Journal of Network Theory in Finance

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Financial institutions and markets are highly interconnected, but only recently has literature begun to emerge that maps these interconnections and assesses their impact on financial risks and returns. The Journal of Network Theory in Finance is an interdisciplinary journal publishing academically rigorous and practitioner-focused research on the application of network theory in finance and related fields. The journal brings together research carried out in disparate areas within academia and other research institutions by policymakers and industry practitioners.

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

  • 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
  • Complex systems
  • Econophysics
  • Machine Learning

Abstracting and indexing: Clarivate Analytics Emerging Sources Citation Index; EconLit; EconBiz; and Cabell’s Directory

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