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Efficient predictability of oil price: The role of VIX-based panic index shadow line difference

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成果类型:
期刊论文
作者:
Dai, Zhifeng;Zhang, Xiaotong;Liang, Chao
通讯作者:
Liang, C
作者机构:
[Dai, Zhifeng; Zhang, Xiaotong] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China.
[Dai, Zhifeng; Zhang, Xiaotong] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha, Hunan, Peoples R China.
[Liang, Chao] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China.
通讯机构:
[Liang, C ] S
Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China.
语种:
英文
关键词:
Investor panic index;Oil price predictability;Out -of -sample predictions;Asset allocation
期刊:
Energy Economics
ISSN:
0140-9883
年:
2024
卷:
129
页码:
107234
基金类别:
CRediT authorship contribution statement Zhifeng Dai: Conceptualization, Data curation, Formal analysis, acquisition, Investigation, Methodology, Writing – original draft, Writing – review & editing. Xiaotong Zhang: Data curation, Methodology, Project administration, Software, Validation, Writing – original draft, Writing – review & editing. Chao Liang: acquisition, Investigation, Project administration, Supervision, Visualization, Writing – review & editing.
机构署名:
本校为第一机构
院系归属:
经济与管理学院
数学与统计学院
摘要:
This paper shows that the panic index shadow line difference (ULD) can be an effective predictor of oil returns. We use a candlestick chart to plot the investor panic index (VIX) and subtract the lower shadow from the upper shadow to obtain ULD. The in-sample analysis shows that the ULD can significantly and negatively predict oil returns. The out-of-sample results show that the inclusion of ULD, an exogenous regression variable, in the model not only substantially improves the predictive accuracy of oil returns, but also yields good economic benefits when using its predicted values for portfo...

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