{"title":"收益率曲线做出了反击:这是其预测经济活动和通胀能力的新证据","authors":"Olga Klinkowska, Olha Zadorozhna","doi":"10.1016/j.irfa.2026.105128","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we investigate the informational content of the yield curve for future economic activity and inflation across 40 countries over 2010–2021. We examine developed, Central and Eastern European (CEE),and emerging markets, grouping countries based on their monetary policy credibility and economic stability. First, we extract unobservable yield curve factors (level, slope, and curvature) for each country from its sovereign curve. We then incorporate the estimated slope and curvature into predictive regressions for economic growth and inflation using panel regressions. Finally, as a key innovation, we evaluate the out-of-sample forecasting accuracy of slope and curvature using novel panel forecasting techniques and econometric tests. Our empirical results show that slope and curvature contain predictive power for economic growth in CEE and developed countries. In emerging markets, yield curve factors shape expectations about future growth and inflation, but their out-of-sample forecasting performance remains limited. We further find that the strength of these predictive relationships depends critically on monetary policy credibility, with slope and curvature being more informative for future growth in countries where monetary policy credibility is lower. By contrast, economic stability does not materially affect forecasting performance. Finally, yield curve factors provide only limited and unstable signals for forecasting inflation.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"113 ","pages":"Article 105128"},"PeriodicalIF":9.8000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The yield curve strikes back: New evidence of its predictive power for economic activity and inflation\",\"authors\":\"Olga Klinkowska, Olha Zadorozhna\",\"doi\":\"10.1016/j.irfa.2026.105128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this paper, we investigate the informational content of the yield curve for future economic activity and inflation across 40 countries over 2010–2021. We examine developed, Central and Eastern European (CEE),and emerging markets, grouping countries based on their monetary policy credibility and economic stability. First, we extract unobservable yield curve factors (level, slope, and curvature) for each country from its sovereign curve. We then incorporate the estimated slope and curvature into predictive regressions for economic growth and inflation using panel regressions. Finally, as a key innovation, we evaluate the out-of-sample forecasting accuracy of slope and curvature using novel panel forecasting techniques and econometric tests. Our empirical results show that slope and curvature contain predictive power for economic growth in CEE and developed countries. In emerging markets, yield curve factors shape expectations about future growth and inflation, but their out-of-sample forecasting performance remains limited. We further find that the strength of these predictive relationships depends critically on monetary policy credibility, with slope and curvature being more informative for future growth in countries where monetary policy credibility is lower. By contrast, economic stability does not materially affect forecasting performance. Finally, yield curve factors provide only limited and unstable signals for forecasting inflation.</div></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":\"113 \",\"pages\":\"Article 105128\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2026-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Financial Analysis\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1057521926000554\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2026/2/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521926000554","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
The yield curve strikes back: New evidence of its predictive power for economic activity and inflation
In this paper, we investigate the informational content of the yield curve for future economic activity and inflation across 40 countries over 2010–2021. We examine developed, Central and Eastern European (CEE),and emerging markets, grouping countries based on their monetary policy credibility and economic stability. First, we extract unobservable yield curve factors (level, slope, and curvature) for each country from its sovereign curve. We then incorporate the estimated slope and curvature into predictive regressions for economic growth and inflation using panel regressions. Finally, as a key innovation, we evaluate the out-of-sample forecasting accuracy of slope and curvature using novel panel forecasting techniques and econometric tests. Our empirical results show that slope and curvature contain predictive power for economic growth in CEE and developed countries. In emerging markets, yield curve factors shape expectations about future growth and inflation, but their out-of-sample forecasting performance remains limited. We further find that the strength of these predictive relationships depends critically on monetary policy credibility, with slope and curvature being more informative for future growth in countries where monetary policy credibility is lower. By contrast, economic stability does not materially affect forecasting performance. Finally, yield curve factors provide only limited and unstable signals for forecasting inflation.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.