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

机译:基于小波多分辨率分析的LME与SHFE之间的铜期货溢出效应

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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 2~n (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研究在经济界仍然活跃。最近已使用格兰杰(Granger)型模型研究伦敦金属交易所(LME)和上海期货交易所(SHFE)之间的溢出,但是,期货价格与不同时间尺度上的收益之间的可能相关性已被忽略。在本文中,小波多分辨率分解用于研究两个市场之间铜期货收益的溢出效应。通过小波多分辨率分析,将每日返回时间序列分解为2〜n(n = 1,...,6)个频段。使用分解后的数据研究两个市场之间的相关性。结果表明,高频细节分量比低频平滑分量代表更多的能量。 LME和SHFE的铜期货日收益率之间的关系在不同的时间尺度上是不同的。 LME铜期货日收益率的波动在32天尺度上对SHFE的影响较大,但在高频尺度中影响较小。它还有证据表明,LME和SHFE之间对铜期货的月度响应存在强烈影响,但对每日响应不存在影响。

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