Networks in Finance: Foundations and Frontiers

Networks in finance shape how value is created and risks emerge, both systemic and systematic. We survey how different networks, including production, banking, directors, and information networks, propagate micro shocks and transmit them to broader levels of aggregation. First, we synthesize the literature on the efficiency-stability trade-off governing systemic risk: interconnections transmit gains, liquidity, and knowledge, but create channels for contagion. Beyond the foundational focus on within-network transmission, we extend the discussion to across-network spillovers. Second, moving from systemic to systematic risk, we show how network topology drives the stochastic discount factor, affecting factors and expected returns. We also trace how networks form and evolve, dynamically generating new sources of risk. By adopting a macro perspective that unifies distinct networks into an overarching network-of-networks (meta-network), we focus on shared propagation mechanisms and outline directions for future research, including how networks may evolve with the rise of AI, intangibles, and deglobalization.

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Publication Details

Journal
Annual Review of Financial Economics
Published
2026-09-01
DOI
https://doi.org/10.1146/annurev-financial-111824-015225
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

Networks in Finance: Foundations and Frontiers

Bernard Herskovic, Michael Gofman, Gill Segal
Annual Review of Financial Economics
Complex Systems and Time Series Analysis
article

Networks in Finance: Foundations and Frontiers

Bernard Herskovic, Michael Gofman, Gill Segal
article en

Abstract

Networks in finance shape how value is created and risks emerge, both systemic and systematic. We survey how different networks, including production, banking, directors, and information networks, propagate micro shocks and transmit them to broader levels of aggregation. First, we synthesize the literature on the efficiency-stability trade-off governing systemic risk: interconnections transmit gains, liquidity, and knowledge, but create channels for contagion. Beyond the foundational focus on within-network transmission, we extend the discussion to across-network spillovers. Second, moving from systemic to systematic risk, we show how network topology drives the stochastic discount factor, affecting factors and expected returns. We also trace how networks form and evolve, dynamically generating new sources of risk. By adopting a macro perspective that unifies distinct networks into an overarching network-of-networks (meta-network), we focus on shared propagation mechanisms and outline directions for future research, including how networks may evolve with the rise of AI, intangibles, and deglobalization.

Annual Review of Financial Economics
University of North Carolina at Chapel Hill (US), National Bureau of Economic Research (US), Hebrew University of Jerusalem (IL), Anderson University - South Carolina (US)
Partnerships for the goals
Openalex Percentile: Top 18%
Complex Systems and Time Series Analysis
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