聚焦欧洲央行-违约学习概率与压力测试(英)-2026。This paper thus fills a gap in current central-bank and supervisory practice, where ML is largely absent from stress-testing toolkits. By connecting ML, stress testing and network analysis in a single framework, we show that RF can be a valuable tool for stress tests, not just for improving forecasts.
聚焦欧洲央行-违约学习概率与压力测试(英)-2026。This paper thus fills a gap in current central-bank and supervisory practice, where ML is largely absent from stress-testing toolkits. By connecting ML, stress testing and network analysis in a single framework, we show that RF can be a valuable tool for stress tests, not just for improving forecasts.
聚焦欧洲央行-违约学习概率与压力测试(英)-2026。This paper thus fills a gap in current central-bank and supervisory practice, where ML is largely absent from stress-testing toolkits. By connecting ML, stress testing and network analysis in a single framework, we show that RF can be a valuable tool for stress tests, not just for improving forecasts.
覆盖 2026 年,全文共 49 页。
本报告为付费报告,可在资料宝站内下单后获取完整内容。
重点分析了欧洲央行、违约学习概率与压力测试等议题。