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The Effect of ENSO on Wheat Futures based on EMD and GARCH model

机译:基于EMD和GARCH模型的小麦期货对小麦期货的影响

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At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual analyses and directly data analysis, and these discussions are usually limited to futures price. This article uses EMD algorithm to decompose Wheat futures prices and denoised ENSO index, and finally gets the negative relationship between El Nino Southern Oscillation and wheat Futures prices. Then, this article conducts the comparative analysis of operation performance based on El Nino Southern Oscillation, finding that this mode of operation can greatly increase yields, which further explains the practical significance of ENSO. In order to explore the impact of El Nino Southern Oscillation on wheat futures yields, use classic GARCH models, transform ENSO index into virtual variables, respectively introduce them into the mean value equation and conditional variance equation. After analysis, the conclusion shows that the impact is mainly on the volatility of return rate, which reminds traders of considering risk management first.
机译:目前,大多数关于El Nino Southern振荡和农业期货关系的研究侧重于感知分析和直接数据分析,这些讨论通常限于期货价格。本文采用EMD算法将小麦期货价格和去噪的ENSO指数分解,最终获得EL NINO Southern振荡和小麦期货价格之间的负面关系。然后,本文对基于EL NINO Southern振荡的操作性能进行比较分析,发现这种操作模式可以大大增加产量,这进一步解释了ENSO的实际意义。为了探讨El Nino Southern振荡对小麦期货收益率的影响,使用经典的GARCH模型,将ENSO指数转换为虚拟变量,分别将它们介绍进入平均值方程和条件方差方程。在分析之后,结论表明,影响主要是回报率波动,这提醒贸易商首先考虑风险管理。

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