Link prediction in the Granger causality network of the global currency market

Volume: 553, Pages: 124668 - 124668
Published: Sep 1, 2020
Abstract
In this study, we analyze the topology of the global currency market using the Granger causality network and attempt to predict its links by utilizing the real effective exchange rate of 61 countries. In this context, we suggest two new link prediction methods using the eta squared as a weight of link. For the network analysis, we focus on the changes in cross-sectional topology and time-varying properties of the causality network during the...
Paper Details
Title
Link prediction in the Granger causality network of the global currency market
Published Date
Sep 1, 2020
Volume
553
Pages
124668 - 124668
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.