2007-2009年和2014-2015年的基本面、非基本面和油价变化

Afshin Javan, C. Vallejo
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引用次数: 2

摘要

过去15年油价的快速上涨,以及2008年和2014年的大幅下跌,促使人们重新思考供求关系是唯一决定价格的因素。据观察,在过去十年中,大型金融机构、对冲基金、指数基金和其他投资基金在期货市场投资了数十亿美元,受益于油价的变化。我们考虑了纽约商品交易所每个交易者类别的净多头头寸,通过向量误差修正模型(VECM)来估计每个类别对油价和波动性的影响。同样,我们还考虑了1993年至2015年的季度世界石油需求、供应、库存和工业生产。结果表明,基本变量与石油价格有着强烈而持久的关系。与基本变量不同,非基本变量会很快变得稳定,并在油价涨跌时以不同的方式做出反应。结果表明,2008年价格上涨的主要因素是需求高于预期。对于2014年的下跌,VECM显示供应是背后的主要力量。这些非基本面变量加在一起,可以解释2008-2009年间近11%的价格波动。然而,在2014-2015年期间,非基本面因素合计仅解释了5%。尽管非基本面因素对波动性有很大影响,但它们在油价变化中所占的份额很低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fundamentals, Non‐Fundamentals and the Oil Price Changes in 2007–2009 and 2014–2015
The fast increase in oil prices in the past 15 years and the spectacular fall in 2008 and in 2014 has led to the rethinking of supply and demand as the only determinant price. It has been observed in the last decade that large financial institutions, hedge funds, index funds and other investment funds invest billions of dollars in the futures market benefiting from the changes in oil prices. We considered the net long position of each trader category in the New York Mercantile Exchange to estimate, through the Vector Error Correction Model (VECM), the impact of each category on oil price and on volatility. Similarly, we also consider quarterly world oil demand, supply, inventories and industrial production from 1993 and 2015. The results show that fundamental variables have a strong and long‐lasting relationship with oil price. Unlike the fundamental variables, the non‐fundamental variables very quickly became stable and react in a different way when the prices of oil rise and fall. The results show that the main factor for the increase of the price in 2008 was the higher than expected demand. For the 2014 decline the VECM shows that supply is the main force behind it. The non‐fundamental variables together can explain almost 11 per cent of the variations of the price in 2008–2009. However, for the 2014–2015 period, the non‐fundamental combined explained only 5 per cent. The non‐fundamental have low share in the changes in oil price despite having a strong effect on volatility.
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