Stock Market Volatility And Presidential Election Uncertainty: Evidence From Political Futures Markets

Q4 Business, Management and Accounting
David R. Bowes
{"title":"Stock Market Volatility And Presidential Election Uncertainty: Evidence From Political Futures Markets","authors":"David R. Bowes","doi":"10.19030/JABR.V34I1.10105","DOIUrl":null,"url":null,"abstract":"Uncertainty about the economy can increase volatility in financial market returns. One potential source of uncertainty is the outcome of an upcoming national election. This paper uses a GARCH model to estimate the effect of uncertainty surrounding U.S. Presidential elections on the volatility of U.S. stock market returns from 1992-2012. Uncertainty in these elections is measured using asset prices from the Iowa Electronic Market (IEM), an on-line futures market based on real-world events, including U.S. elections. The empirical results show that the conditional variance in S&P 500 returns increases when IEM presidential election futures market asset prices indicate greater uncertainty about the outcome of an upcoming election.","PeriodicalId":40064,"journal":{"name":"Journal of Applied Business Research","volume":"34 1","pages":"143-150"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Business Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19030/JABR.V34I1.10105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 10

Abstract

Uncertainty about the economy can increase volatility in financial market returns. One potential source of uncertainty is the outcome of an upcoming national election. This paper uses a GARCH model to estimate the effect of uncertainty surrounding U.S. Presidential elections on the volatility of U.S. stock market returns from 1992-2012. Uncertainty in these elections is measured using asset prices from the Iowa Electronic Market (IEM), an on-line futures market based on real-world events, including U.S. elections. The empirical results show that the conditional variance in S&P 500 returns increases when IEM presidential election futures market asset prices indicate greater uncertainty about the outcome of an upcoming election.
股市波动和总统选举的不确定性:来自政治期货市场的证据
经济的不确定性会增加金融市场回报的波动性。一个潜在的不确定性来源是即将到来的全国大选的结果。本文采用GARCH模型估计了1992-2012年美国总统大选的不确定性对美国股市收益波动率的影响。这些选举的不确定性是用爱荷华电子市场(IEM)的资产价格来衡量的,这是一个基于现实世界事件的在线期货市场,包括美国大选。实证结果表明,当IEM总统选举期货市场资产价格表明即将到来的选举结果的不确定性较大时,标准普尔500指数回报的条件方差增加。
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
Journal of Applied Business Research
Journal of Applied Business Research Business, Management and Accounting-Business and International Management
CiteScore
0.60
自引率
0.00%
发文量
0
期刊介绍: The Journal of Applied Business Research (JABR) welcomes articles in all areas of applied business and economics research. Both theoretical and applied manuscripts will be considered for publication; however, theoretical manuscripts must provide a clear link to important and interesting business and economics applications. Using a wide range of research methods including statistical analysis, analytical work, case studies, field research, and historical analysis, articles examine significant applied business and economics research questions from a broad range of perspectives. The intention of JABR is to publish papers that significantly contribute to these fields.
×
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