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
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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Cites
STATISTICAL ANALYSIS OF COINTEGRATION VECTORS
Johansen, S. (1988) · Journal of Economic Dynamics and Control · doi:10.1016/0165-1889(88)90041-3 · Cited by 17,027
By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior
Campbell, J. Y., & Cochrane, J. H. (1999) · Journal of Political Economy · doi:10.1086/250059 · Cited by 5,210
Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement
Hodrick, R. J. (1992) · Review of Financial Studies · doi:10.1093/rfs/5.3.351 · Cited by 1,523
Cited by
A comprehensive look at the empirical performance of equity premium prediction
Welch, I., & Goyal, A. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm014 · Cited by 3,987
Predicting excess stock returns out of sample: Can anything beat the historical average?
Campbell, J. Y., & Thompson, S. B. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm055 · Cited by 2,919
“In 2003, the BEA revised the denitions of several variables used by Lettau and Ludvigson (2001) to construct their series. We use the updated data available on Martin Lettau’s website, not the original series used in Lettau and Ludvigson (2001). Data revisions raise the deeper problem that the series may not have bee…”
MethodInvestor Sentiment Aligned: A Powerful Predictor of Stock Returns
Huang, D., Jiang, F., Tu, J., & Zhou, G. (2015) · Review of Financial Studies · doi:10.1093/rfs/hhu080 · Cited by 1,123
Forecasting the equity risk premium: the role of technical indicators
Neely, C. J., Rapach, D. E., Tu, J., & Zhou, G. (2014) · Management Science · doi:10.1287/mnsc.2013.1838 · Cited by 1,003
Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle
STAMBAUGH, R. F., YU, J., & YUAN, Y. (2015) · The Journal of Finance · doi:10.1111/jofi.12286 · Cited by 940
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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