Asset Growth and the Cross-Section of Stock Returns
Source: Cooper, M. J., Gulen, H. & Schill, M. J. (2008) · Journal of Finance 63(4), 1609–1651
TL;DR
Firms that grow total assets quickly earn low subsequent returns; slow-growers earn high returns. Over 1968–2003, value-weighted decile returns are ~18%/year for the lowest asset-growth decile versus ~5%/year for the highest; the spread portfolio has an annual Sharpe of 1.07 (vs 0.37 for value, 0.13 for size, 0.73 for momentum over the same sample). After risk adjustment the low-minus-high spread is ~8%/year value-weighted and ~20%/year equal-weighted. The effect survives even in large caps and underlies the modern "investment" factor (CMA).
What anomaly it documents
Predictor: year-on-year percentage change in total assets (Compustat data item 6) — a comprehensive, whole-balance-sheet investment measure.
Robustness: low-growth stocks beat high-growth stocks in 71% of years VW and 91% of years EW; the effect persists up to ~5 years past sorting; asset growth dominates B/M, size, lagged returns, accruals, and other growth measures in cross-sectional regressions (t-stats more than twice those of other predictors).
OSAP predictor: AssetGrowth.
How it is constructed
Sorting variable: (Total assets_{t-1} − Total assets_{t-2}) / Total assets_{t-2}, lagged to the prior fiscal year.
Universe: US common stocks; size groups defined by 30th/70th NYSE ME percentiles in June of year t — the effect is strongest in small firms but remains strong in large caps (large-cap three-factor VW alpha spread ≈ 10%/year).
Portfolio: decile sort; long low-asset-growth, short high-asset-growth; value- or equal-weighted, rebalanced annually.
Evidence and replication
Portfolio
Result
Source
VW low − high (raw)
~18% vs ~5%/year; Sharpe of spread 1.07
this paper
Risk-adjusted spread
~8%/year VW; ~20%/year EW (FF three-factor alpha)
this paper
Large-cap subset
three-factor VW alpha spread ≈ 10%/year
this paper
Expect out-of-sample decay; the result is robust across many risk and sample-formation adjustments in the paper.
Why it might work
Overinvestment / extrapolation mispricing: the market over-extrapolates growth and rewards expansion that is later corrected.
Investment-based (q-theory) risk: firms invest more when their cost of capital (expected return) is low — a rational reading consistent with the investment factor.
Limitations and risks
Distinguishing mispricing from a rational investment factor is hard (the paper documents the effect, not a definitive mechanism).
Annual rebalancing on accounting data requires point-in-time discipline; small-cap tilt and trading costs apply.
Key references
Cooper, M., Gulen, H. & Schill, M. (2008) — Asset Growth and the Cross-Section of Stock Returns — Journal of Finance
Titman, S., Wei, K. C. & Xie, F. (2004) — Capital Investments and Stock Returns — JFQA
Fama, E. & French, K. (2015) — A Five-Factor Asset Pricing Model — JFE
Provenance: verified/generated from the paper's full text.
Reference replication on ConvexPi
An open, verified replication of this strategy is maintained at convexpi/replications. It recomputes the strategy from underlying building blocks and scores it out of sample (the McLean & Pontiff test):
