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The Stock Market Valuation of Research and Development Expenditures

Louis K. C. Chan, Josef Lakonishok, Theodore Sougiannis

The Journal of Finance · 2001 · 1793 citations

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The Stock Market Valuation of Research and Development Expenditures


Source: Chan, Lakonishok & Sougiannis (2001) · The Journal of Finance · DOI: 10.1111/0022-1082.00411


TL;DR


Because U.S. GAAP expenses R&D, R&D-built intangible assets never appear on the balance sheet. Chan, Lakonishok & Sougiannis find that, on average, firms doing R&D earn returns similar to firms with none — but R&D intensity matters in two pockets: among growth stocks, R&D-intensive firms outperform low-R&D peers, and firms with high R&D relative to market value (which tend to have poor past returns) show strong signs of mispricing and subsequently outperform. Advertising shows a similar pattern. The market underweights the payoff to intangible investment.


What anomaly it documents


  • Predictor: R&D intensity, especially R&D scaled by market value of equity (and, similarly, advertising).
  • Direction: positive — high R&D-to-market firms (and R&D-intensive growth stocks) earn higher subsequent returns; R&D alone (vs no R&D) is return-neutral on average.
  • Shape: extreme-quintile alpha ≈ 0.60% per month in the first year; effect concentrated where R&D is large relative to a depressed market value.
  • OSAP predictor: R&D / AdExp.

  • How to construct it


  • Sorting variable: R&D (and advertising) scaled by market value of equity; portfolios formed at end of April each year.
  • Universe: R&D-reporting NYSE/AMEX/Nasdaq firms.
  • Portfolio formation: rank into R&D-to-market quintiles.
  • Long / short: long high R&D-to-market, short low.
  • Weighting: the paper reports quintile-portfolio alphas.
  • Rebalancing: annual.

  • Evidence and replication


    PeriodNotesSource
    1975–1995R&D firms ≈ non-R&D on average; high R&D-to-market quintile α ≈ 0.60%/mo (yr 1)this paper
    Advertisingsimilar mispricing pattern for advertising intensitythis paper
    OSAP (R&D / AdExp)replicatesChen & Zimmermann 2022

    Why it might work


  • Intangibles omission: expensed R&D is missing from book value, so R&D-rich firms look deceptively expensive on book-to-market and the market underprices the option value of R&D.
  • Pessimism correction: high R&D-to-market firms have depressed prices/past returns the market over-discounts.
  • Risk note: the paper documents that R&D intensity is positively associated with return volatility.

  • Limitations and risks


  • Value entanglement: scaling by market value mixes in the value effect.
  • Sector concentration: clusters in tech/pharma.
  • Fundamentals dependence: needs R&D (and advertising) line items.

  • Key references


  • Chan, L., Lakonishok, J. & Sougiannis, T. (2001) — The Stock Market Valuation of Research and Development Expenditures — Journal of Finance — DOI: 10.1111/0022-1082.00411
  • Eberhart, A., Maxwell, W. & Siddique, A. (2004) — Long-Term Abnormal Returns Following R&D Increases — JF


  • Provenance: verified against the paper's full text (open-access PDF via Semantic Scholar); figures quoted are from the paper.

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