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Stockinsky

Valuation model library · Understand the method and its limits

Classic investor frameworks · Screening and validation

Altman · Z-Score bankruptcy prediction

Uses a weighted discriminant of five financial ratios to estimate the probability of financial distress within about two years, adding a bankruptcy-risk veto layer to deep-value conclusions.

Guide level
Practical
Output
Screening and validation
What question does this model answer?Do the balance sheet and earnings point to a high risk of financial distress within about two years?

Core formula

Z = 1.2·X₁ + 1.4·X₂ + 3.3·X₃ + 0.6·X₄ + 1.0·X₅ (working capital, retained earnings, EBIT, market equity, sales — all over total assets or liabilities)

How to interpret it

Uses a weighted discriminant of five financial ratios to estimate the probability of financial distress within about two years, adding a bankruptcy-risk veto layer to deep-value conclusions.

The output should be read as a scenario or decision aid, not as a guaranteed price target. Compare it with at least one method based on different economic assumptions.

Practical workflow

  1. Normalize the latest public financial and operating data.
  2. Choose assumptions that match the company's economics and accounting structure.
  3. Calculate conservative, base and optimistic cases where the method permits.
  4. Compare the result with market pricing and an independent valuation method.
  5. Document the assumptions that drive the largest changes in value.

Key limitation

Not applicable to financials, biased low for asset-light firms, and a zone signal rather than a precise probability.

How Stockinsky uses it

Stockinsky uses this framework only when the company type and available data support it. Professional valuations expose assumptions, sources and warnings instead of presenting false precision.

References

Valuation outputs depend on public data and explicit assumptions. They cannot guarantee forecast accuracy and are not investment advice.