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迪维西亚货币总量中的非线性动力学:递归量化分析的应用

Nonlinear dynamics in Divisia monetary aggregates: an application of recurrence quantification analysis.

作者信息

Andreadis Ioannis, Fragkou Athanasios D, Karakasidis Theodoros E, Serletis Apostolos

机构信息

University of Calgary, Calgary, AB Canada.

出版信息

Financ Innov. 2023;9(1):16. doi: 10.1186/s40854-022-00419-5. Epub 2023 Jan 10.

Abstract

We construct recurrence plots (RPs) and conduct recurrence quantification analysis (RQA) to investigate the dynamic properties of the new Center for Financial Stability (CFS) Divisia monetary aggregates for the United States. In this study, we use the latest vintage of Divisia aggregates, maintained within CFS. We use monthly data, from January 1967 to December 2020, which is a sample period that includes the extreme economic events of the 2007-2009 global financial crisis. We then make comparisons between narrow and broad Divisia money measures and find evidence of a nonlinear but reserved possible chaotic explanation of their origin. The application of RPs to broad Divisia monetary aggregates encompasses an additional drift structure around the global financial crisis in 2008. Applying the moving window RQA to the growth rates of narrow and broad Divisia monetary aggregates, we identify periods of changes in data-generating processes and associate such changes to monetary policy regimes and financial innovations that occurred during those times.

摘要

我们构建递归图(RPs)并进行递归量化分析(RQA),以研究美国新的金融稳定中心(CFS)迪维西亚货币总量的动态特性。在本研究中,我们使用了CFS内部维护的最新版本的迪维西亚总量数据。我们使用了1967年1月至2020年12月的月度数据,该样本期包括了2007 - 2009年全球金融危机这一极端经济事件。然后,我们对狭义和广义迪维西亚货币度量进行比较,发现它们存在非线性但保留了可能的混沌起源解释的证据。将递归图应用于广义迪维西亚货币总量时,在2008年全球金融危机前后呈现出额外的漂移结构。通过对狭义和广义迪维西亚货币总量增长率应用移动窗口递归量化分析,我们识别出数据生成过程发生变化的时期,并将这些变化与当时的货币政策制度和金融创新联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f608/9829528/bff61b3bcc2f/40854_2022_419_Fig1_HTML.jpg

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