World Uncertainty Indices, Financial Markets, and U.S. GDP Growth

Q4 Economics, Econometrics and Finance
Ujjal Chatterjee
{"title":"World Uncertainty Indices, Financial Markets, and U.S. GDP Growth","authors":"Ujjal Chatterjee","doi":"10.33423/jaf.v23i4.6447","DOIUrl":null,"url":null,"abstract":"We investigate whether the world uncertainty indices (Ahir et al. 2022) derived from the Economist Intelligence Unit (EIU) country reports provide superior forecasting ability for U.S. GDP growth in comparison to stock and bond market indicators. Our hypothesis is that if there is a report of uncertainty in the press, equity and bond traders are likely to be aware of it, and the trading data for securities may reflect this uncertainty. We use different indicators, such as corporate bond credit spreads measured from unsecured corporate bond trading data, to forecast U.S. GDP growth. During the 1990-2022 sample period, we find that U.S. stock market returns predict U.S. GDP growth more accurately than the world uncertainty indices. Excluding the Covid-19 period, we find that U.S. corporate bond credit-spreads and stock market returns exhibit superior forecasting performance compared to the world uncertainty indices. These results underscore the significance of financial market indicators in comparison to EIU reports for assessing the future state of the U.S. economy.","PeriodicalId":36300,"journal":{"name":"Universal Journal of Accounting and Finance","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Universal Journal of Accounting and Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33423/jaf.v23i4.6447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

We investigate whether the world uncertainty indices (Ahir et al. 2022) derived from the Economist Intelligence Unit (EIU) country reports provide superior forecasting ability for U.S. GDP growth in comparison to stock and bond market indicators. Our hypothesis is that if there is a report of uncertainty in the press, equity and bond traders are likely to be aware of it, and the trading data for securities may reflect this uncertainty. We use different indicators, such as corporate bond credit spreads measured from unsecured corporate bond trading data, to forecast U.S. GDP growth. During the 1990-2022 sample period, we find that U.S. stock market returns predict U.S. GDP growth more accurately than the world uncertainty indices. Excluding the Covid-19 period, we find that U.S. corporate bond credit-spreads and stock market returns exhibit superior forecasting performance compared to the world uncertainty indices. These results underscore the significance of financial market indicators in comparison to EIU reports for assessing the future state of the U.S. economy.
世界不确定性指数、金融市场和美国GDP增长
我们调查了来自经济学人智库(EIU)国家报告的世界不确定性指数(Ahir et al. 2022)与股票和债券市场指标相比,是否对美国GDP增长提供了更好的预测能力。我们的假设是,如果媒体上有不确定性的报道,股票和债券交易者可能会意识到这一点,而证券的交易数据可能会反映这种不确定性。我们使用不同的指标,例如根据无担保公司债券交易数据衡量的公司债券信用利差,来预测美国的GDP增长。在1990-2022年的样本期内,我们发现美国股市回报比世界不确定性指数更准确地预测美国GDP增长。排除Covid-19时期,我们发现美国公司债券信用差和预测股市回报表现出优越的性能相比,世界不确定性指标。这些结果强调金融市场指标的重要性相比,EIU报告评估美国经济的未来状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Universal Journal of Accounting and Finance
Universal Journal of Accounting and Finance Economics, Econometrics and Finance-Finance
自引率
0.00%
发文量
92
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信