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System analysis approach for the identification of factors driving crude oil prices

机译:确定原油价格上涨因素的系统分析方法

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摘要

A system analysis approach is proposed to identify the main factors driving international crude oil prices by integrating a partial least squares model, an vector error correction model and the directed acyclic graph method. The different mechanisms driving international crude oil prices during the oil price falling and rising periods are analyzed in three aspects: contemporaneous information transmission mechanism, explanatory power of factors for oil price trend and their contributions to the oil price volatility. The results show that the original mechanism of crude oil markets is destroyed by the 2008 financial crisis and the contemporaneous causality between oil price and various factors are significantly strengthened after crisis. Before the crisis, speculation was the main factor boosting oil price volatility in the contemporaneous and short run, while fundamental factors played important roles in the long run. After the crisis, spillover effect among different markets exhibits more obvious. Stock market, exchange rate market and commodity market make greater contribution, while US dollar index is the main factor affecting oil price volatility in the short and long run.
机译:提出了一种系统分析方法,通过整合偏最小二乘模型,矢量误差校正模型和有向无环图方法来识别驱动国际原油价格的主要因素。从油价下跌和上涨期间的国际信息价格驱动机制分析了三个方面:同期信息传递机制,油价趋势因素的解释力及其对油价波动的影响。结果表明,2008年金融危机破坏了原油市场的原始机制,危机后原油价格与各种因素的同时因果关系得到了显着增强。危机之前,投机是同时期和短期内加剧油价波动的主要因素,而从长远来看,基本因素起着重要作用。危机过后,不同市场之间的溢出效应更加明显。股票市场,汇率市场和商品市场的贡献更大,而美元指数是短期和长期内影响油价波动的主要因素。

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