Introduction to Corporate Finance

(avery) #1
Ross et al.: Fundamentals
of Corporate Finance, Sixth
Edition, Alternate Edition

V. Risk and Return 12. Some Lessons from
Capital Market History

© The McGraw−Hill^427
Companies, 2002

4 percent. Finally, in the fourth column, we square the numbers in the third column to
get the squared deviations from the average.
The variance can now be calculated by dividing .0270, the sum of the squared devi-
ations, by the number of returns less 1. Let Var(R), or 2 (read this as “sigma squared”),
stand for the variance of the return:
Va r(R)  ^2 .027/(4 1) .009
The standard deviation is the square root of the variance. So, if SD(R), or , stands
for the standard deviation of return:
SR(R)   .09487
The square root of the variance is used because the variance is measured in “squared”
percentages and thus is hard to interpret. The standard deviation is an ordinary percent-
age, so the answer here could be written as 9.487 percent.
In the preceding table, notice that the sum of the deviations is equal to zero. This will
always be the case, and it provides a good way to check your work. In general, if we
have Thistorical returns, where Tis some number, we can write the historical variance
as:

Va r(R)  [(R 1  )^2    (RT )^2 ] [12.3]

This formula tells us to do just what we did above: take each of the Tindividual returns
(R 1 , R 2 ,... ) and subtract the average return, ; square the results, and add them all up;
and finally, divide this total by the number of returns less 1 (T1). The standard devi-
ation is always the square root of Var(R). Standard deviations are a widely used measure
of volatility. Our nearby Work the Webbox gives a real-world example.

R


R R


1


T 1


.009


398 PART FIVE Risk and Return


Calculating the Variance and Standard Deviation
Suppose the Supertech Company and the Hyperdrive Company have experienced the follow-
ing returns in the last four years:

What are the average returns? The variances? The standard deviations? Which investment
was more volatile?
To calculate the average returns, we add up the returns and divide by 4. The results are:
Supertech average return .70/4 .175
Hyperdrive average return .22/4 .055
To calculate the variance for Supertech, we can summarize the relevant calculations as
follows:

R


R


Year Supertech Return Hyperdrive Return
1999 .20 .05
2000 .50 .09
2001 .30 .12
2002 .10 .20

EXAMPLE 12.2
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