
Chapter 11 The required rate of return on investment and Shareholder Value Analysis 277
LEX COLUMN
Counting the cost
FT
There are few more essential
items in the corporate finance
tool-kit than a company’s cost
of capital – the return its
investors expect as compensa-
tion for putting their funds in
one business rather than
another. Estimating this cost
of capital, however, involves as
much art and guesswork as it
does science, and the results
can vary widely.
Three years ago, those com-
panies that publish a figure for
their cost of capital – usually
those which have adopted a
form of economic profit or eco-
nomic value added perform-
ance framework – often came
out with figures 1–2 percent-
age points higher than those
implied by market values, or
estimated by stock market
analysts. Today, the gap has in
many cases reversed. Lloyds
TSB, for example, calculates
its economic profit using a cost
of equity of 9 per cent. Yet its
share price appears to imply,
even if you assume it will
halve its dividend, a cost of
equity in excess of 10 per cent.
Why does this matter? To
create value for shareholders,
companies need to make
returns greater than their cost
of capital. If companies are
underestimating cost of capi-
tal, they will make acquisi-
tions or invest in projects that
destroy value. Conversely, if
the market is setting the hur-
dle too high, investors will
miss out on value-creating
investments.
CAPM
Computing the cost of debt is
fairly straightforward, at least
for companies whose bonds are
traded. The cost of equity is
more complicated. The stan-
dard formula remains the capi-
tal asset pricing model, or
CAPM, devised separately by
William Sharpe, John Lintner
and Jack Treynor. Though many
academic studies have raised
doubts about its empirical valid-
ity, three out of four chief finan-
cial officers use CAPM.
CAPM’s starting point is the
risk-free rate – typically a 10-
year government bond yield.
To this is added a premium,
which equity investors require
to compensate them for the
extra risk they accept. This
equity risk premium is multi-
plied by a factor, known as
beta, to reflect a company’s
volatility and correlation with
the market as a whole. Beta is
designed to capture the risk
that an investor cannot diver-
sify away by holding a portfo-
lio of other shares; a company
whose share price tends to rise
and fall more than the market
will have a high beta. There
are difficulties with all three
of these elements. Govern-
ment bond yields are currently
very low, by historical stan-
dards. A company contemplat-
ing a long-term investment
can lock in these low rates for
its debt, but if interest rates
then rise so will its cost of
equity. It may generate the
cash flows it anticipated from
its investment, but these will
no longer cover its cost of cap-
ital. It may be appropriate to
use a somewhat higher nor-
malised risk-free rate. Yet it
looks as though many equity
analysts have taken insuffi-
cient account of the fall of risk-
free rates in their cost of
capital estimates.
The equity risk premium is
the element that has generated
most controversy. In the early
1990s, most companies used
numbers in excess of 6 per
cent, drawing on data from
lbbotson Associates and oth-
ers. Then market analysts
started to use equity risk pre-
miums of 3–4 per cent and
these numbers began to filter
into corporate use. Historical
performance data compiled by
Elroy Dimson, Paul Marsh and
Mike Staunton give a world
equity premium over bonds of
3.8 per cent over the last 103
years. Marakon Associates, the
strategic consultancy, derives
an equity risk premium of 5.3
per cent, rather higher than
the recent average, from the
implied internal rate of return
of 1,190 stocks, but of 3.6 per
cent on the basis of dividend
yield and growth. Splitting the
difference, that gives an esti-
mate of about 4.5 per cent.
Beta
Beta can be even trickier to
calculate. Ideally, companies
would use a forward looking
beta but estimates depend on
historical trading data. Yet as
McKinsey analysts pointed
out in a recent study, the TMT
bubble of 1998–2001 has dra-
matically lowered the appar-
ent betas of unaffected sectors.
They calculate an improbably
low current beta of 0.02 for the
food, beverage and tobacco
sector, against an average of
0.85 for 1990–97. Individual
company betas can also deliver
counter-intuitive results. An
accident-prone company may
have a very low beta, because
its mishaps mean it shows less
correlation with the overall
market.
Continued
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