Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?

2017 ◽  
Vol 68 ◽  
pp. 141-150 ◽  
Author(s):  
Yu Wei ◽  
Jing Liu ◽  
Xiaodong Lai ◽  
Yang Hu
2017 ◽  
Vol 67 ◽  
pp. 508-519 ◽  
Author(s):  
Amélie Charles ◽  
Olivier Darné

2019 ◽  
Vol 52 (27) ◽  
pp. 2945-2959 ◽  
Author(s):  
Chao Liang ◽  
Yu Wei ◽  
Xiafei Li ◽  
Xuhui Zhang ◽  
Yifeng Zhang

2010 ◽  
Vol 32 (6) ◽  
pp. 1477-1484 ◽  
Author(s):  
Yu Wei ◽  
Yudong Wang ◽  
Dengshi Huang

2018 ◽  
Vol 44 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Houda BenMabrouk

Purpose The purpose of this paper is to investigate herding behavior around the crude oil market and the stock market and the possible cross-herding behavior between the two markets. The analysis examines also the herding behavior during financial turmoil and includes the investor sentiment and market volatility. Design/methodology/approach The authors use a modified version of the cross-sectional standard deviation and the cross-sectional absolute deviation to include investor sentiment, financial crisis and market volatility. Findings The authors find that the volatility of the stock market reduces the herding behavior around the oil market and boosts that around the stock market. However, the investors’ sentiment reduces the herding around the stock market and boosts that around the crude oil market. Consequently, the authors can conclude that the herding behavior around the two markets moves inversely and the herding in each market is enhanced by the lack of information in the other market. Research limitations/implications This paper is limited to the herding of stocks around the crude oil market and ignores the possible herding of commodities around the oil market. Originality/value The originality of the paper rests on the study of the possible cross-herding behavior between the oil market and the stock market especially during financial turmoil.


Author(s):  
Xiafei Li ◽  
Yu Wei ◽  
Xiaodan Chen ◽  
Feng Ma ◽  
Chao Liang ◽  
...  

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