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Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers

Joseph D. Piotroski

Journal of Accounting Research · 2000 · 1251 citations

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Value Investing: Using Financial Statement Information (the F-Score)


Source: Piotroski (2000) · Journal of Accounting Research · DOI: 10.2307/2672906


TL;DR


Among high book-to-market (value) firms — many financially distressed — a simple 9-point fundamental score (FSCORE) separates future winners from losers. Selecting strong-fundamentals firms raises a value investor's mean return by at least ~7.5% per year, and a long high-FSCORE / short low-FSCORE book within the value universe earns roughly 23% annually, concentrated in small, thinly-followed firms. Fundamental analysis pays off precisely where the market pays least attention.


What anomaly it documents


  • Predictor: Piotroski FSCORE (0–9), summing nine binary financial-health signals.
  • Direction: positive — high-FSCORE value firms outperform low-FSCORE value firms.
  • Shape: ~7.5%/yr lift to a value investor's mean; ~23%/yr high-minus-low; concentrated in small/low-coverage firms.
  • OSAP predictor: PS (Piotroski score).

  • How to construct it


  • Sorting variable: FSCORE = sum of 9 signals across profitability (positive ROA, positive CFO, rising ROA, CFO > net income), leverage/liquidity (falling leverage, rising current ratio, no equity issuance), and operating efficiency (rising gross margin, rising asset turnover).
  • Universe: high book-to-market (top BM quintile) firms (1976–1996).
  • Portfolio formation: within value stocks, rank by FSCORE.
  • Long / short: long FSCORE 8–9, short FSCORE 0–1.
  • Weighting: equal-weighted.
  • Rebalancing: annual, after financial statements.

  • Evidence and replication


    PeriodNotesSource
    1976–1996+~7.5%/yr to a value investor's mean; ~23%/yr high-minus-low; concentrated in small firmsthis paper
    OOS (post-2000)persists, weaker; needs fundamentals datapost-publication
    OSAP (PS)replicatesChen & Zimmermann 2022

    Why it might work


  • Neglect + limits to arbitrage: value firms are small, distressed, and under-followed, so fundamentals are slow to be impounded.
  • Conditioning on quality: value contains cheap-good and cheap-bad firms; FSCORE screens out the deteriorating ones.

  • Limitations and risks


  • Small-cap/illiquid tilt: returns concentrate in hard-to-trade names.
  • Fundamentals-data dependence: requires point-in-time statements.
  • Value-regime risk: inherits value's long droughts.

  • Key references


  • Piotroski, J. (2000) — Value Investing: The Use of Historical Financial Statement Information — Journal of Accounting Research — DOI: 10.2307/2672906
  • Mohanram, P. (2005) — Separating Winners from Losers among Low Book-to-Market Stocks — RAST


  • Provenance: verified/generated from the paper's full text.

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    Wiki last updated: June 27, 2026