The Effect of Volatility Index on Turkish and European Stock Indices

Gökhan Berk Özbek
{"title":"The Effect of Volatility Index on Turkish and European Stock Indices","authors":"Gökhan Berk Özbek","doi":"10.36880/c15.02767","DOIUrl":null,"url":null,"abstract":"In times of high uncertainty, it is usual for investors to be cautious about the capital markets and turn to investment instruments that are considered a security blanket. This situation may adversely affect the capital markets and the real sector. In this context, it is aimed to investigate the effect of the Volatility Index (VIX), also known as Fear Index, on some European stock markets. In the study, five different models were created in which the independent variable is VIX and the dependent variables are FTSE 100, DAX, CAC 40, BIST 30 and BIST Participation 30. Including the BIST Participation 30 Index in the study; it is also desired to determine whether there is a difference in the context of the conventional index-Islamic Index. In the study, a weekly data set including 76 observations was used in the period of 12.11.2021-28.04.2023. Data were obtained from Refinitiv Eikon. The long-term relationship of the variables was examined with the Engle-Granger Cointegration Test. Cointegration relationships were determined between VIX and FTSE 100; it was specified that there is no cointegrated relationships between VIX and BIST 30, BIST Participation 30, DAX and CAC 40. Fully Modified Ordinary Least Squares (FMOLS) method was used to estimate the coefficients of the relationship between the variables whose cointegration relationship was determined. Consistent with the literature, it was determined that VIX had negative effect on the FTSE 100. In this context, investors can use the VIX indicator to provide foresight in their investments in the FTSE 100.","PeriodicalId":486868,"journal":{"name":"Uluslararası Avrasya ekonomileri konferansı","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Uluslararası Avrasya ekonomileri konferansı","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36880/c15.02767","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In times of high uncertainty, it is usual for investors to be cautious about the capital markets and turn to investment instruments that are considered a security blanket. This situation may adversely affect the capital markets and the real sector. In this context, it is aimed to investigate the effect of the Volatility Index (VIX), also known as Fear Index, on some European stock markets. In the study, five different models were created in which the independent variable is VIX and the dependent variables are FTSE 100, DAX, CAC 40, BIST 30 and BIST Participation 30. Including the BIST Participation 30 Index in the study; it is also desired to determine whether there is a difference in the context of the conventional index-Islamic Index. In the study, a weekly data set including 76 observations was used in the period of 12.11.2021-28.04.2023. Data were obtained from Refinitiv Eikon. The long-term relationship of the variables was examined with the Engle-Granger Cointegration Test. Cointegration relationships were determined between VIX and FTSE 100; it was specified that there is no cointegrated relationships between VIX and BIST 30, BIST Participation 30, DAX and CAC 40. Fully Modified Ordinary Least Squares (FMOLS) method was used to estimate the coefficients of the relationship between the variables whose cointegration relationship was determined. Consistent with the literature, it was determined that VIX had negative effect on the FTSE 100. In this context, investors can use the VIX indicator to provide foresight in their investments in the FTSE 100.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
波动率指数对土耳其和欧洲股票指数的影响
在高度不确定的时期,投资者通常会对资本市场持谨慎态度,并转向被视为安全毯的投资工具。这种情况可能对资本市场和实体部门产生不利影响。在这种情况下,它的目的是调查波动率指数(VIX),也被称为恐惧指数,对一些欧洲股票市场的影响。在研究中,我们创建了五个不同的模型,其中自变量是VIX,因变量是FTSE 100, DAX, CAC 40, BIST 30和BIST Participation 30。将BIST参与30指数纳入研究;还希望确定在传统指数-伊斯兰指数-的情况下是否存在差异。在这项研究中,每周的数据集包括76个观测值,时间为12.11.2021-28.04.2023。数据来自Refinitiv Eikon。采用恩格尔-格兰杰协整检验检验各变量的长期关系。VIX指数与富时100指数之间存在协整关系;明确VIX与BIST 30、BIST Participation 30、DAX和CAC 40之间不存在协整关系。采用全修正普通最小二乘(FMOLS)方法对已确定协整关系的变量之间的关系系数进行估计。与文献一致,确定VIX对富时100指数有负影响。在这种情况下,投资者可以使用波动率指数为他们在富时100指数的投资提供远见。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Women Entrepreneurs Making a Difference in the Tourism Sector The Impact of Globalization on Female Employment: Econometric Evidence for the Selected Transition Countries Financial Methods To Promote International Industrial Cooperation Examination of the Relationship Between the Stock Market and Income Inequality by B-VAR Method Analysis of the Relationship between Consumer Confidence Index and Inflation in Türkiye
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1