Asset Growth and Stock Market Returns: A Time-Series Analysis

Quan Wen

Review of Finance, 2019, vol. 23, issue 3, 599-628

Abstract: I find that aggregate asset growth constructed from bottom-up data negatively predicts future market returns both in and out-of-sample and this result is robust across G7 countries. I further show that aggregate asset growth contains information about future market returns not captured by traditional macroeconomic variables and other measures of investment or growth. The forecasting ability of asset growth is strongly correlated with its propensity to predict more optimistic analyst forecasts and subsequent downward revisions, earnings surprise, and systematic errors in investors’ expectations. The time-varying risk premium also appears key in explaining the documented return predictability.

Keywords: Asset growth; Return predictability; Time-varying risk premium; Forecast errors; extrapolation (search for similar items in EconPapers)
JEL-codes: G12 G14 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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