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Portfolio Analysis and Theory

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Page 1: Portfolio Analysis and Theory. Portfolio Analysis

Portfolio Analysis and Theory

Page 2: Portfolio Analysis and Theory. Portfolio Analysis

Portfolio Analysis

Page 3: Portfolio Analysis and Theory. Portfolio Analysis

Definitions

• A portfolio is the collection of securities an investor holds

• A portfolio weight is the proportion of total wealth allocated to a given security

Page 4: Portfolio Analysis and Theory. Portfolio Analysis

Risk and Return for a Portfolio

• The expected portfolio return is the weighted average of the expected returns on component securities

• The risk of a portfolio is measured by the standard deviation of return

Page 5: Portfolio Analysis and Theory. Portfolio Analysis

Diversification

• Portfolio standard deviation depends upon the correlation of the returns of component stocks

• If stocks are not perfectly correlated, the portfolio standard deviation is less than the sum of the component standard deviations

• Therefore, diversification reduces risk

Page 6: Portfolio Analysis and Theory. Portfolio Analysis

Systematic and Unsystematic Risk

• The risk of a portfolio can be divided into systematic and unsystematic risk

• Systematic risk can be explained by factors that are common to all securities

• Unsystematic risk can be explained by factors that are unique to a given security

• Systematic means part of the system

Page 7: Portfolio Analysis and Theory. Portfolio Analysis

Diversification and Risk

• Unsystematic risk can be reduced through diversification

• Systematic risk cannot be reduced through diversification

• Systematic risk is measured by Beta

Page 8: Portfolio Analysis and Theory. Portfolio Analysis

Beta and the Market Model

• Beta is the slope of the regression of the historical stock return on the return of a market index, like the S&P 500, containing a large number of stocks

• Unsystematic risk is the variation in the stock’s return that cannot be explained by the variation in the market index

Page 9: Portfolio Analysis and Theory. Portfolio Analysis

Market Model (continued)

• The systematic risk of a portfolio is the weighted sum of the systematic risk of each component

• You cannot reduce systematic risk through diversification

• You can only obtain low systematic risk by choosing securities with low systematic risk for your portfolio

Page 10: Portfolio Analysis and Theory. Portfolio Analysis

Systematic Risk

• For very large portfolios unsystematic risk can be almost eliminated

• In this situation the risk each security contributes to the portfolio is approximately equal to its systematic risk or Beta

• Therefore, the relevant risk for an individual security held within a well-diversified portfolio is its Beta

• Remember, that for a portfolio the relevant risk is the standard deviation

Page 11: Portfolio Analysis and Theory. Portfolio Analysis

Example

• Suppose you put all your wealth in a General Motors stock. Then the relevant risk is the standard deviation because your portfolio consists of a single security

• On the other hand, suppose your holdings of General Motors is a small fraction of a large diversified portfolio. Then the relevant risk is the Beta

Page 12: Portfolio Analysis and Theory. Portfolio Analysis

Portfolio Theory

Page 13: Portfolio Analysis and Theory. Portfolio Analysis

Risk Aversion

• Risk averse investors require compensation, in the form of extra return, for assuming financial risk

• The risk-free asset has zero risk and is usually assumed to be the one-year U. S. treasury bill

• A risk averse investor will hold a risky portfolio only if its expected return is greater than the risk-free rate

Page 14: Portfolio Analysis and Theory. Portfolio Analysis

Risk Aversion (continued)

• Investors are only compensated for bearing systematic risk

• Investors are not compensated for bearing unsystematic risk because it can be eliminated by diversification

Page 15: Portfolio Analysis and Theory. Portfolio Analysis

Example• Suppose investors A and B choose portfolios by

throwing darts at the Wall Street Journal. Assume that the average return and average standard deviation of stock in the paper is 10% and 14%, respectively. If investor A throws one dart, then his expected return and risk will be 10% and 14%. If investor B throws ten darts, her expected return will still be 10% but her portfolio standard deviation will be (probably) less because of the effect of diversification.

