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P/Es: Still Not Predictive After All These Years

 May 22, 2014 10:26 AM

15.3.[i] That's the forward 12-month S&P 500 price-to-earnings ratio (P/E) as of April 30, 2014. Only a hair above its level on September 16, 2009. Stocks valued like they were in the early days of this big, US-led bull market? Bullish, right?! Yet oddly, that's not quite how media chooses to see valuations today. Most seem to see it as a call to either underweight US stocks or run for your bubble bunker. So which is it? Are equity valuations today bullish or bearish? Answer: Neither. P/Es—no matter how you slice, dice and splice the data—are of little use in forecasting market conditions. Constantly seeking low valuations in markets is a fallacy.

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Sound startling? We understand. It seems intuitive that valuations should matter for stocks' directionality. After all, what can be more fundamental to a private business than profits? And as an investor, you're buying a small slice of ownership in a business. How the business's share price relates to those earnings would seem like a fair way to judge whether investors are paying too much (the stock is "overvalued") or too little ("undervalued"). Yet markets are often counterintuitive.

The current P/E is neither unprecedented nor especially high by historical standards. Exhibit 1 shows the S&P 500's Forward P/E since 1995, with levels within a rounding error of today's circled. The first occurs in 1996. About three and a half years of strong bull market (and much higher P/Es) followed. The next three are at the tail end of a bear market—fairly close to the bottom. There are several in 2004, then one in 2007. There, 15.3 seems right around the top of the market. So the same level occurs in the middle, at the bottom, in the middle and at the top of the market cycle. Random—which, in isolation, tells you nothing about what comes next. This isn't unique to this particular reading or forward P/Es.

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Exhibit 1: S&P 500 Forward 12-Month P/E Ratios

Source: FactSet, monthly 12-month forward P/E ratios, September 1995 – April 2014.

Some suggest forward 12-month P/Es aren't the right measure, instead pointing to trailing 12-month P/Es—real earnings figures, not analysts' projections. But those real figures are all from the past, which lacks predictive quality, too. A quick peek at Exhibit 2 should suffice to show the present 18.8 reading isn't predictive. Similar readings have occurred at five points since 1995. The pattern isn't stocks progressing from super cheap to super expensive—again, not intuitive. At least, not until you do the math. Stock prices and earnings don't move concurrently. Stocks—the ultimate leading indicator—usually start falling before a recession. The numerator falls, so the P/E drops. The recession later wreaks havoc on earnings—the denominator plummets, and the P/E soars. That results in counterintuitive facts like stock prices bottoming in March 2009—when the trailing 12-month P/E was 110 (literally off this chart). Stocks then got more expensive the next three months before earnings began recovering. If you go by valuations alone, as stock prices rose, they got "cheaper."

Exhibit 2: S&P 500 Trailing 12-Month P/E Ratios

Source: Multpl.com, monthly S&P 500 P/E Ratios. September 29, 1995 – May 19, 2014 (May 19 is estimated).

Still others suggest both the above are flawed, instead arguing earnings are just too darn volatile in the short run and must be smoothed out—blended over longer periods of time. Hence we get measures like the Cyclically Adjusted Price-to-Earnings Ratio (CAPE, or Shiller P/E after its founder, Yale Professor Robert Shiller). The CAPE smoothes those jagged earnings by averaging profits over the last decade and comparing the resulting figure to stock prices. This means forecasting partly based on earnings more relevant during the Bush/Kerry election year (the Swift Boat Race, if you will), the year Smarty Jones won the Preakness and Kentucky Derby (like California Chrome this year) and a year before Hurricane Katrina. It also means 2008-2009's damage to earnings—which leads to the sharp upward spike in Exhibit 2—is inflating the CAPE. In our view, it is hard to argue this has much relevancy for the future.

Exhibit 3: S&P 500 CAPE Ratio

Source: Multpl.com, monthly S&P 500 CAPE ratio, September 29, 1995 – May 19, 2014 (May 19 is estimated).

Take note, too, that there isn't anything lofty about current levels. S&P 500 CAPE hovered around 25 during much of 2003, 2004 and 2005.

Finally, consider: CAPE was not intended to forecast cyclical turning points in markets. As we've written, CAPE conceptually is a tool to forecast the next decade of returns (folly, but that's a topic for another day)—hence the 10-year smoothing. But the punditry often suggests using it cyclically or strategically flipping among low CAPE areas. However, mixing the intended function and the cyclical predictiveness could imply the good times keep a' rollin' through 2019, with a possible downturn thereafter. We'd suggest that's a might unforeseeable—and exuberant.

So the next time you hear or read media suggesting stocks are in a bubble or some big sector or country rotation is afoot, and it's all based on valuations, consider: The only permanence in markets is their cyclicality. As bull markets mature, folks gain confidence and are willing to pay more for earnings. Valuations typically expand in maturing bull markets—a phenomenon that can last for quite a while—and there is no automatic ceiling. Fearing the bull must end soon, simply because valuations are creeping up, is premature.

[i] Source: FactSet, S&P 500 12-Month Forward Earnings Yield as of 04/30/2014.

source: Market Minder
Disclaimer: This article reflects personal viewpoints of the author and is not a description of advisory services by Fisher Investments or performance of its clients. Such viewpoints may change at any time without notice. Nothin herein constitutes investment advice or a recommendation to buy or sell any security ot that any security, portfolio, transaction or strategy is suitable for any specific person. Investments in securities involve the risk of loss. Past performance is no guarantee of future results.


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