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Copyright anbirts1 The Cost of Equity A journey of discovery Involving Risk.

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Presentation on theme: "Copyright anbirts1 The Cost of Equity A journey of discovery Involving Risk."— Presentation transcript:

1 copyright anbirts1 The Cost of Equity A journey of discovery Involving Risk

2 copyright anbirts2 Definition of Risk The chance that the outcome will not be as expected Question Is risk a bad thing?

3 copyright anbirts3 Measures used Expected Return Cash Flow Probability Expected Return 3, , , ,600 4, , ,000 (Mean)

4 copyright anbirts4 Measures Used Variance The average of the mean squared error terms or in other words The difference between the outcome as expected and the mean, then squared, then times the probability and then added up.

5 copyright anbirts5 Measures Used Example using numbers Prob CF ER CF-ER (CF-ER)2 x Prob.10 3, ,000 1,000, , , ,000 50, ,000 1, , ,000 50, , ,000 1,000, ,000 4, ,000

6 copyright anbirts6 Measures Used Is this a useful number? Not to me but we need it to find the:- Standard Deviation which is the square root of the variance And this is a number that can be used

7 copyright anbirts7 Measures Used Following through the current example, with a Variance of 300,000 then the Standard Deviation (sd) is We may use this to work out the chance of an event happening. Assuming a normal (bell shaped) distribution then we know that 68.46% of outcomes will be within one sd of the mean, 95.44% within two sds and 99.74% within 3 sds

8 copyright anbirts8 Measures used Question. What probability is there that we will make a cash flow of 3,753 or more? 1) 3,753 is 247 away from the mean 2) 247 represents 247/547.7 = 45.0% of one standard deviation 3) Look in the normal probability distribution table 4).45 of an sd =.3264, or area under the curve to the left of this point is 32.64% so area to the right must be ) so there is a 67.36% chance we will make 3,753 or more

9 copyright anbirts9 Portfolio Theory So far we have looked at the risk of one asset on its own But normally assets are held as part of a portfolio - two or more assets What happens to our risk measurements when there is more than one asset? Question? What would you do with £5,000,000 and why?

10 copyright anbirts10 Portfolio Considerations We have two questions about a portfolio 1)In a portfolio, what is the expected return of the portfolio? 2)In a portfolio of two (or more) assets, will the risk of variability be greater or smaller? We had better find out

11 copyright anbirts11 Portfolio Expected Return Luckily it is easy to work out as it is simply the weighted average of the returns of the assets in the portfolio. So, two assets A and B Expected Return on A = 5% Expected Return on B = 14% Portfolio made up of ¾ A and ¼ B Return is.75 (5) +.25 (14) = 7.25%

12 copyright anbirts12 Variance of a Portfolio But is it that simple for the variance? Clearly not Umbrellas Cider ER

13 copyright anbirts13 Variance of a Portfolio The riskiness of an asset held in a portfolio is different from that of an asset held on its own Variance can be found using the following formula Var Rp = w 2 Var(RA) + 2w(1-w)Cov(RARB)+(1-w) 2 VarRB Cov stands for Covariance Covariance is a measure of how random variables, A & B move away from their means at the same time

14 copyright anbirts14 Variance of a Portfolio continued With regard to the formula, we know * The weights (w) and (1-w) of the assets, because we decide what they will be *How to work out the variance of A and B because we have just done it. But We just need the covariance and that is easy to work out

15 copyright anbirts15 Variance of A and B and Covariance Work out variance of each asset A is a Steel company Col: Prob Return Expected col 2- ER (col4) 2 x col 1 on steel Return

16 copyright anbirts16 Variance of A and B and Covariance B is a Building Company Prob Return Expected col 2- ER (col 4) 2 x col 1 on Build Return SD 14.75

17 copyright anbirts17 Variance of A and B and Covariance To find the covariance we simply multiply column 4 from steel by column 4 from building and multiply by the probability and add them all Prob Col 4 Steel Col 4 Build.2 x x 21 = x -4.5 x 9 = x -.5 x 1 = x 4.5 x -9 = x 11.0 x -22 = Covariance

