{"title":"Does the U.S. extreme indicator matter in stock markets? International evidence","authors":"Xiaozhen Jing, Dezhong Xu, Bin Li, Tarlok Singh","doi":"10.1186/s40854-024-00610-w","DOIUrl":null,"url":null,"abstract":"We propose a new predictor—the innovation in the daily return minimum in the U.S. stock market ( $$\\Delta {MIN}^{US}$$ )—for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI international stock markets during the period spanning over half a century from January 1972 to July 2022, we find that $$\\Delta {MIN}^{US}$$ have strong predictive power for returns in most international stock markets: $$\\Delta {MIN}^{US}$$ negatively predicts the next-month stock market returns. The results remain robust after controlling for a number of macroeconomic predictors and conducting subsample and panel data analyses, indicating that $$\\Delta {MIN}^{US}$$ has significant predictive power and it outperforms other variables in international markets. Notably, $$\\Delta {MIN}^{US}$$ demonstrates excellent predictive power even during the periods driven by financial upheavals (e.g., Global Financial Crisis and European Sovereign Debt Crisis). Both panel regressions and out-of-sample tests also support the robust predictive performance of $$\\Delta {MIN}^{US}$$ . The predictive power, however, disappears during the non-financial crisis caused by COVID-19 pandemic, which is originated from the health sector rather than the financial sector. The results provide a new perspective on U.S. extreme indicator in stock market return predictability.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Innovation","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1186/s40854-024-00610-w","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
We propose a new predictor—the innovation in the daily return minimum in the U.S. stock market ( $$\Delta {MIN}^{US}$$ )—for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI international stock markets during the period spanning over half a century from January 1972 to July 2022, we find that $$\Delta {MIN}^{US}$$ have strong predictive power for returns in most international stock markets: $$\Delta {MIN}^{US}$$ negatively predicts the next-month stock market returns. The results remain robust after controlling for a number of macroeconomic predictors and conducting subsample and panel data analyses, indicating that $$\Delta {MIN}^{US}$$ has significant predictive power and it outperforms other variables in international markets. Notably, $$\Delta {MIN}^{US}$$ demonstrates excellent predictive power even during the periods driven by financial upheavals (e.g., Global Financial Crisis and European Sovereign Debt Crisis). Both panel regressions and out-of-sample tests also support the robust predictive performance of $$\Delta {MIN}^{US}$$ . The predictive power, however, disappears during the non-financial crisis caused by COVID-19 pandemic, which is originated from the health sector rather than the financial sector. The results provide a new perspective on U.S. extreme indicator in stock market return predictability.
期刊介绍:
Financial Innovation (FIN), a Springer OA journal sponsored by Southwestern University of Finance and Economics, serves as a global academic platform for sharing research findings in all aspects of financial innovation during the electronic business era. It facilitates interactions among researchers, policymakers, and practitioners, focusing on new financial instruments, technologies, markets, and institutions. Emphasizing emerging financial products enabled by disruptive technologies, FIN publishes high-quality academic and practical papers. The journal is peer-reviewed, indexed in SSCI, Scopus, Google Scholar, CNKI, CQVIP, and more.