tools index (e.g., Dow Jones or DAX)
  • 14. PEDAGOGIC ISSUES • An introduction to undergraduate students warrants step-by- step explanation and guidance through mathematics • Itis important make students accustomed to ‘the tools of the trade’ and generate linkages to the underlining knowledge while avoiding the fitting of CAPM to too many theories • Important opportunity to do an application of the simple regression model and give understanding of ‘mechanics’ • Justification with equilibrium and MPT rather than utility
  • 15. THRESHOLD CONCEPT ISSUES APPLIED TO CAPM PRESENTATION • “Thethreshold concept approach is concerned with how students can be helped to acquire integrating ideas.” (Davies & Mangan 2007b) • Flashingthe CAPM formula on a slide and then doing some cost of capital examples would be the exactly wrong approach • Itis better of focus on intricacies of WACC and exercise practice closer to the time of examination, as a revision. However, past exam papers are to be released at the start
  • 16. THRESHOLD CONCEPT ISSUES APPLIED TO CAPM PRESENTATION To stimulate open mindset and memory retention: • Demonstrate the workings of the model (statistics). Opaqueness will lead to rote learning of symbols’ definitions • Show where the inputs can practically come from--the short- term part of US Treasury yield curve--stimulate informed guess and recognition based on prior knowledge • Behonest about the model’s weaknesses and application of the outputs. Provide the idea of where the model was coming from and for what purposes it was derived and is used