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Long-horizon predictions of credit default with inconsistent customers*

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Date of Publication:2024-03-29

Journal:TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Volume:198

ISSN No.:0040-1625

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

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