Introduction to Corporate Finance

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6: The Trade-Off Between Risk and Return

6-3b THE VARIABIlITY OF EQUITY RETURNS


Every normal distribution has two key characteristics: its mean and its variance. As you may recall from


your study of statistics, the variance measures the dispersion of observations around the mean of the


distribution. To be more precise, the variance is the expected value (or the average value) of squared


deviations from the mean. In equations, variance is usually noted by the Greek symbol σ 2. Suppose we


are estimating the variance of share returns using n years of historical data. The return in any given year


t is rt, and the average return is r–. We estimate the variance using the equation below:


Eq. 6.3 Variance==
1








σ^2


(rt r)^2
t=1

n

n


Table 6.4 illustrates a variance calculation using stock returns in the US from 1993 to 2010. Over


this period, the average annual return equals 10.3%, about one percentage point less than the 11.4%


historical average from 1900–2010. In the table’s third column, we subtract the average return from


the actual return in each year. The fourth column squares that difference. We square deviations from


the mean so that both positive and negative deviations contribute to the variance calculation. If we


simply added up positive and negative deviations from the mean, then the resulting sum would be zero


by virtue of the definition of a mean. To find the variance, add up the numbers in the fourth column


variance
A measure of dispersion of
observations around the mean
of a distribution; it is equal to
the expected value of the sum
of squared deviations from the
mean divided by one less than
the number of observations in
the sample

FIGURE 6.5 HISTOGRAM OF NOMINAL RETURNS ON US EQUITIES, 1900–2010

The figure illustrates the performance of stocks in the US in every year from 1900−2010. For example, stock returns were between −20% and −30% in
1907, 1930, 1974 and 2002. The figure suggests that the historical distribution of stock returns is at least roughly approximated by a bell curve, also
known as a normal distribution.


Per cent return in a given year

1999


2009


1998


1996


1989


1983


1992


2005


2007


1979


1987 1976


1984 1967


1978 1963


1970 1993


2004


2006


2010


1961


1960 1988 1955


1956 1986 1951 2003


1994 1953 1982 1950 1997


1990 1948 1972 1949 1995


2001 1981 1947 1971 1944 1991


2000 1977 1939 1968 1943 1985


1973 1966 1934 1965 1938 1980


1969 1946 1926 1964 1925 1975


1962 1941 1923 1959 1924 1945


1957 1940 1916 1952 1919 1936


2002 1929 1932 1912 1942 1909 1928


1974 1920 1914 1911 1921 1905 1927 1958


1937 1930 1917 1913 1906 1918 1904 1922 1935 1954


1931


2008


1907 1903 1910 1902 1901 1900 1915 1908 1933


< –30 –30 to –20 –20 to –10 –10 to 0 0 to 10 10 to 20 20 to 30 30 to 40 40 to 50 > 50

Source: Elroy Dimson, Paul Marsh and Mike Staunton, in ‘Triumph of the Optimists,’ Global Investment Returns Yearbook 2010. Published by ABN AMRO, London.
Updates provided by Dimson, et al. to 2009. Reprinted with permission.
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