EconPapers    
Economics at your fingertips  
 

New evidence of interdependence in forex markets: A connection of connection analysis

Tao Wu, Xiaotong Sun, Xin Xu, Nanfei Jia and Siyuan Xuan

International Review of Financial Analysis, 2024, vol. 95, issue PA

Abstract: Uncovering the complex connections among components is a fundamental approach to understand underlying mechanisms and then guide decision-making in forex markets. Previous works mainly focused on the connections between currency themselves, this work extends this issue by proposing a novel framework to investigate the connections between currency connections. Selecting ten major traded currencies as samples, we examine the correlations and causations among currency connections under short-, medium- and long-term scales. The main results are: (1) the changes in currency correlations are not only correlated but also causally linked with other currency correlations; (2) there exists stronger causal interactions of currency connections in long-term scales compared with short and median scales; (3) In short-term scale, the correlation between EUR and GBP is key currency connection, while the connection between CAD and CNY is the key currency connection in long-term scale. In summary, revealing the connections of connections in forex markets substantially extends existing works, which provides new useful information to market participants.

Keywords: Connection of connection; Causation; Complex network; Forex markets (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521924002758
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:95:y:2024:i:pa:s1057521924002758

DOI: 10.1016/j.irfa.2024.103343

Access Statistics for this article

International Review of Financial Analysis is currently edited by B.M. Lucey

More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:finana:v:95:y:2024:i:pa:s1057521924002758