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American Economic Review Vol. 97 No. 5 2007

Demographics and Industry Returns

Stefano DellaVigna1; Joshua Matthew Pollet2

1 Department of Economics, University of California, Berkeley, 549 Evans Hall, #3880, Berkeley, CA 94729 and National Bureau of Economic Research. · 2 Department of Finance, University of Illinois at Urbana-Champaign, 8 Wohlers Hall, 1206 South Sixth Street, Champaign, IL 61820.

Abstract

How do investors respond to predictable shifts in profitability? We consider how demographic shifts affect profits and returns across industries. Cohort size fluctuations produce forecastable demand changes for age-sensitive sectors, such as toys, bicycles, beer, life insurance, and nursing homes. These demand changes are predictable once a specific cohort is born. We use lagged consumption and demographic data to forecast future consumption demand growth induced by changes in age structure. We find that demand forecasts predict profitability by industry. Moreover, forecast demand changes five to ten years in the future predict annual industry stock returns. One additional percentage point of annualized demand growth due to demographics predicts a 5 to 10 percentage point increase in annual abnormal industry stock returns. However, forecasted demand changes over shorter horizons do not predict stock returns. A trading strategy exploiting demographic information earns an annualized risk-adjusted return of approximately 6 percent. We present a model of inattention to information about the distant future that is consistent with the findings. We also discuss alternative explanations, including omitted risk-based factors.

DOI
10.1257/aer.97.5.1667
Volume
97
Issue
5
Pages
1667-1702
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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