The Extremes of Wall Street

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Transcript The Extremes of Wall Street

Portfolio Management

Slide Set 1 PRESENTED BY: LAUREN RUDD [email protected]

Tel: 941-706-3449 office March 12, 2015

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What you will learn

    The difference between expected and unexpected returns.

The difference between systematic risk and unsystematic risk.

The security market line and the capital asset pricing model.

The importance of beta.

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Goal

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 A key goal is to define risk more precisely, and discuss how to measure it.  In addition, we will quantify the relation between risk and return in financial markets.

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Mathematical Concepts

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• Mean • Variance • Standard Deviation • Covariance

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Events that impact the firm

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Firms make periodic announcements about events that may significantly impact the profits of the firm.

 Earnings  Conduct  Product development  Personnel

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Impact of news

The impact of an announcement depends on how much of the announcement represents new information.

 When the situation is not as bad as previously thought, what seems to be bad news is actually good news .

 When the situation is not as good as previously thought, what seems to be good news is actually bad news .

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News about the future

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News about the future is what really matters  Market participants factor predictions about the future into the expected part of the stock return.

 Announcement = Expected News + Surprise News

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Return

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The return on any stock traded in a financial market is composed of two parts.

 The normal, or expected, part of the return is the return that investors predict or expect.

 The uncertain, or risky, part of the return comes from unexpected information revealed during the year.

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Components of return

R – E(R) = U = surprise portion = Systematic portion + Unsystematic portion = m +  Therefore: R – E(R) = m +   = unsystematic portion of total surprise m = systematic part of risk

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Risk

 Systematic risk is risk that influences a large number of assets. Also called

market risk

.

 Unsystematic risk is risk that influences a single company or a small group of companies. Also called

firm-specific risk

.

unique risk

or

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Total risk

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Expected return

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 What determines the size of the risk premium on a risky asset?

 The systematic risk principle states:

The expected return on an asset depends only on its systematic risk.

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Two types of risk

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 Unsystematic risk is essentially eliminated by diversification, so a portfolio with many assets has almost no unsystematic risk.

 Unsystematic risk is also called

diversifiable

risk.

 Systematic risk is also called

non diversifiable

risk.

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Systematic risk

So, no matter how much total risk an asset has: Only the

systematic

portion is relevant in determining the expected return (and the risk premium) on that asset.

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Measuring systematic risk

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 To be compensated for risk, the risk has to be special.

o Unsystematic risk is not special

.

o Systematic risk is special.

 The

Beta coefficient (

)

measures the relative systematic risk of an asset.

o Assets with Betas larger than 1.0 have more systematic risk than average.

o Assets with Betas smaller than 1.0 have less systematic risk than average.

 Because assets with larger betas have greater systematic risks, they have greater expected returns.

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Portfolio betas

The total risk of a portfolio has no simple relation to the total risk of the individual assets in the portfolio.

 For two assets, you need two variances and the covariance.

 For four assets, you need four variances, and six covariances

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Portfolio betas

 In contrast, a portfolio’s Beta can be calculated just like the expected return of a portfolio.

 That is, you can multiply each asset’s Beta by its portfolio weight and then add the results to get the portfolio’s Beta.

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Portfolio beta

Beta for Southwest Airlines (LUV) is 1.05

Beta for General Motors (GM) 1.45

 You put half your money into LUV and half into GM.

 What is your portfolio Beta?

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Portfolio beta

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Beta and risk premium

 Consider a portfolio made up of asset A and a risk-free asset.

o For asset A,

E(R A )

= 16% and 

A

= 1.6

o The risk-free rate

R f

asset,  = 4%. Note that for a risk-free = 0 by definition.

 We can calculate some different possible portfolio expected returns and betas by changing the percentages invested in these two assets.

 Note that if the investor borrows at the risk-free rate and invests the proceeds in asset A, the investment in asset A will exceed 100%.

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Beta and risk premium

% of Portfolio in Asset A

0% 25 50 75 100 125 150 13 16 19 22

Portfolio Expected Return

4 7 10

Portfolio Beta

0.0

0.4

0.8

1.2

1.6

2.0

2.4

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Beta and risk premium

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Beta and risk premium

Notice that all the combinations of portfolio expected returns and betas fall on a straight line.

Slope (Rise over Run):

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Beta and risk premium

What this tells us is that asset A offers a

reward-to-risk

ratio of 7.50%. In other words, asset A has a risk premium of 7.50% per “unit” of systematic risk.

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The basic argument

 Recall that for asset A:

E(R A )

= 16% and 

A

= 1.6  Suppose there is a second asset, asset B.

 For asset B:

E(R B )

= 12% and 

A

= 1.2  Which investment is better, asset A or asset B?

o Asset A has a higher expected return o Asset B has a lower systematic risk measure

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The basic argument

As before with Asset A, we can calculate some different possible portfolio expected returns and betas by changing the percentages invested in asset B and the risk-free rate.

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The basic argument

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% of Portfolio in Asset B 0% 25 50 75 100 125 150 Portfolio Expected Return 4 6 8 10 12 14 16 Portfolio Beta 0.0

0.3

0.6

0.9

1.2

1.5

1.8

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The basic argument

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Portfolio Expected Returns and Betas for both Assets

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Fundamental result

 The situation for assets A and B cannot persist in a well organized, active market o Investors will be attracted to asset A (and buy A shares) o Investors will shy away from asset B (and sell B shares)  This buying and selling will make o The price of A shares increase o The price of B shares decrease  This price adjustment continues until the two assets plot on exactly the same line.

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Fundamental result

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This price adjustment continues until the two assets plot on exactly the same line.

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Fundamental result

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Security market line

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The Security market line (SML) is a graphical representation of the linear relationship between systematic risk and expected return in financial markets.

For a market portfolio:

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Security market line

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The term E(R M ) – R f is often called the market risk premium because it is the risk premium on a market portfolio.

Therefore: For any asset “ i i ” in the market:

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Capital asset pricing model

Setting the reward-to-risk ratio for all assets equal to the market risk premium results in an equation known as: The

capital asset pricing model .

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Capital asset pricing model

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The Capital Asset Pricing Model (CAPM) is a theory of risk and return for securities in a competitive capital market.

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Security market line

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Risk return summary

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Risk return summary

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Risk return summary

Assume the following:  Risk free rate R f is 5%  Expected return E(R m ) of the market is 12%  Security beta is 1.2

 E(R) = R f  + [E(R m ) – R f ] x β = .05 + (.12 - .05) x 1.2

 = .134 or 13.4%

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Decomposition of total returns

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Unexpected returns

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Calculating beta

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Betas vary

Betas are estimated from actual data. Different sources estimate differently, possibly using different data.

 For data, the most common choices are three to five years of monthly data, or a single year of weekly data.

 To measure the overall market, the S&P 500 stock market index is commonly used.

 The calculated betas may be adjusted for various statistical reasons.

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CAPM – hotly debated

 The CAPM has a stunning implication: o What you earn on your portfolio depends only on the level of systematic risk that you bear o As a diversified investor, you do not need to worry about total risk, only systematic risk.

 The above bullet point is a hotly debated question

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Portfolio statistics

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Kellogg and Exxon

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Portfolio returns

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Portfolio returns cont.

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