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R&D Intensity as a Signal for Stock Returns

Article Quantpedia

Summary

The document describes an equity strategy that ranks NYSE, Nasdaq, and AMEX stocks by research and development spending relative to market capitalization. At the end of April, it sums each company’s R&D expenditure over the prior five years, scales that amount by market value, and forms an equally weighted long-short portfolio: long the highest quintile and short the lowest. The portfolio is rebalanced annually. The proposed rationale is that accounting rules expense R&D immediately even though it may support future revenues, potentially causing investors to undervalue firms with substantial research investment.

The page summarizes research finding higher future average returns among firms with high R&D relative to market value and includes a later study with mixed statistical evidence. It also reports that the strategy has very low beta but can lose during bear markets, and notes that R&D intensity may be associated with higher return volatility. The evidence is not conclusive about whether the effect reflects mispricing or compensation for risk; the supplied summaries do not establish a single causal mechanism.

Key ideas

  • The signal scales a company’s R&D spending over five years by its market capitalization.
  • The described portfolio buys the highest R&D-intensity quintile and shorts the lowest, with equal weights and annual rebalancing.
  • Immediate expensing of R&D may obscure its potential as a long-term intangible investment.
  • The source research reports higher average returns for some R&D-intensive stocks, but later evidence is mixed.
  • R&D intensity may bring greater volatility, and the strategy can suffer in bear markets.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.