"De-financialization" of commodities? Evidence from stock, crude oil and natural gas markets

被引:110
作者
Zhang, Yue-Jun [1 ,2 ]
Chevallier, Julien [3 ,4 ]
Guesmi, Khaled [3 ]
机构
[1] Hunan Univ, Business Sch, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Ctr Resource & Environm Management, Changsha 410082, Hunan, Peoples R China
[3] IPAG Business Sch, IPAG Lab, 184 Blvd St Germain, F-75006 Paris, France
[4] Univ Paris 08, LED, 2 Rue Liberte, F-93526 St Denis, France
基金
中国国家自然科学基金;
关键词
Financialization of commodities; Stock market volatility; VIX; VSTOXX; Crude oil; Natural gas; VOLATILITY; RETURNS; PRICE; MODEL; RISK; FUTURES; CRISIS; ASSET;
D O I
10.1016/j.eneco.2017.09.024
中图分类号
F [经济];
学科分类号
02 ;
摘要
In order to investigate whether the crude oil and natural gas market volatility is influenced by the volatility in the stock market or whether these different variables move all together, we introduce the Volatility Threshold Dynamic Conditional Correlations (VT-DCC) approach to investigate the spillover effect of stock market volatility index (VIX, VSTOXX) on crude oil and natural gas markets during 1999-2015, and make the correlation dynamics dependent on conditional variance values through a threshold grid search algorithm. By detecting one endogenous break point in the raw series, we identify two clusters: one in 2008 and another in 2014, due to the financial crisis and the structural low oil prices linked to changing fundamentals, respectively. Also, the U.S. Henry Hub gas seems to be associated with the stock market volatility indexes, contrary to the European NBP gas, which is linked to the Brent. Besides, regarding the volatility behaviors of our series, the four energy variables violate their thresholds at similar moments, and the stock market VIX and VSTOXX exhibit logically similarities. Co-movements are detectable as well between the VIX and crude oil series, when investigating the volatility extracted from the GARCH model. In addition, the Block-DCC estimates provide ample evidence of similarities in the correlation dynamics between the crude oil and stock volatility series. It should be noted that the modeling framework proposed in this paper represents a useful tool for the study of cross-market contagion. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:228 / 239
页数:12
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