18 copyright anbirts18 Variance of the Portfolio So A. ER = 5% Var = 54.4 SD = 7.37 B. ER = 14% Var = SD = Covar = Create portfolio of 75% A and 25% B ER =.75 x x 14 = 7.25 Now insert the figures into the formula Var Rp = w 2 Var(RA) + 2w(1-w)Cov(RARB)+(1-w) 2 VarRB = (.75) 2 (54.4)+2(.75X.25)( )+(.25) 2 (217.6) = (-40.8) Var = 3.4 SD =

19 copyright anbirts19 Now Try Portfolio ER% SD 100% A % B % A 25% B % A 40% B 50% A 50% B 40% A 60% B

20 copyright anbirts20 Answer Portfolio ER% SD 100% A % B % A / 25% B % A / 40% B % A / 50% B % A / 60% B

21 copyright anbirts21 E Rp Portfolio Opportunity Set sd Rp A C Generalise from 2 Asset Model A C = Efficient Set

22 copyright anbirts22 * Market Portfolio Capital Market Line Rf ERp Sd Rp Portfolio Opportunity Set

23 copyright anbirts23

24 copyright anbirts24 Capital Asset Pricing Model CAPM It was realised that total RISK could be split into two parts Diversifiable or unsystematic risk and Undiversifiable or systematic risk In addition It was recognised that if risk could be diversified away cheaply and easily then there should be no reward for taking it on Now look at Table What do you notice

25 copyright anbirts25 CAPM However even if you had a well diversified portfolio there is a risk, market risk, you could not diversify away because certain risks affect everything e.g. the state of the economy, the price of oil etc However these factors do not affect everything to the same degree Therefore a new measure has to be used which does not measure the total risk of an asset or a portfolio but which measures its risk relative to a well diversified portfolio

26 copyright anbirts26 CAPM This measure is called BETA Beta = Covariance of Asset and Portfolio Variance of the Market Beta enables us to estimate the un- diversifiable risk of an asset and compare it with the un-diversifiable risk of a well diversified portfolio

27 copyright anbirts27 CAPM Example First we need the covariance between the asset and the market We could work it out as we did for the covariance of assets A and B We may also use the Correlation Coefficient, p a,m, and the SDs of the market and asset as follows

28 copyright anbirts28 CAPM Cov asset and market =pa,m sda sdm SD Stock A = 28.1 SD Market = 12 P =.6 Covariance = 202 Variance of the Market = 144 So Beta = 202 =

29 copyright anbirts29 CAPM To work out what the return should be on any asset all we need do is work out what return we should be getting on a well diversified portfolio, work out the extra risk (beta) involved in the asset under consideration and stick the result into an equation

30 copyright anbirts30 CAPM The equation is ER A = R F + (ER M –R F )B Where R F = Risk Free Rate ER M - R F = Premium expected for holding risky assets Historically has been 6 to 7 % now considered closer to 3 or 4 B =Beta

31 copyright anbirts31 Security Market Line Rm Market Portfolio Rf Beta

32 copyright anbirts32 CAPM Example Risk Free Rate = 7% Market Premium = 3% Beta of asset = 1.4 (i.e. riskier than the market) Then expected/required (note it is expected!) return on the asset is ER A = 7 + (10-7)1.4 = 11.2

33 copyright anbirts33 CAPM So, nice and easy But Any Problems? Well, does it work? Yes and No What is the evidence? Is there anything else?

34 copyright anbirts34 CAPM Empirical evidence shows higher risk/higher return BUT not as high as predicted, the slope of the SML is flatter Small company effect Book value effect Assumptions

35 copyright anbirts35 Cost of Equity Alternatives The Arbitrage Pricing Model/Theory ER A = R F + [S 1 – R F ]b j1 + ………[S K – R F ] bjk The Gordon Dividend Growth Model (B&M&A p65) R= D 1 + G P o P O = todays share price (£4.50), D1= the next dividend ( 30 pence) G = estimate of growth in dividend (7%) R = = 14% 450

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