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The heterogeneous dependence between global crude oil and Chinese commodity futures markets: evidence from quantile regression

机译:全球原油与中国商品期货市场之间的异质依赖:分位数回归的证据

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摘要

This paper explores the dependence between global crude oil and Chinese commodity futures markets across different quantiles of the return distributions. Based on weekly data from 11 June 2004 to 7 July 2017, we address this issue by applying a quantile regression method. This technique provides a more detailed investigation of the dependence. Moreover, considering the structural breaks caused by market turmoil or financial crises, we divide the full period of every commodity sector market into sub-periods based on these break dates to further explore the dependence changes. The empirical results indicate that the dependence between global crude oil and Chinese commodity futures markets is different across quantiles in different commodity sectors. The dependence is significantly positive, except in markets with high expected returns. Additionally, the effects caused by structural breaks are distinctly heterogeneous across quantiles. The effect of the same break on the degree of dependence exhibits an increasing tendency as the quantile level increases, which suggests that markets with high expected returns are more susceptible to crises. Finally, we apply a prediction analysis to further verify the heterogeneity of the commodity sectors, which may be the cause of the heterogeneous dependence.
机译:本文探讨了收益分配不同分位数之间的全球原油和中国商品期货市场之间的依存关系。根据2004年6月11日至2017年7月7日的每周数据,我们采用分位数回归方法解决了此问题。此技术提供了对依赖性的更详细的研究。此外,考虑到市场动荡或金融危机造成的结构性中断,我们根据这些中断日期将每个商品行业市场的整个时期分为子时段,以进一步探讨依赖关系的变化。实证结果表明,全球原油和中国商品期货市场之间的依存关系在不同商品部门的不同分位数之间是不同的。除了在预期收益较高的市场中,这种依赖性非常明显。此外,由结构断裂引起的影响在各个分位数上显然是异质的。随着分位数水平的提高,相同中断对依赖程度的影响呈现出增加的趋势,这表明具有较高预期收益的市场更容易受到危机的影响。最后,我们应用预测分析来进一步验证商品部门的异质性,这可能是异质性依赖的原因。

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