版权说明 操作指南
首页 > 成果 > 详情

Efficient predictability of stock return volatility: The role of stock market implied volatility

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Dai, Zhifeng;Zhou, Huiting;Wen, Fenghua*;He, Shaoyi
通讯作者:
Wen, Fenghua
作者机构:
[Zhou, Huiting; Dai, Zhifeng] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
[Wen, Fenghua] Cent South Univ, Coll Business, Changsha 410083, Hunan, Peoples R China.
[Wen, Fenghua] Univ Windsor, Fac Engn, Supply Chain & Logist Optimizat Res Ctr, Windsor, ON, Canada.
[He, Shaoyi] Calif State Univ San Bernardino, Jack H Brown Coll Business & Publ Adm, San Bernardino, CA 92407 USA.
[Wen, Fenghua] Anhui Polytech Univ, Sch Math & Phys, Wuhu 241000, Peoples R China.
通讯机构:
[Wen, Fenghua] A
Anhui Polytech Univ, Sch Math & Phys, Wuhu 241000, Peoples R China.
语种:
英文
关键词:
Stock volatility;Stock market implied volatility;Predictive regression;Out-of-sample performance
期刊:
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE
ISSN:
1062-9408
年:
2020
卷:
52
页码:
101174
基金类别:
The authors are grateful to the editor and anonymous referees for insightful comments that significantly improved the paper. This work is supported by the National Natural Science Foundation of China granted [ 71771030 , 71873146 , 71873147 , 11301041 ], Scientific Research Fund of Hunan Provincial Education Department granted [ 19A007 ].
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
This study examines the predictability of stock market implied volatility on stock volatility in five developed economies (the US, Japan, Germany, France, and the UK) using monthly volatility data for the period 2000 to 2017. We utilize a simple linear autoregressive model to capture predictive relationships between stock market implied volatility and stock volatility. Our in-sample results show there exists very significant Granger causality from stock market implied volatility to stock volatility. The out-of-sample results also indicate that ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com