• Should A be compensated for assuming more risk?

Page 16: Portfolio Analysis and Theory. Portfolio Analysis

Risk-Return Relationship

• There should be a positive relationship between expected return and the Beta measure of systematic risk.

• There should be no relationship between the expected return and unsystematic risk.

• Formal economic model is the Capital Asset Pricing Model (CAPM)

Page 17: Portfolio Analysis and Theory. Portfolio Analysis

The Capital Asset Pricing Model Assumptions

• risk aversion• rational behavior• investors choose a portfolio on the basis of expected

returns and standard deviation• investors have same expectations about the future

expected returns, standard deviations and correlations among stocks

• existence of risk-free security• perfect markets: no taxes, transaction costs, or

restrictions on short sales

Page 18: Portfolio Analysis and Theory. Portfolio Analysis

The security market line (SML)

• SML is the relationship between the expected return on an asset and its Beta measure of systematic risk

• Under the CAPM, the relationship is linear

Page 19: Portfolio Analysis and Theory. Portfolio Analysis

Beta

• The Beta of the risk-free asset is zero and of course its return is the risk-free rate

• The Beta of the market portfolio is one

• Any stock or portfolio with a Beta = 1 has the same expected return as the market

• Any stock with a Beta = 0 returns the risk-free rate

Page 20: Portfolio Analysis and Theory. Portfolio Analysis

Beta (continued)

• A stock with a Beta > 1 has more systematic risk than the market and has an expected return that is greater than the market

• A stock with a Beta < 1 has less systematic risk than the market and an expected return less than the market.

Page 21: Portfolio Analysis and Theory. Portfolio Analysis

Beta (continued)

• A stock with high systematic risk (Beta > 1) will on average (not always) go up by a greater percentage than the market index when the market goes up.

• And of course will on average go down by greater percentage when the market goes down.

• This is what systematic risk means. • So if you thought the market were going down,

you would buy stocks with low Betas

Page 22: Portfolio Analysis and Theory. Portfolio Analysis

The Price of Risk

• If systematic risk is priced, than high beta stocks should have an average return, over the ups and downs in the market, higher than the market index.

• The high Beta stock has greater systematic risk because when the market goes down the high Beta stock will go down even more.

• However, in theory, when you average over the ups and downs the risk averse investor will earn a higher average return

Page 23: Portfolio Analysis and Theory. Portfolio Analysis

Required Return

• An investor demands a positive expected return for two reasons: time value of money and a risk aversion.

• The return to compensate for the time value of money is the risk-free rate.

• The extra return to compensate a risk averse for bearing risk is called the risk premium.

• The required return equals the risk free rate plus the risk premium.

Page 24: Portfolio Analysis and Theory. Portfolio Analysis

Security Market Line

• The market risk premium (the premium on the market index) by definition equals the expected market return minus the risk-free rate

• Under the CAPM, the risk premium on any security equals the Beta multiplied by market risk premium

Page 25: Portfolio Analysis and Theory. Portfolio Analysis

Security Market Line (continued)

• The security market line relates the required return on a security to its Beta systematic risk. The required return equals the risk-free rate plus the Beta times the market risk premium

Page 26: Portfolio Analysis and Theory. Portfolio Analysis

The benefits of diversification and portfolio analysis are well

established. The conclusions drawn from portfolio theory are

tentative and debatable

Page 27: Portfolio Analysis and Theory. Portfolio Analysis

Alternative Explanation • A relatively small number of stocks have high

performance

• Most of the return on a diverisified portfolio can be explained by a small number of high performing stocks in the portfolio

• If you fail to diversify, then you run the risk of not holding any high performing stocks

• Your portfolio will have below average return

Page 28: Portfolio Analysis and Theory. Portfolio Analysis

Alternative Explanation

• A relatively small number of stocks will perform badly

• Some will go under

• If you fail to diversify, then you might end up with a large fraction of wealth in a failed stock

• Your return distribution will have fat tails