Machine Learning Models for Corporate Insolvency Research

DistressSignal is an academic research portal that publishes machine learning default probability estimates and financial analysis based on public SEC corporate filings.

Latest Distress Reports

CVNA Released: 2026-06-01
CRITICAL (44.8)

Carvana — 2022 Case Study

In late 2022, Carvana's debt-fueled growth faced rising interest rates, resulting in a leverage ratio of 94.1% and a danger score of 44.8. The model flagged a default probability of 38%.

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HTZ Released: 2026-05-01
CRITICAL (41.6)

Hertz — A Retrospective

Hertz carried a leverage ratio of 92.3% and near-zero return on assets in FY2019. The model assigned a danger score of 41.6. Hertz filed Chapter 11 in May 2020, twelve months later.

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Algorithm Status

Model Engine:
LightGBM v3.3
Coverage:
US Public Equities (>$250M)
Historical Accuracy:
91.4% (ROC-AUC)
Update Frequency:
Weekly (Saturdays)

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