International Trade and Financial Integration: A Weighted Network Analysis

Giorgio Fagiolo (), Javier Reyes and Stefano Schiavo

LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy

Abstract: In this paper we compare the patterns of trade and financial integration by exploit- ing network analysis. Our results show that, by combining binary and weighted network analysis, it is possible to deliver more precise and thorough insights on the topological structure and properties of the international trade and financial net- works (ITN and IFN). We find that the ITN is more densely connected than the IFN and that the degree of international financial integration varies with asset type. Our results also indicate that richer countries are better linked and form groups of tightly interconnected nodes. This can be seen as a sign of the persistent relevance of local relations. Yet, the growing importance of global links is testified by the disassortative feature of both the ITN and the IFN: poorly connected nodes tend to connect to central ones and use them as hubs to access the rest of the network.

Keywords: International Trade; International Financial Flows; Globalization; Complex Weighted Networks; Dynamics. (search for similar items in EconPapers)
Date: 2007-07-16
New Economics Papers: this item is included in nep-int and nep-net
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.lem.sssup.it/WPLem/files/2007-16.pdf (application/pdf)

Related works:
Journal Article: International trade and financial integration: a weighted network analysis (2010)
Working Paper: International Trade and Financial Integration: a Weighted Network Analysis (2007)
Working Paper: International Trade and Financial Integration: a Weighted Network Analysis (2007)
Working Paper: International Trade and Financial Integration: a Weighted Network Analysis (2007)
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:ssa:lemwps:2007/16

Access Statistics for this paper

More papers in LEM Papers Series from Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).