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
- Machine Learning
Abstracting and indexing: Clarivate Analytics Emerging Sources Citation Index; EconLit; EconBiz; and Cabell’s Directory
Fractional differencing: (in)stability of spectral structure and risk measures of financial networks
This paper studies how correcting for the order of differencing leads to altered filtering and risk computation for inferred networks.
This paper develops a block-structured model for the reconstruction of directed and weighted financial networks spanning multiple countries.
The authors introduce a simple numerical algorithm to study banking systems subject to credit risk. The algorithm is based on a model that is completely defined by only two parameters.
The authors explore the effects of market capitalization on the dynamics of cryptocurrencies within both returns and volatility networks and show that these cryptocurrencies exhibit scaling properties in volatility with respect to market capitalization.
In this paper, the authors review the different methods designed to estimate matrixes from their marginals and potentially exogenous information.
This paper analyzes how systemic risk structurally evolved between 2007 and 2017. The main contributions of the paper to the literature include the methodology, analysis and potential use for macroprudential policies.
Here, we address the more general problem of how shock propagation dynamics depend on the topological details of the underlying network. To this end, we consider different realistic network topologies, all consistent with balance sheet information…
The author models interactions between financial transactions and expectations and describe asset pricing and return disturbances.
This work studies contagion risk through the portfolio investment channel using network analysis and simulation on bilateral cross-country data.
This paper provides insight into how the collected data pursuant to the EMIR can be used to shed light on the complex network of interrelations underlying the financial markets.
In this paper, the authors present new evidence on the structure of euro area securities markets using a multilayer network approach.
In this paper, the authors show how to exploit the available data to build portfolios that better fit the risk profiles of investors. This is made possible, on the one hand, by constructing groups of homogeneous risk profiles based on user responses to…
In this paper, the authors investigate a credit rating problem based on the network of trading information (NoTI).
This paper examines the relationship between the topology of interbank networks and their ability to propagate localized, idiosyncratic shocks across the banking sector via banks’ interbank claims on one another.
This paper investigates the effects of contagion in interbank-lending networks, with a special focus on the theoretical grounding of centrality measures.
Structural changes in the interbank market across the financial crisis from multiple core–periphery analysis
In this work, the authors employ the KM–ER algorithm to characterize the internal organization of eMID.
This paper quantifies the interrelations induced among financial institutions by common asset holdings.