Multi-period credit default prediction with time-varying covariates

► We propose parsimonious models for multi‐period credit default predictions. ► We use a modified hazard model approach. ► We apply the models to North American public firms. ► Out‐of‐sample tests reveal high predictive accuracy. ► A log‐logistic hazard model specification performs best.