Because investors are risk averse, they will choose to hold a portfolio of
securities to take advantage of the benefits of Diversification. Therefore,
when they are deciding whether or not to invest in a particular stock, they
want to know how the stock will contribute to the risk and expected return of
their portfolios.
The standard deviation of an individual stock does not indicate how that
stock will contribute to the risk and return of a diversified portfolio. Thus,
another measure of risk is needed; a measure of a security's systematic risk.
This measure is provided by the Capital Asset Pricing Model (CAPM).
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Systematic and Unsystematic Risk
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An asset's total risk consists of both systematic and unsystematic risk.
Systematic risk, which is also called market risk or undiversifiable
risk, is the portion of an asset's risk that cannot be eliminated via
diversification. The systematic risk indicates how including a particular
asset in a diversified portfolio will contribute to the riskiness
of the portfolio
Unsystematic risk, which is also called firm-specific or diversifiable
risk, is the portion of an asset's total risk that can be eliminated by
including the security as part of a diversifiable portfolio.
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The Capital Asset Pricing Model (CAPM) provides an expression which relates
the expected return on an asset to its systematic risk. The relationship is
known as the Security Market Line (SML) equation and the measure of
systematic risk in the CAPM is called Beta.
The SML equation is expressed as follows:

where
- E[Ri]
= the expected return on asset i,
- Rf
= the risk-free rate,
- E[Rm]
= the expected return on the market portfolio,
- bi = the Beta on asset
i, and
- E[Rm]
- Rf = the market risk premium.
The graph below depicts the SML. Note that the slope of the SML is equal to
(E[Rm] - Rf)
which is the market risk premium and that the SML intercepts the y-axis at the
risk-free rate.

In capital market equilibrium, the required return on an asset must equal
its expected return. Thus, the SML equation can also be used to determine an
asset's required return given its Beta.
The beta for a stock is defined as follows:

where
- sim = the Covariance
between the returns on asset i and the market
portfolio and
- s2m = the Variance of the market
portfolio.
Note that, by definition, the beta of the market portfolio equals 1 and the
beta of the risk-free asset equals 0.
An asset's systematic risk, therefore, depends upon its covariance with the
market portfolio. The market portfolio is the most diversified portfolio
possible as it consists of every asset in the economy held according to its
market portfolio weight.
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Example Problems
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1. Find the expected return on a stock given that the risk-free rate is
6%, the expected return on the market portfolio is 12%, and the beta of the
stock is 2.

2. Find the beta on a stock given that its expected return is 16%, the
risk-free rate is 4%, and the expected return on the market portfolio is 12%.

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The CAPM is simple and elegant. Consider the many
assumptions that underlie the model. Are they valid?
- Zero
transaction costs. The CAPM assumes trading is costless so investments
are priced to all fall on the capital market line. If not, some
investments would hover below and above the line -- with transaction costs
discouraging obvious swaps. But we know that many investments (such as
acquiring a small business) involve significant transaction costs. Perhaps
the capital market line is really a band whose width reflects trading
costs.
- Zero
taxes. The CAPM assumes investment trading is tax-free and returns are
unaffected by taxes. Yet we know this to be false: (1) many investment
transactions are subject to capital gains taxes, thus adding transaction
costs; (2) taxes reduce expected returns for many investors, thus
affecting their pricing of investments; (3) different returns (dividends
versus capital gains, taxable versus tax-deferred) are taxed differently,
thus inducing investors to choose portfolios with tax-favored assets; (4)
different investors (individuals versus pension plans) are taxed
differently, thus leading to different pricing of the same assets.
- Homogeneous
investor expectations. The CAPM assumes invests have the same beliefs
about expected returns and risks of available investments. But we know
that there is massive trading of stocks and bonds by investors with
different expectations. We also know that investors have different risk
preferences. Again, it may be that the capital market line is a fuzzy
amalgamation of many different investors' capital market lines.
- Available
risk-free assets. The CAPM assumes the existence of zero-risk
securities, of various maturities and sufficient quantities to allow for
portfolio risk adjustments. But we know even Treasury bills have various
risks: reinvestment risk -- investors may have investment horizons
beyond the T-bill maturity date; inflation risk -- fixed returns
may be devalued by future inflation; currency risk -- the
purchasing power of fixed returns may diminish compared to that of other
currencies. (Even if investors could sell assets short -- by selling an
asset she does not own, and buying it back later, thus profiting from
price declines -- this method of reducing portfolio risk has costs and
assumes unlimited short-selling ability.)
- Borrowing
at risk-free rates. The CAPM assumes investors can borrow money at
risk-free rates to increase the proportion of risky assets in their
portfolio. We know this is not true for smaller, non-institutional
investors. In fact, we would predict that the capital market line should
become kinked downward for riskier portfolios (ß > 1) to reflect the
higher cost of risk-free borrowing compared to risk-free lending.
- Beta
as full measure of risk. The CAPM assumes that risk is measured by the
volatility (standard deviation) of an asset's systematic risk, relative to
the volatility (standard deviation) of the market as a whole. But we know
that investors face other risks: inflation risk -- returns may be
devalued by future inflation; and liquidity risk -- investors in
need of funds or wishing to change their portfolio's risk profile may be
unable to readily sell at current market prices. Moreover, standard
deviation does not measures risk when returns are not evenly distributed
around the mean (non-bell curve). This uneven distribution describes our
stock markets where winning companies, like Dell and Walmart,
have positive returns (35,000% over ten years) that greatly exceed losing
companies' negative returns (which are capped at a 100% loss).