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Assessing efficiency and investment opportunities in commodities: A time series and portfolio simulations approach

机译:评估商品的效率和投资机会:时间序列和投资组合模拟方法

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This paper investigates the informational efficiency hypothesis in the short and long term for four major commodity markets (oil, gas, electricity, and coal) from January 1997 to January 2016. Unlike previous studies, we provide a more concise comparative analysis by focusing on different classes of commodities for a large sample, including 5 developed and 3 emerging regions and covering 46 countries. We apply different parametric and non-parametric econometric tests. Our study provides two interesting findings. First, we show that commodity markets are informationally inefficient in the short term. Our portfolio simulations highlight that commodities might provide "good" investment opportunities, but those opportunities vary according to commodity class and regions. Second, we show that most commodity markets become informationally efficient in the long term, thereby reducing investors' interest for the duration. Thus, commodity markets might be used to hedge investor's portfolios, particularly for speculators and chartists in the short term, while these investments might not be appealing in these markets in the long term.
机译:本文研究了1997年1月至2016年1月四个主要商品市场(石油,天然气,电力和煤炭)的短期和长期信息效率假设。与以往的研究不同,我们通过关注于不同的领域来提供更简洁的比较分析。大样本商品类别,包括5个发达地区和3个新兴地区,覆盖46个国家。我们应用不同的参数和非参数计量经济检验。我们的研究提供了两个有趣的发现。首先,我们表明商品市场在短期内信息效率低下。我们的投资组合模拟结果表明,商品可能会提供“良好”的投资机会,但这些机会会因商品类别和地区而异。其次,我们表明,大多数商品市场从长期来看会提高信息效率,从而在整个持续时间内降低投资者的兴趣。因此,商品市场可能在短期内被用来对冲投资者的投资组合,特别是对于投机者和图表绘制者,而从长远来看,这些投资可能对这些市场没有吸引力。

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