The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Demographics and Industry Returns
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. (JEL E21, G12, G32, J11, L11, L25)
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Cites
The Cross‐Section of Expected Stock Returns
FAMA, E. F., & FRENCH, K. R. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04398.x · Cited by 17,261
Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency
JEGADEESH, N., & TITMAN, S. (1993) · The Journal of Finance · doi:10.1111/j.1540-6261.1993.tb04702.x · Cited by 11,584
Does the Stock Market Overreact?
De BONDT, W. F. M., & THALER, R. (1985) · The Journal of Finance · doi:10.1111/j.1540-6261.1985.tb05004.x · Cited by 7,578
An Intertemporal Capital Asset Pricing Model
Merton, R. C. (1973) · Econometrica · doi:10.2307/1913811 · Cited by 6,508
Noise Trader Risk in Financial Markets
De Long, J. B., Shleifer, A., Summers, L. H., & Waldmann, R. J. (1990) · Journal of Political Economy · doi:10.1086/261703 · Cited by 6,234
Barber, B. M., & Odean, T. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm079 · Cited by 4,556
Department of Health, Education, and Welfare
Cooper, T. (1976) · Military Medicine · doi:10.1093/milmed/141.8.521 · Cited by 3,993
The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors
Campbell, J. Y., & Shiller, R. J. (1988) · Review of Financial Studies · doi:10.1093/rfs/1.3.195 · Cited by 3,774
The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors
Campbell, J., & Shiller, R. (1986) · National Bureau of Economic Research · doi:10.3386/w2100 · Cited by 2,425
Psychology and Economics: Evidence from the Field
DellaVigna, S. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.2.315 · Cited by 2,365
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Psychology and Economics: Evidence from the Field
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Metadata
- Authors
- DellaVigna, S., & Pollet, J. M.
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2007-12-01
- Volume
- 97
- Issue
- 5
- Pages
- 1667-1702
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W2082946143
- Cited by
- 277
- References
- 47
- FWCI
- 22.44
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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