Company Events & EarningsExtended setExperimentalNew

R&D Intensity Growth Momentum

Updated quarterlyData needs: lowlong only
paper
2001
Source
Chan, L. K. C., Lakonishok, J., Sougiannis, T. (2001). "The Stock Market Valuation of Research and Development Expenditures." Journal of Finance 56(6), 2431-2456.
Read the paper →

In plain terms

Companies spending heavily on R&D relative to their (often beaten-down) market value tend to be under-priced by the market and outperform over the following years. The signal buys when a firm's R&D-to-market-value jumps above its own 2-year baseline and holds for a quarter. Note: R&D relative to sales does not predict returns; scaling by market value is what carries the effect.

How it works

Chan-Lakonishok-Sougiannis 2001 find that R&D intensity per se (R&D/sales) does NOT predict returns; the predictive variable is R&D scaled by MARKET VALUE of equity. High R&D/MV firms, which tend to be beaten-down names with poor past returns, earn ~6.1% average annual excess returns over the following three years (a contrarian value effect, not price momentum). Implementation: rolling 8Q z-score of R&D / market value of equity (close at the filing's available_date x shares_outstanding, no look-ahead) fires LONG for one quarter per event; no trend confirmation, since a 60-day uptrend gate would select the opposite population from the paper's beaten-down winners.

Live results

0 times picked on its own · 11 times inside a blend (11 beat the stock) · updated 2026-07-06
This strategy is a frequent ingredient in blends that combine a few strategies on one stock. It has contributed to 11 such blended picks (11 of which beat simply holding the stock). Picking it on its own is only one of the ways it shows up.
How its picks scored vs. buy & hold
Each pick is graded on a recent year it was never tuned on, against simply owning the same stock
Where its edge concentrates
Share of picks in each company-size group that beat buy & hold
How often it trades
Active vs. patient. Bars on the left mean it waits for rare setups; bars on the right mean it trades often
Return vs. buy & hold
How much each pick beat or trailed simply owning the stock over the test year (extreme microcap moves trimmed)
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Data dependencies

  • Daily prices

    Adjusted-close OHLCV for every US-listed ticker; primary price feed.

  • Key metrics

    A data feed this strategy reads, refreshed on its normal schedule.

Expected edge

Reported return
+6.12% average annual excess return (high R&D/MV portfolio, 3-year post-formation)
Tested over
3-year post-formation; per-event hold 63d

Chan-Lakonishok-Sougiannis 2001: high R&D/MV portfolio earns ~6.1% average annual excess return over the 3 years post-formation; R&D/sales intensity alone is unpredictive.

Related families

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For informational and educational purposes only. Not financial advice. Learn more