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Study on spillover effect of copper futures between LME and SHFE using wavelet multiresolution analysis

机译:利用小波多分辨率分析研究LME和SHFE铜期货溢出效应研究

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Research on information spillover effects between financial markets remains active in the economic community. A Granger-type model has recently been used to investigate the spillover between London Metal Exchange (LME) and Shanghai Futures Exchange (SHFE), however, possible correlation between the future price and return on different time scales have been ignored. In this paper, wavelet multiresolution decomposition is used to investigate the spillover effects of copper future returns between the two markets. The daily return time series are decomposed on 2n (n=1, …, 6) frequency bands through wavelet multiresolution analysis. The correlation between the two markets is studied with decomposed data. It is shown that high frequency detail components represent much more energy than low-frequency smooth components. The relation between copper future daily returns in LME and that in SHFE are different on different time scales. The fluctuations of the copper future daily returns in LME have large effect on that in SHFE in 32-day scale, but small effect in high frequency scales. It also has evidence that strong effects exist between LME and SHFE for monthly responses of the copper futures but not for daily responses.
机译:金融市场之间的信息溢出效应的研究仍然活跃于经济共同体。最近用于调查伦敦金属交易所(LME)和上海期货交易所(SHFE)之间的溢出,然而,未来价格与不同时间尺度的返回之间可能的相关性被忽略了溢出。在本文中,采用小波多分辨率分解研究了两种市场之间铜的溢出效应。每日返回时间序列通过小波多分辨率分析在2N(n = 1,...,6)频带上分解。使用分解数据研究了两种市场之间的相关性。结果表明,高频细节组件表示比低频平滑部件更多的能量。 LME中铜未来日常返回的关系,在SHFE中的不同时间尺度不同。 LME中铜的未来日复度返回的波动对32天的SHFE造成了很大的影响,但在32天的规模中对SHFE进行了很大的影响,但在高频尺度方面的效果很小。它还有证据表明,LME和SHFE之间存在强烈影响,用于铜期货的每月回复,但不适用于日常响应。

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