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Cited by 2,180

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Consumption, Aggregate Wealth, and Expected Stock Returns

Lettau, Martin, Ludvigson, Sydney·2001·The Journal of Finance

Abstract

This paper studies the role of fluctuations in the aggregate consumption–wealth ratio for predicting stock returns. Using U.S. quarterly stock market data, we find that these fluctuations in the consumption–wealth ratio are strong predictors of both real stock returns and excess returns over a Treasury bill rate. We also find that this variable is a better forecaster of future returns at short and intermediate horizons than is the dividend yield, the dividend payout ratio, and several other popular forecasting variables. Why should the consumption–wealth ratio forecast asset returns? We show that a wide class of optimal models of consumer behavior imply that the log consumption–aggregate wealth (human capital plus asset holdings) ratio summarizes expected returns on aggregate wealth, or the market portfolio. Although this ratio is not observable, we provide assumptions under which its important predictive components for future asset returns may be expressed in terms of observable variables, namely in terms of consumption, asset holdings and labor income. The framework implies that these variables are cointegrated, and that deviations from this shared trend summarize agents' expectations of future returns on the market portfolio.

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Metadata

Authors
Lettau, M., & Ludvigson, S.
Venue
The Journal of Finance
Publisher
Wiley
Published
2001-06
Volume
56
Issue
3
Pages
815-849
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W3121790069
Cited by
2,180
References
3
FWCI
68.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Consumption, Aggregate Wealth, and Expected Stock Returns. https://app.cochat.ai/papers/10.1111/0022-1082.00347
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Lettau, M., & Ludvigson, S. (2001). Consumption, Aggregate Wealth, and Expected Stock Returns. The Journal of Finance. https://doi.org/10.1111/0022-1082.00347

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.