Academic Research Insight: Predicting Long Run Stock Returns? It’s All About the Payout.

//, Basilico and Johnsen, Academic Research Insight/Academic Research Insight: Predicting Long Run Stock Returns? It’s All About the Payout.

Academic Research Insight: Predicting Long Run Stock Returns? It’s All About the Payout.

By |2017-12-26T09:30:25+00:00December 26th, 2017|Research Insights, Basilico and Johnsen, Academic Research Insight|

The Long-Run Drivers of Stock Returns: Total Payouts and the Real Economy

  • Philip U. Straehl and Roger G. Ibbotson
  • Financial Analysts Journal
  • 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. Given the prevalence of buybacks as a form of corporate payouts, should they be explicitly included in supply-side models such as the dividend discount model (DDM) used to forecast of stock returns?
  2. Does the same superior performance extend to the prediction of short-term changes in expected returns?

What are the Academic Insights?

  1. YES.  Dividends, as a payout measure, affect the income component of returns, while buybacks affect the price per share component. If a historical time series of dividend payouts is used as a proxy for growth, an underestimate of the forward-looking return will occur if the series includes periods of significant buyback activity.  The authors construct two new models (dividend + cash buybacks; and dividend + net issuances) of total payouts that are independent of the payout policies of corporations and compare them to the growth rate of the real economy. Results show that total payouts are a more stable proxy for corporate payouts than dividends. Inconsistent with previous research, this study provides evidence that long-run growth in total payouts can be estimated from the long run growth in the real economy. Over the period 1901-2014, aggregate total payouts per share grew at 3.27% and GDP grew at 3.36% with a t-statistic of 0.75, testing for differences. Over the period 1872-2014, total payouts per share grew at 1.67% and growth in GDP per capita was 1.83%, with a t-statistic of .61.
  2. YES.  In regressions performed over the most recent sample period, 1970–2014, buyback adjusted measures performed equally as well or outperformed traditional models utilizing dividend yields only.

Why does it matter?

This study is interesting because it pinpoints a period of time in which a structural break in the return components of the time series of returns used by traditional supply-side models of return forecasting occurred.  In the early 80s, buybacks were gradually substituted for dividends until they actually surpassed the total dividends in the most recent ten year period. This apparent change in corporate payout policy also coincided with the adoption of SEC Rule 10b-18 providing a safe harbor for firms conducting share buybacks, in 1982. Traditional supply type models such as the DDM, as applied by practitioners have generally fail to incorporate this structural shift. The resulting underestimates of future long and short-term stock returns occur when current and historical market returns are combined in the DDM, and data is unadjusted for the impact of buybacks on shares.

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, do not reflect management or trading fees, and one cannot invest directly in an index.


We provide theoretical and empirical evidence over 1871–2014 that total payouts (dividends plus buybacks) are the key drivers of long-run stock market returns. We show that total payouts per share (adjusted for the share decrease from buybacks) grew in line with economic productivity, whereas aggregate total payouts grew in line with GDP. We also show that a dividend discount model (DDM) based on current yields and historical growth rates underestimates expected returns relative to the total payout model. Finally, we demonstrate that the cyclically adjusted total yield (CATY) predicts changes in expected returns at least as well as the cyclically adjusted price-to-earnings ratio (CAPE).

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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.
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