About this Research Topic
The increasing interconnectivity between markets, countries, financial institutions and financial markets imposes the challenge of developing methodologies that estimate the risks and the emergence of systemic risk as well as contagion.
The study of complex networks has contributed significantly to this debate. Nevertheless, a series of questions remain unanswered. One of the most pressing issues concerns the emergence of interconnection networks. The construction of models that allow us to understand how networks of interconnections emerge is an area that still needs to be developed.
The purpose of this Research Topic is to assemble a collection of articles that discuss the formation of complex networks of economic or financial variables. We look for articles that present the characteristics of these networks and their evolution in time. In addition, articles that propose methodologies to measure risks and systemic risk that comes from the interconnections that exist in the real world and in financial markets. Articles that present methodological innovations, build new concepts and present best practices are welcome.
Furthermore, we look for articles that show the characteristics of financial interconnectivity networks in different countries and different markets and also, compare and show how these networks evolve over time. Articles that discuss the formation of endogenous networks are welcome in this process of building a literature that allows estimating risks and proposing public policies. We also look for papers on neural networks, transportation networks, informatics networks and their relation to economics or finance.
Keywords: Economic and Financial Networks, Endogenous Networks, Neural Networks, Complex Networks, Transportation Networks, Risk
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.