Skip to main content
Strategy Learning Hub

Strategy #0000000055 · Cross-sectional equity distress risk

Healthy-minus-distressed equity factor
Build a healthy-minus-distressed long-short basket from default-risk signals and inspect market-state exposure.

The distress-risk puzzle describes evidence that high-default-probability stocks can have lower, not higher, average returns in some samples. A healthy-minus-distressed factor estimates distress scores from accounting and market variables, then buys healthier firms and shorts more distressed ones. It is a sample- and model-dependent empirical anomaly with industry, liquidity, leverage and market-beta exposures, not a risk-free reversal trade.

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

How do beta hedging and costs change a low-distress long/high-distress short scenario?

Jack buys a low-distress basket and shorts high-distress names, entering assumed returns and weights for each leg.

Rose adds portfolio beta, a market-return scenario and hedge fraction to see how direction exposure offsets factor returns. This remains an assumed portfolio scenario, not a default model.

After market declines, beta may turn negative; rebounds can squeeze short distressed names. Filing availability, delisting returns, halts and trading costs also affect empirical results.

  • Healthy basket return assumptionEnter healthy/distressed basket returns, weights, portfolio beta, market scenario and hedge fraction, less costs.
  • Distressed short basket underlying returnNo point-in-time filings, delisting treatment, probability calibration, actual holdings or stock-borrow costs.
  • HMD after beta overlay and costsIllustrative expiry outcome.

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

Variants · same family, different risk levers

Related strategies can have different exposures and failure modes.

Compare the mechanism and its limits.

Related strategyRelationshipWhat changesNew cost or risk
O-score / failure probabilityAccounting and market signalsUses modeled default probabilities for portfolio ranks.Data lag and calibration drift.
Z-score rankFinancial ratiosSorts by a financial-distress distance score.Industry norms and private-company differences.
Risk-managed HMDMarket-beta overlayReduces market exposure in drawdown/rebound states.Delayed regime detection and hedge costs.

No point-in-time filings, delisting treatment, probability calibration, actual holdings or stock-borrow costs.

Read beyond the summary

References

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

  1. 01Campbell, Hilscher & Szilagyi (2011), Tracking Down Distress Riskresearch
  2. 02Methodology and assumptionsprimary