1. Chapter 9 CAPITAL ASSET PRICING AND ARBITRAGE PRICING THEORY The Risk Reward Relationship

2. OUTLINE Key Issues Basic Assumptions Capital Market Line Security Market Line Inputs Required for CAPM Calculation of Beta Empirical Evidence on CAPM Arbitrage Pricing Theory

3. KEY ISSUES Essentially, the capital asset pricing model (CAPM) is concerned with two questions: What is the relationship between risk and return for an efficient portfolio? What is the relationship between risk and return for an individual security?

4. BASIC ASSUMPTIONS RISK - AVERSION MAXIMISATION.. EXPECTED UTILITY HOMOGENEOUS EXPECTATION PERFECT MARKETS

5. CAPITAL MARKET LINE EXPECTED RETURN, E(R p ) Z L M K R f STANDARD DEVIATION,  p E(R j ) = R f + λ σ j E(R M ) - R f λ = σ M

6. SECURITY MARKET LINE EXPECTED P RETURN SML 14% 8% 0 ALPHA = EXPECTED - FAIR RETURN RETURN 1.0 β i

7. RELATIONSHIP BETWEEN SML AND CML SML E(R M ) - R f E(R i ) = R f + σ iM σ M 2 SINCE σ iM =  iM σ i σ M E(R M ) - R f E(R i ) = R f +  iM σ i σ M IF i AND M ARE PERFECTLY CORRELATED  iM = 1. SO E(R M ) - R f E(R i ) = R f +σ i σ M THUS CML IS A SPECIAL CASE OF SML

8. INPUTS REQUIRED FOR APPLYING CAPM RISK-FREE RETURN RATE ON A SHORT-TERM GOVT SECURITY RATE ON A LONG TERM GOVT BOND MARKET RISK PREMIUM HISTORICAL DIFFERENCE BETWEEN THE AVERAGE RETURN ON STOCKS AND THE AVERAGE RISK - FREE RETURN PERIOD : AS LONG AS POSSIBLE AVERAGE : A.M VS. G.M.

9. DETERMINANTS OF RISK PREMIUM VARIANCE IN THE UNDERLYING ECONOMY POLITICAL RISK MARKET STRUCTURE * Source : Aswath Damodaran Corporate Finance Theory and Practice, John Wiley.

10. TRIUMPH OF OPTIMISTS ELROY DIMSON, PAUL MARCH, AND MICHAEL STANTON … TRIUMPH OF THE OPTIMISTS, (2001) EQUITY RETURNS … 16 RICH COUNTRIES … DATA … 1900 GLOBAL HISTORICAL RISK PREMIUM … 20TH CENTURY.. 4.6% BEST ESTIMATE OF EQUITY PREMIUM WORLDWIDE IN FUTURE IS 4 TO 5 PERCENT

11. CALCULATION OF BETA R it =  i +  i R Mt + e it  iM  i =  M 2

12. CALCULATION OF BETA

13. ESTIMATION ISSUES ESTIMATION PERIOD A LONGER ESTIMATION PERIOD PROVIDES MORE DATA BUT THE RISK PROFILE.. FIRM MAY CHANGE 5 YEARS RETURN INTERVAL DAILY, WEEKLY, MONTHLY MARKET INDEX STANDARD PRACTICE ADJUSTING HISTORICAL BETA HISTORICAL ALIGNMENT … CHANCE FACTOR A COMPANY’S BETA MAY CHANGE OVER TIME MERILL LYNCH … 0.66 … HISTORICAL BETA O.34 … MARKET BETA

14. BETAS BASED ON FUNDAMENTAL INFORMATION KEY FACTORS EMPLOYED ARE INDUSTRY AFFILIATION CORPORATE GROWTH EARNINGS VARIABILITY FINANCIAL LEVERAGE SIZE

15. BETAS BASED ON ACCOUNTING EARNINGS REGRESS THE CHANGES IN COMPANY EARNINGS (ON A QUARTERLY OR ANNUAL BASIS) AGAINST CHANGES IN THE AGGREGATE EARNINGS OF ALL THE COMPANIES INCLUDED IN A MARKET INDEX. LIMITATIONS ACCOUNTING EARNINGS.. GENERALLY SMOOTHED OUT.. RELATIVE.. VALUE OF THE COMPANY ACCOUNTING EARNINGS … INFLUENCED BY NON - OPERATING FACTORS LESS FREQUENT MEASUREMENT

