The first chart is histogram of the quarterly, trailing 12-month (TTM) P/E ratios of the S&P 500 since 1950. It shows the frequency with which the market has traded around a given level relative to earnings. As is shown, the market has traded right around its current P/E ratio 30% of the time since 1950. The chart also shows that when the market trades at twenty or more times trailing earnings, it does not trade there for long. Relative to the past 50+ years, the valuation level does not seem to be excessive.
There is a clear relationship, as there should be, between the earnings yield on stocks and long-term interest rates. As the chart shows, the average spread between the earnings yield on stocks and the rate on Treasuries over this 54-year period is just 0.3%. Currently, that spread is 1.0%; stocks yield 5.7% on a trailing basis and the 10-year T-note is trading at 4.7%. What this basically means is that if the S&P 500 experienced zero growth over the next 10 years and paid out all earnings as dividends it would yield 1% more than Treasuries. Looking from this perspective, on a relative basis stocks appear to be less expensive than average. Yet 10-year T-notes have traded as high as 5.3% in the past couple months, which would bring the spread down to only 0.4%, about average. And just because stocks are relatively more attractive does not mean they couldn't get more attractive (read: continue to fall). As the chart reveals, the earnings yield on stocks was substantially higher than long-term rates for the better part of the 1970s. Such a situation would present an incredible buying opportunity.
A couple caveats about these charts: the P/E ratio – and the earnings yield – is very dependent on the E(arnings). If recessionary conditions come back into the fore, corporate earnings will fall (the earnings yield will drop, absent stock price declines). This analysis is meant to provide some perspective on what the market looks like relative to low-risk alternatives such as long-term bonds (favorable). Also, the time period I chose (largely as a result of the data set that was available) could also have an impact on the averages I’ve calculated. They are merely illustrative and should not be construed as precise calculations. It is better to be approximately right than precisely wrong, as Warren Buffett says.