On the Difference Between Actual Earnings and Normalized Earnings

Photo of Douglas A. McIntyre
By Douglas A. McIntyre Published
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From Gannon On Investing

Yesterday, I concluded my post "On Calculating Normalized P/E Ratios" with this graph of the percentage difference between the Dow’s actual earnings and its 15-year normalized earnings for each year from 1935-2005:

Normalized earnings difference.jpg

I also wrote:

The difference between actual earnings and normalized (or "expected") earnings is one of the most fascinating statistics in this little study.

To better understand this statistic we need to look at its distribution over the 71 years in this study.

First, let’s look at a graph of the difference between the Dow’s actual earnings and its 15-year normalized earnings for each of the last seventy-one years. But, this time, instead of presenting the data in chronological order, I will simply plot the data in ascending order by difference between actual and normalized earnings:

Purple Chart.jpg

Based on this graph, you would probably guess that the Dow’s actual earnings have been higher than its normalized earnings about half the time and lower than its normalized earnings about half the time.

That’s quite right. From 1935-2005, the difference between the Dow’s actual earnings and its normalized earnings was positive in 36 years and negative in 35 years.

Distribution of the Data

From 1935-2005, the percentage difference between the Dow’s actual earnings and its 15-year normalized earnings ranged from (62.12%) to 65.14%. The average (mean) difference between actual and normalized earnings was 0.44%. The median difference was 0.09%.

According to the "empirical rule", in a normal (bell-shaped) distribution, about 68% of the values will be within one standard deviation of the mean, about 95% of the values will be within two standard deviations of the mean, and about 99.7% of the values will be within 3 standard deviations of the mean.

In our little study, 49 of 71 values (69.01%) are within one standard deviation of the mean, 67 of 71 values (94.37%) are within two standard deviations of the mean, and 71 of 71 values (100%) are within three standard deviations of the mean. No value is more than 2.5 standard deviations from the mean. In fact, the greatest distance between a value and the mean is 2.26 standard deviations.

Of the 49 values within one standard deviation, 24 are positive and 25 are negative. Of the 67 values within two standard deviations, 34 are positive and 33 are negative.

Frequency of Various Differences

I can quickly give you some sense of how common large and small differences between the Dow’s actual earnings and its 15-year normalized earnings were from 1935-2005.

Remember, negative numbers mean actual earnings fell below normalized earnings; positive numbers mean actual earnings exceeded normalized earnings.

(71.24%) – (56.90%): 2 of 71 years or 2.82% of the time

(56.90%) – (42.57%): 2 of 71 years or 2.82% of the time

(42.57%) – (28.23%): 6 of 71 years or 8.45% of the time

(28.23%) – (13.90%): 13 of 71 years or 18.31% of the time

(13.90%) – 0.44%: 13 of 71 years or 18.31% of the time

0.44% – 14.78%: 15 of 71 years or 21.13% of the time

14.78% – 29.11%: 8 of 71 years or 11.27% of the time

29.11% – 43.45%: 6 of 71 years or 8.45% of the time

43.45% – 57.78%: 4 of 71 years or 5.63% of the time

57.78% – 71.68%: 2 of 71 years or 2.82% of the time

I’ll be discussing the difference between the Dow’s actual earnings and its normalized earnings quite a bit in the weeks ahead. Today, I just wanted to provide a general overview of this statistic and what it has looked like in the past, before we discuss it in detail. In future posts, I’ll explore its importance for investors.

Related Reading

On 15-Year Normalized P/E Ratios for the Dow

On Normalized P/E Ratios and the Election Cycle

On Normalized P/E Ratios and the Election Cycle (Again)

On Normalized P/E Effects Over Time

On Calculating Normalized P/E Ratios

http://www.gannononinvesting.com/

Photo of Douglas A. McIntyre
About the Author Douglas A. McIntyre →

Douglas A. McIntyre is the co-founder, chief executive officer and editor in chief of 24/7 Wall St. and 24/7 Tempo. He has held these jobs since 2006.

McIntyre has written thousands of articles for 24/7 Wall St. He is an expert on corporate finance, the automotive industry, media companies and international finance. He has edited articles on national demographics, sports, personal income and travel.

His work has been quoted or mentioned in The New York Times, The Wall Street Journal, Los Angeles Times, The Washington Post, NBC News, Time, The New Yorker, HuffPost USA Today, Business Insider, Yahoo, AOL, MarketWatch, The Atlantic, Bloomberg, New York Post, Chicago Tribune, Forbes, The Guardian and many other major publications. McIntyre has been a guest on CNBC, the BBC and television and radio stations across the country.

A magna cum laude graduate of Harvard College, McIntyre also was president of The Harvard Advocate. Founded in 1866, the Advocate is the oldest college publication in the United States.

TheStreet.com, Comps.com and Edgar Online are some of the public companies for which McIntyre served on the board of directors. He was a Vicinity Corporation board member when the company was sold to Microsoft in 2002. He served on the audit committees of some of these companies.

McIntyre has been the CEO of FutureSource, a provider of trading terminals and news to commodities and futures traders. He was president of Switchboard, the online phone directory company. He served as chairman and CEO of On2 Technologies, the video compression company that provided video compression software for Adobe’s Flash. Google bought On2 in 2009.

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