Haver Analytics
Haver Analytics
Global| Sep 30 2019

"Solving" The Profits Puzzle

Summary

The profits puzzle is no more. A recent report by the Bureau of Economic Analysis (BEA) stated that the primary reason that the GDP measure of operating profits does not show the "large run-up in profits" in other "popular measures" [...]


The profits puzzle is no more. A recent report by the Bureau of Economic Analysis (BEA) stated that the primary reason that the GDP measure of operating profits does not show the "large run-up in profits" in other "popular measures" (e.g., S&P profits) is because it does not include capital gains, while other measures do. And it’s happening again.

BEA periodically publishes a report that provides a "conceptual bridge" to gauge the differences between the growth rates of the GDP measure of profits and S&P 500 reported profits.

According to BEA there are several accounting principles that affect measures of receipts and expenses and their timing, and "comparisons can be meaningful" with GDP & S&P 500 operating profits only if adjustments are made for the differences.

The adjustments fall into two broad categories: capital gains (net of losses) and bad debt expenses. Trading gains and losses are considered part of S&P 500 operating profits, but not part of GDP profits since they reflect a change (gain or loss) in the valuation of existing asset. Also, bad debt expenses are included in the GDP measure of profits since these reflect an adjustment to corporate balance sheet, while the write-down of existing assets are excluded from S&P 500 profits.

In past reports, BEA has published a series on GDP profits (after tax) and then an adjusted GDP profit series, netting out the bad debt expenses and adding back the capital gains (net of losses) in order to make the GDP profit series more aligned with the financial accounting basis for S&P profits.

According to the data published by BEA, capital gains (net of losses) run about 3 times larger than bad debt expenses during periods of economic growth and rising asset markets. But during periods slow growth or recession and falling risk markets capital gains (net of losses) can run equal to or even below bad debt expenses. Also, capital gains (net of losses) can ran as high as 30% of GDP measure of profits during rising risk markets.

Yet, it’s the "growth rates" that BEA believes offer the most meaningful insight when assessing the differences between adjusted GDP and S&P profits measures. And the differences in growth rates can be quite substantial, and in some cases the profit series move in opposite directions.

For example, in 2000 during the peak of tech bubble S&P operating earnings showed a double-digit gain in earnings, while the adjusted GDP measure of profits posted a decline. And in 2008 (financial crisis) the S&P operating profit declines was substantially larger than the GDP adjusted measure.

A senior BEA official said the next reconciliation report on GDP and S&P 500 profits would not be released until late 2020. Nevertheless, its already been well documented that capital gains are the key "wedge" between GDP and S&P profits and represent the most likely source of 2014 to 2019 outperformance of S&P 500 operating earnings. And its also important to note that while capital gains provide an extra boost to the growth rate of S&P 500 operating profits during rising risk markets they also represent a huge drag during down markets.

Viewpoint commentaries are the opinions of the author and do not reflect the views of Haver Analytics.
  • Joseph G. Carson, Former Director of Global Economic Research, Alliance Bernstein.   Joseph G. Carson joined Alliance Bernstein in 2001. He oversaw the Economic Analysis team for Alliance Bernstein Fixed Income and has primary responsibility for the economic and interest-rate analysis of the US. Previously, Carson was chief economist of the Americas for UBS Warburg, where he was primarily responsible for forecasting the US economy and interest rates. From 1996 to 1999, he was chief US economist at Deutsche Bank. While there, Carson was named to the Institutional Investor All-Star Team for Fixed Income and ranked as one of Best Analysts and Economists by The Global Investor Fixed Income Survey. He began his professional career in 1977 as a staff economist for the chief economist’s office in the US Department of Commerce, where he was designated the department’s representative at the Council on Wage and Price Stability during President Carter’s voluntary wage and price guidelines program. In 1979, Carson joined General Motors as an analyst. He held a variety of roles at GM, including chief forecaster for North America and chief analyst in charge of production recommendations for the Truck Group. From 1981 to 1986, Carson served as vice president and senior economist for the Capital Markets Economics Group at Merrill Lynch. In 1986, he joined Chemical Bank; he later became its chief economist. From 1992 to 1996, Carson served as chief economist at Dean Witter, where he sat on the investment-policy and stock-selection committees.   He received his BA and MA from Youngstown State University and did his PhD coursework at George Washington University. Honorary Doctorate Degree, Business Administration Youngstown State University 2016. Location: New York.

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