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Using detrended deconvolution foreign exchange network to identify currency status

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Listed:
  • Pengfei Xi
  • Shiyang Lai
  • Xueying Wang
  • Weiqiang Huang

Abstract

This article proposed a hybrid detrended deconvolution foreign exchange network construction method (DDFEN), which combined the detrended cross-correlation analysis coefficient (DCCC) and the network deconvolution method together. DDFEN is designed to reveal the `true' correlation of currencies by filtering indirect effects in the foreign exchange networks (FXNs). The empirical results show that DDFEN can reflect the change of currency status in the long term and also perform more stable than traditional network construction methods.

Suggested Citation

  • Pengfei Xi & Shiyang Lai & Xueying Wang & Weiqiang Huang, 2020. "Using detrended deconvolution foreign exchange network to identify currency status," Papers 2008.09482, arXiv.org.
    • Handle: RePEc:arx:papers:2008.09482
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    3. Du, Julan & Zhang, Yifei, 2018. "Does One Belt One Road initiative promote Chinese overseas direct investment?," China Economic Review, Elsevier, vol. 47(C), pages 189-205.
    4. Jarosław Kwapień & Sylwia Gworek & Stanisław Drożdż & Andrzej Górski, 2009. "Analysis of a network structure of the foreign currency exchange market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 55-72, June.
    5. Li, Jianxuan & Shi, Yingying & Cao, Guangxi, 2018. "Topology structure based on detrended cross-correlation coefficient of exchange rate network of the belt and road countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1140-1151.
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