This work examines how the dependence structures between energy futures asset prices differ in two periods identified before and after the 2008 global financial crisis. These two periods were characterised by a difference in the number of extraordinary meetings of OPEC countries organised to announce a change of oil production. In the period immediately following the global financial crisis, the decrease in oil prices and oil and gas demand forced OPEC countries to make frequent adjustments to the production of oil, while, since the first quarter of 2010, the recovery led to more regular meetings, with only three organised extraordinary meetings. We propose to use a copula model to study how the dependence structure among energy prices changed among the two periods. The use of copula models allows to introduce flexible and realistic models for the marginal time series; once marginal parameters are estimated, the estimates are used to fit several copula models for all asset combinations. Model selection techniques based on information criteria are implemented to choose the best models both for the univariate asset prices series and for the distribution of co-movements. The changes in the dependence structure of couple of assets are investigated through copula functionals and their uncertainty estimated through a bootstrapping method. We find the strength of dependence between asset combinations considerably differ between the two periods, showing a significant decrease for all the pairs of assets.
翻译:本研究探討能源期貨資產價格之間的相依結構,在標明全球金融危機之前和之後的兩個時期有所不同。這兩個時期的特點是在OPEC成員國組織進行宣布石油生產變化的突發會議的數量上有所不同。在全球金融危機之後的時期,油價和油氣需求的下降迫使OPEC國家不斷調整油的產量,而在2010年第一季度之後,全球經濟恢復,OPEC國家只組織了三次非常會議。本文提出使用複合函數模型來研究能源價格之間的相依結構在這兩個時期內如何變化。使用複合函數模型可以引入灵活且现实的边际时间序列模型;一旦估计了边际参数,这些估计值就用于拟合所有资产组合的多种複合模型。利用基于信息准则的模型选择技术来选择最佳的单变量资产价格系列模型和共变分布模型。通过複合函数和插值方法来研究资产组合之间相依结构的变化以及来估计其不确定性。本文发现在这两个时期间的所有资产配对之间的相关强度都明显下降。