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Aggregate consumption-wealth ratio and the cross-section of stock returns: some international evidence

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  • Paul Gao
  • Kevin X. D. Huang

Abstract

We find that the short-term deviations from long-run consumption-wealth relationship (cay) forecast stock market returns and serve as a conditioning variable in the capital asset pricing model (CAPM) for explaining the cross-section of stock returns for the United Kingdom and Japan. Our cross-sectional regressions using cay as a conditioning variable as opposed to using an alternative variable, tay, constructed using calendar time in place of consumption indicate that it is unlikely to be a spurious variable and provides useful information concerning the economic fundamentals. We show that both a consumption-based capital asset pricing model (CCAPM) and a human-capital-augmented capital asset pricing model (HC-CAPM) in conjunction with this conditioning variable can explain much of the cross-section of stock returns in each of the two countries; yet, in terms of relative performance, our results tend to favor the conditional HC-CAPM over the conditional CCAPM for pricing U.K. and Japanese cross-sectional returns.

Suggested Citation

  • Paul Gao & Kevin X. D. Huang, 2004. "Aggregate consumption-wealth ratio and the cross-section of stock returns: some international evidence," Research Working Paper RWP 04-07, Federal Reserve Bank of Kansas City.
  • Handle: RePEc:fip:fedkrw:rwp04-07
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    More about this item

    Keywords

    capital asset pricing model;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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