Journal of Network Theory In Finance

The Journal of Network Theory in Finance publishes data-driven or theoretical work in - but not limited to - the following areas:

• Empirical network analysis that enables better understanding of financial flows, trade flows, input-output tables, financial exposures or market interdependencies
• Modeling and simulation techniques for measuring interdependent financial risks
• New metrics and techniques for identifying central, vulnerable or systemically important institutions and markets in financial networks
• Network modeling of time-series data for financial risk management, asset allocation and portfolio management
• Social network analysis (SNA) in finance, such as using social network data for making credit and investment decisions
• Applied network visualization techniques that improve the communication of financial risks and rewards
• Analysis of counterparties and their risk exposure from interconnectivity with the financial system and regulatory strategies for improving financial stability

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