16. BETAS FROM CROSS SECTIONAL REGRESSIONS 1. ESTIMATE A CROSS - SECTIONAL REGRESSION RELATIONSHIP FOR PUBLICLY TRADED FIRMS: BETA = 0.6507 + 0.27 COEFFICIENT OF VARIATION IN OPERATING INCOME + 0.09 D/E + 0.54 EARNINGS -.00009 TOTAL ASSETS (MILLION $) 2. PLUG THE CHARACTERISTICS OF THE PROJECT, DIVISION, OR UNLISTED COMPANY IN THE REGR’N REL’N TO ARRIVE AT AN ESTIMATE OF BETA BETA = 0.6507 + 0.27 (1.85) + 0.09 (0.90) + 0.54 (0.12) - 0.00009 (150) = 1.2095

17. EMPIRICAL EVIDENCE ON CAPM 1.SET UP THE SAMPLE DATA R it, R Mt, R ft 2. ESTIMATE THE SECURITY CHARACTER- -ISTIC LINES R it - R ft = a i + b i (R Mt - R ft ) + e it 3. ESTIMATE THE SECURITY MARKET LINE R i =  0 +  1 b i + e i, i = 1, … 75

18. EVIDENCE IF CAPM HOLDS THE RELATION … LINEAR.. TERMS LIKE b i 2.. NO EXPLANATORY POWER  0 ≃ R f  1 ≃ R M - R f NO OTHER FACTORS, SUCH AS COMPANY SIZE OR TOTAL VARIANCE, SHOULD AFFECT R i THE MODEL SHOULD EXPLAIN A SIGNIFICANT PORTION OF VARIATION IN RETURNS AMONG SECURITIES

19. GENERAL FINDINGS THE RELATION … APPEARS.. LINEAR  0 > R f  1 < R M - R f IN ADDITION TO BETA, SOME OTHER FACTORS, SUCH AS STANDARD DEVIATION OF RETURNS AND COMPANY SIZE, TOO HAVE A BEARING ON RETURN BETA DOES NOT EXPLAIN A VERY HIGH PERCENTAGE OF THE VARIANCE IN RETURN

20. CONCLUSIONS PROBLEMS STUDIES USE HISTORICAL RETURNS AS PROXIES FOR EXPECTATIONS STUDIES USE A MARKET INDEX AS A PROXY POPULARITY SOME OBJECTIVE ESTIMATE OF RISK PREMIUM.. BETTER THAN A COMPLETELY SUBJECTIVE ESTIMATE BASIC MESSAGE.. ACCEPTED BY ALL NO CONSENSUS ON ALTERNATIVE

21. ARBITRAGE - PRICING THEORY RETURN GENERATING PROCESS R i = a i + b i 1 I 1 + b i2 I 2 …+ b ij I 1 + e i EQUILIBRIUM RISK - RETURN RELATIONSHIP E(R i ) = 0 + b i1 1 + b i2 2 + … b ij j j = RISK PREMIUM FOR THE TYPE OF RISK ASSOCIATED WITH FACTOR j

22. SUMMING UP The relationship between risk and expected return for efficient portfolios, as given by the capital market line, is: E (R i ) = R f +  i The relationship between risk and expected return for an inefficient portfolio or a single security as given by the security market line is : E (R i ) = R f + E (R M ) – R f x The beta of a security is the slope of the following regression relationship: R it =  i +  i R Mt + e it The commonly followed procedure for testing CAPM involves two steps. In the first step, the security betas are estimated. In the second step, the relationship between security beta and return is examined. Empirical evidence is favour of CAPM is mixed. Notwithstanding this, the CAPM is the most widely used risk-return model because it is simple and intuitively appealing and its basic message that diversifiable risk does not matter is generally accepted. The APT is much more general in that asset prices can be influenced by factors beyond means and variances. The APT assumes that the return on any security is linearly related to a set of systematic factors.  iM  M 2