Market Cap To GDP: An Updated Look At The Buffett Valuation Indicator

 | May 03, 2017 01:18AM ET

Note: This update incorporates the latest monthly close and the GDP Q1 Advance Estimate data.

Market Cap to GDP is a long-term valuation indicator that has become popular in recent years, thanks to Warren Buffett. Back in 2001 he remarked in a Fortune Magazine interview that "it is probably the best single measure of where valuations stand at any given moment."

The four valuation indicators we track in our monthly valuation overview offer a long-term perspective of well over a century. The raw data for the "Buffett indicator" only goes back as far as the middle of the 20th century. Quarterly GDP dates from 1947, and the Fed's balance sheet has quarterly updates beginning in Q4 1951. With an acknowledgment of this abbreviated timeframe, let's take a look at the plain vanilla quarterly ratio with no effort to interpolate monthly data.

The strange numerator in the chart title, Q Ratio valuation indicator.

h3 The Latest Data/h3

The denominator in the charts below now includes the Advance Estimate of Q1 GDP. The latest numerator value is extrapolated based on the quarterly change in the Wilshire 5000. The current reading is 133.2%, up from 125.2% the previous quarter. It is currently at its interim high.

Here is a more transparent alternate snapshot over a shorter timeframe using the Wilshire 5000 Full Cap Price Index divided by GDP. We've used the St. Louis Federal Reserve's FRED repository as the source for the stock index numerator (WILL5000PRFC ). The Wilshire Index is a more intuitive broad metric of the market than the Fed's rather esoteric "Nonfinancial corporate business; corporate equities; liability, Level". This Buffett variant is also at its interim high.

A quick technical note: To match the quarterly intervals of GDP, for the Wilshire data we've used the quarterly average of daily closes rather than quarterly closes (slightly smoothing the volatility).

h3 How Well do the Two Views Match?/h3

The first chart above uses Fed data back to the middle of the last century for the numerator, the second uses the Wilshire 5000, the data for which only goes back to 1971. The Wilshire is the more familiar numerator, but the Fed data gives us a longer timeframe. And those early decades, when the ratio was substantially lower, have definitely impacted the trend.

To illustrate the point, here is an overlay of the two versions over the same timeframe. The one with the Fed numerator has a tad more upside volatility, but they're singing pretty much in harmony.

Incidentally, the Fed's estimate for Wilshire 5000 currently consists of fewer than 4000 companies.

h3 Detrending the Data/h3

A conspicuous feature of the Buffett indicator is the upward trend over the decades since the start of the data series. For a better sense of valuation over time, let's detrend the data by letting Excel draw a regression through the series and eliminating the upward trend. First, let's draw the regression through the series.

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Now let's detrend and add standard deviations.

The approach in the chart above is the same we use in our monthly update of the S&P Composite: Regression to Trend: The Latest Look at Long-Term Market Performance .

Wouldn't GNP Give a More Accurate Picture?

That is another question we've been asked many times. Here is the same calculation with Gross National Product as the denominator; the two versions differ very little from their Gross Domestic Product counterparts.

Here is an overlay of the two GNP versions -- again, very similar.