金融波动与经济活动

IF 2.2 3区 经济学 Q2 BUSINESS, FINANCE
F. Fornari, A. Melé
{"title":"金融波动与经济活动","authors":"F. Fornari, A. Melé","doi":"10.2139/ssrn.1501168","DOIUrl":null,"url":null,"abstract":"Does capital markets uncertainty affect the business cycle? We find that financial volatility predicts 30% of post-war economic activity in the United States, and that during the Great Moderation, aggregate stock market volatility explains, alone, up to 55% of real growth. In out-of-sample tests, we find that stock volatility helps predict turning points over and above traditional financial variables such as credit or term spreads, and other leading indicators. Combining stock volatility and the term spread leads to a proxy for (i) aggregate risk, (ii) risk-premiums and (iii) monetary policy, which is found to track, and anticipate, the business cycle. At the heart of our analysis is a notion of volatility based on a slowly changing measure of return variability. This volatility is designed to capture long-run uncertainty in capital markets, and is particularly successful at explaining trends in the economic activity at horizons of six months and one year.","PeriodicalId":47599,"journal":{"name":"European Journal of Finance","volume":"71 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"79","resultStr":"{\"title\":\"Financial Volatility and Economic Activity\",\"authors\":\"F. Fornari, A. Melé\",\"doi\":\"10.2139/ssrn.1501168\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Does capital markets uncertainty affect the business cycle? We find that financial volatility predicts 30% of post-war economic activity in the United States, and that during the Great Moderation, aggregate stock market volatility explains, alone, up to 55% of real growth. In out-of-sample tests, we find that stock volatility helps predict turning points over and above traditional financial variables such as credit or term spreads, and other leading indicators. Combining stock volatility and the term spread leads to a proxy for (i) aggregate risk, (ii) risk-premiums and (iii) monetary policy, which is found to track, and anticipate, the business cycle. At the heart of our analysis is a notion of volatility based on a slowly changing measure of return variability. This volatility is designed to capture long-run uncertainty in capital markets, and is particularly successful at explaining trends in the economic activity at horizons of six months and one year.\",\"PeriodicalId\":47599,\"journal\":{\"name\":\"European Journal of Finance\",\"volume\":\"71 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2009-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"79\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1501168\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Finance","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.2139/ssrn.1501168","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 79

摘要

资本市场的不确定性会影响商业周期吗?我们发现,金融波动预测了美国战后30%的经济活动,而在大缓和时期,仅股市总波动就解释了高达55%的实际增长。在样本外测试中,我们发现股票波动有助于预测拐点,而不是传统的金融变量,如信贷或期限价差,以及其他领先指标。将股票波动率和期限价差结合起来,可以得出(i)总风险、(ii)风险溢价和(iii)货币政策的代理,该代理可以跟踪和预测商业周期。我们分析的核心是基于缓慢变化的回报变异性度量的波动率概念。这种波动性旨在捕捉资本市场的长期不确定性,在解释6个月和1年的经济活动趋势方面尤其成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Financial Volatility and Economic Activity
Does capital markets uncertainty affect the business cycle? We find that financial volatility predicts 30% of post-war economic activity in the United States, and that during the Great Moderation, aggregate stock market volatility explains, alone, up to 55% of real growth. In out-of-sample tests, we find that stock volatility helps predict turning points over and above traditional financial variables such as credit or term spreads, and other leading indicators. Combining stock volatility and the term spread leads to a proxy for (i) aggregate risk, (ii) risk-premiums and (iii) monetary policy, which is found to track, and anticipate, the business cycle. At the heart of our analysis is a notion of volatility based on a slowly changing measure of return variability. This volatility is designed to capture long-run uncertainty in capital markets, and is particularly successful at explaining trends in the economic activity at horizons of six months and one year.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
European Journal of Finance
European Journal of Finance BUSINESS, FINANCE-
CiteScore
5.40
自引率
8.00%
发文量
72
期刊介绍: The European Journal of Finance publishes a full range of research into theoretical and empirical topics in finance. The emphasis is on issues that reflect European interests and concerns. The journal aims to publish work that is motivated by significant issues in the theory or practice of finance. The journal promotes communication between finance academics and practitioners by providing a vehicle for the publication of research into European issues, stimulating research in finance within Europe, encouraging the international exchange of ideas, theories and the practical application of methodologies and playing a positive role in the development of the infrastructure for finance research.
×
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