Manuscript Topics

Financial markets are recognized as complex systems, due to their inherent dynamics and the fact that they involve many agents taking frequent trading behaviors. Over the years, markets have continuously been monitored with many types of mathematical, econometric, physic, or information theory approaches. Moreover, the existence of big data has enabled working on economic and financial systems. There are constantly new challenges in studying the complex network features of financial markets.

The increasing connection among financial markets, as well as the occurrence of different types of events, creates the challenge of understanding financial networks in a detailed way. Therefore, it is difficult to make financial markets relevant for agents who are in the market such as investors. Moreover, it is a similar situation for the authorities, which have also the challenge of keeping markets stabilized. In addition, it is also necessary to understand how markets are related to preventing future possible problems.

The aim of this Special Issue is to bring both original research and review articles discussing the complex network features of financial markets by considering their connectedness structures. We welcome submissions devoted to stock markets, bonds, commodities, cryptocurrencies. Research discussing methods and potential applications with the main objective of increasing our knowledge of financial network is also welcome. Manuscripts using applications such as big data techniques, linear and nonlinear econometric methods, measures from information theory, statistical physics approaches are highly encouraged. Other empirical and theoretical approaches related to complex network features in financial markets are also considered.

Potential topics include but are not limited to the following:  
• Complex network structures in financial markets  
• Relationship between different financial assets  
• Risk spillover between different financial markets  
• Big data techniques in financial network analysis  
• Econometric methods in financial network analysis  
• Information theory in financial network analysis  
• Econophysics application in financial network analysis

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