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Entropy correlation distance method applied to study correlations between the Gross Domestic Product of rich countries

机译:熵相关距离法应用于研究相关性   富裕国家的国内生产总值之间

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摘要

The Theil index is much used in economy and finance; it looks like theShannon entropy, but pertains to event values rather than to theirprobabilities. Any time series can be remapped through the Theil index.Correlation coefficients can be evaluated between the new time series, therebyallowing to study their mutual statistical distance, - to be contrasted to theusual correlation distance measure for the primary time series. As an examplethis entropy-like correlation distance method (ECDM) is applied to the GrossDomestic Product of 20 rich countries in order to test some economyglobalization process. Hierarchical distances allow to construct (i) a linearnetwork, (ii) a Locally Minimal Spanning Tree. The role of time averaging infinite size windows is illustrated and discussed. It is also shown that themean distance between the most developed countries, was decreasing since 1960till 2000, - which we consider to be a proof of globalization of the economyfor these countries.
机译:Theil指数在经济和金融领域被广泛使用;它看起来像香农熵,但与事件值有关,而不是其概率。可以通过Theil索引重新映射任何时间序列。可以评估新时间序列之间的相关系数,从而可以研究它们之间的相互统计距离,从而与主要时间序列的通常相关距离度量形成对比。例如,此熵类似的相关距离方法(ECDM)被应用于20个富裕国家的国内生产总值,以测试某些经济全球化过程。分层距离允许构造(i)线性网络,(ii)局部最小生成树。图示并讨论了时间平均无穷大窗口的作用。研究还表明,自1960年到2000年,最发达国家之间的主题距离正在减小,我们认为这是这些国家经济全球化的证明。

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