Macro Conditions May Enhance Short-term Predictability of the Shiller P/E

//, Basilico and Johnsen, Academic Research Insight/Macro Conditions May Enhance Short-term Predictability of the Shiller P/E

Macro Conditions May Enhance Short-term Predictability of the Shiller P/E

King of the Mountain: The Shiller P/E and Macroeconomic Conditions

  • Robert D. Arnott, Denis B. Chaves, and Tzee-man Chow
  • Journal of Portfolio Management
  • A version of this paper can be found here
  • Want to read our summaries of academic finance papers? Check out our Academic Research Insight category

What are the research questions?

  1. Is there a relationship between real yields and short-term market valuation?
  2. Is there a relationship between inflation rates and short-term market valuation?
  3. Does the predictive power of the Shiller P/E  improve by using yields and inflation?

What are the Academic Insights?

  1. YES. The authors describe a “mountain-shaped” relationship between stock market valuations and inflation rates and real yields. When levels of inflation and real yields are moderate, then the Market P/E rises above 16.7 (the unconditional historical average). When inflation or the real yield reside at extreme levels, the P/E is noticeably lower.  For the U.S., the Market P/E is generally at it’s highest when real yields are approximately 3% to 4%. When real yields are below 1% or above 6%, the P/E drops from 19.6 to 10.7. Outside this narrow interval, median P/Es fall rather quickly from a peak of 19.6 to 10.7 when real yields are below -1% and to 10.5 when real yields are above 6%.
  2. YES.  A similar pattern exists for inflation as does for real yields, relative to market valuation.  The median market P/E of 20.3 occurs when inflation is between 2% and 3%. However, as inflation increases the P/E declines faster than that observed for real yields. On the other side, the authors do not observe a steep decline in the P/E when the inflation rate also declines.  Perhaps an equity investment is not as effective as a hedge against inflation as conventional wisdom suggests.
  3. YES.  Using a regression model with a defined Gaussian function conditional on current levels of inflation and real yields provides superior forecasts for forecast horizons of 3 years or less. At longer horizons, the conditional model produces inferior results for periods of 3 to 5 years or longer. At that span, the basic Shiller P/E model maintains its impressive well-documented performance.

Why does it matter?

Although the insights provided by the analysis of the patterns observed for inflation and yields are interesting in and of themselves, the question of whether or not they add predictive value is of practical significance.  Since the results in terms of enhancement are limited to a 3 to 5-year investment horizon, using a conditional model based on current yields or current inflation to forecast longer-term horizons would not be advisable. This is not surprising as yields and inflation change over time, and today’s value are more than likely to differ 5 or more years out.(1)

Not to be overlooked, the methodology developed in this paper demonstrates that there are very effective ways, in comparison to standard linear regression approaches, to combine macro variables with a market P/E not only in the U.S., but across a number of developed markets. While the Shiller P/E is a powerful tool for the long term, it is also useful for forecasting short-term market returns using nonlinear methods. The authors are succinct on this point:

We need no longer rely on long-term historical averages to infer near-term mean-reversion targets.

The most important chart from the paper

The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged and do not reflect management or trading fees, and one cannot invest directly in an index.


Because of mean reversion, the Shiller cyclically adjusted price/earnings (P/E) ratio is a powerful predictor of long-horizon capital market returns. Like other valuation metrics, however, it is a poor predictor of short-term returns. The authors find that this is because the “normal” level of the Shiller P/E ratio varies with economic conditions. Other researchers have shown that while periods of moderate real interest rates allow higher market valuations, P/Es tend to fall when real rates are high or low. The present authors show a similar linkage between P/Es and inflation. Moderate, rather than rock-bottom, levels of inflation and real interest rates are associated with the highest valuation multiples, creating a valuation “mountain.” The authors also extend these findings to international developed markets. They further demonstrate that the P/E ratio becomes a statistically significant and economically meaningful predictor of shorter-term returns under the assumption that P/Es mean-revert toward the levels suggested by prevailing macroeconomic conditions rather than toward long-term averages.


  • The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. Our full disclosures are available here. Definitions of common statistics used in our analysis are available here (towards the bottom).
  • Join thousands of other readers and subscribe to our blog.
  • This site provides NO information on our value ETFs or our momentum ETFs. Please refer to this site.

References   [ + ]

1.see recent pieces here and here on a similar line of research from a team at Vanguard.

About the Author:

Tommi Johnsen, PhD
Dr. Tommi Johnsen, until retirement in 2017, was the Director of the Reiman School of Finance and a tenured faculty at the Daniels College of Business at the University of Denver.She has worked extensively as a consultant and investment advisor in the areas of quantitative methods and portfolio construction. She taught at the graduate and undergraduate level and published research in several areas including: capital markets, portfolio management and performance analysis, financial applications of econemetrics and the analysis of equity securities. Her publications have appeared in numerous peer-reviewed journals.
Yes No
This website uses cookies and third party services. Settings Ok


We use “cookies” on this site. A cookie is a piece of data stored on a site visitor’s hard drive to help us improve your access to our site and identify repeat visitors to our site. For instance, when we use a cookie to identify you, you would not have to log in a password more than once, thereby saving time while on our site. Cookies can also enable us to track and target the interests of our users to enhance the experience on our site. Usage of a cookie is in no way linked to any personally identifiable information on our site. Some of our business partners may use cookies on our site (for example, advertisers). However, we have no access to or control over these cookies.

Embedded Content

Articles on this Site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.