The Value Spread as a Predictor of Returns

Working Paper: NBER ID: w11326

Authors: Naiping Liu; Lu Zhang

Abstract: Recent studies have used the value spread to predict aggregate stock returns to construct cash-flow betas that appear to explain the size and value anomalies. We show that two related variables, the book-to-market spread (the book-to-market of value stocks minus that of growth stocks) and the market-to-book spread (the market-to-book of growth stocks minus that of value stocks) predict returns in different directions and exhibit opposite cyclical variations. Most important, the value spread mixes information on the book-to-market and market-to-book spreads, and appears much less useful in predicting returns.

Keywords: No keywords provided

JEL Codes: G12; E44; M41


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
book-to-market spread (G19)future market excess returns (G17)
book-to-market spread (G19)small firm excess returns (L25)
market-to-book spread (G19)future returns (G17)
value spread (D46)returns (Y60)

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