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Long-horizon predictions of credit default with inconsistent customers*

Release Time:2024-03-30  Hits:

Date of Publication: 2024-03-29

Journal: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Volume: 198

ISSN: 0040-1625

Key Words: EMPIRICAL-EVIDENCE; FEATURE-SELECTION; FINANCIAL DISTRESS; GENETIC ALGORITHM; INSTANCE SELECTION; MODEL; RATINGS; RATIOS; REGRESSION; RISK

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