Paper Overview
- Research area: Machine Learning
- Authors: Marcin Kostrzewa, Sebastian Tomczak, Roman Furman
- Published: 2025-05-09
- arXiv: 2505.07227
- Scale: 1M+ company-year records vs. 6K–80K in existing free benchmarks
- Coverage: Four V4 economies over 16 years (2006–2021)
- Task realism: Severe class imbalance and multi-horizon forecasting
- Openness: Freely available, unlike larger paywalled alternatives
Abstract
Corporate bankruptcy prediction is a high-stakes financial task characterized by severe class imbalance and multi-horizon forecasting demands. Public datasets supporting it remain scarce and small: widely used free benchmarks contain between 6,000 and 80,000 company-year observations, while larger resources are behind subscription paywalls.
To address this gap, the authors introduce V4FinBench, a benchmark of over one million company-year records from the Visegrád Group (V4) economies (2006–2021). The dataset is built to evaluate a broad range of model families—including tabular foundation models, large language models (LLMs), and standard machine learning methods—on realistic bankruptcy prediction tasks at unprecedented scale for a free, public resource.
Why It Matters
*Auto-collected on 2026-05-13*