Long-horizon predictions of credit default with inconsistent customers*
Release Time:2024-03-30 Hits:
Indexed by: Journal Papers
Document Code: 385054
Date of Publication: 2024-01-18
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