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Strategy #0000000015 · Value and fundamental factors

Book-to-price value
Rank firms by book equity relative to market value; cheap is a signal, not a promise.

Book-to-price divides book equity by market value. At each rebalance, the strategy buys higher-ratio stocks and sells lower-ratio stocks to test a relative-value spread.

Beginner-friendlyAbout 8 minutesEvidence and practical analysis

Three ways in

Understand the story. Then inspect the risk.

Start with a familiar situation, check the payoff, then test how the numbers change.

The idea · in two minutes

Jack compares how much book equity sits behind each pound of market value

Two firms each report £10 of book equity, but the market values them at £20 and £50. Their B/P ratios are 0.50 and 0.20, so Jack ranks the first as cheaper. That is a relative ranking, not a forecast of which share will rise next year.

On each formation date, a researcher uses financial statements already public at that time and current market values, then buys a high-ratio group and sells a low-ratio group. A long-short spread helps separate the signal from a broad market rally.

Rose points out that book equity is an accounting stock. Intangibles, goodwill impairments, buybacks and industry asset mix can distort comparisons, while a low valuation can reflect real deterioration. Point-in-time data, delistings, borrow costs and long periods of underperformance all matter.

  • 高 B/P 多頭組Teaching assumption: the cheap group returns +6% for one period.
  • 低 B/P 空頭組Teaching assumption: the expensive group returns −2%, contributing +2% to the short spread.
  • 多空組合扣成本6% − (−2%) − assumed 0.4% cost = 7.6%; arithmetic illustration only.

Illustrative research examples only. They are not live signals or a recommendation.

Variants · same family, different risk levers

Value signals differ by accounting numerator and market.

The common mechanism is relative valuation; cash flow, earnings, payouts, enterprise value and cross-asset versions change the numerator or universe.

Related strategyRelationshipWhat changesNew cost or risk
Book-to-market (Stattman / Fama–French)Core accounting valueRanks common book equity relative to market equity.Book value omits many internally created intangibles and must be point-in-time aligned.
Cash-flow-to-priceOperating cash-flow valueRanks operating cash flow relative to market value.Cash flow is cyclical and working-capital or investment changes can distort one year.
Earnings-to-priceEarnings yieldUses earnings relative to price, often excluding negative earnings.Peak-cycle earnings can look unsustainably cheap; exclusions change the universe.
Enterprise multipleEnterprise valuationCompares enterprise value with an operating measure.Near-zero or negative denominators and debt/cash definitions can destabilise ranks.
Net payout yieldShareholder payoutCombines dividends and net repurchases relative to equity value.Repurchase timing, issuance and financing cycles affect the signal.
Composite valueMultiple valuation ratiosCombines ranks from book, earnings or cash-flow yields.Correlated inputs, missing values and scaling can dominate the result.
International valueCross-market extensionApplies relative valuation to country equities, currencies or commodities.Accounting, market rules, FX and sampling frequencies differ.
Buy/hold spreadTurnover controlUses a wider holding threshold and sells only after a material rank deterioration.Lower turnover can delay exiting a firm whose fundamentals have worsened.

Use statements only after their public release. These are representative implementations, not a full dictionary of all 39 catalogue signals.

Read beyond the summary

References

Primary sources and research used to describe the strategy and its limits.

  1. 01Fama & French (1992), The Cross-Section of Expected Stock Returns.research
  2. 02Lakonishok, Shleifer & Vishny (1994), Contrarian Investment, Extrapolation, and Risk.research
  3. 03Novy-Marx & Velikov (2016), A Taxonomy of Anomalies and Their Trading Costs.research
  4. 04Chen & Zimmermann, Open Source Cross-Sectional Asset Pricing.dataset
  5. 05Kakushadze & Serur (2018), 151 Trading Strategies, §3.3.source