Topology as information: Network effects in corporate lending
Anna Pirogova, Anna Mancini, Tiziano Squartini, Giulio Cimini

TL;DR
This paper introduces the concept of topological capital, showing that network connectivity and structure significantly influence corporate lending decisions, often surpassing traditional financial metrics, and suggests a shift towards topological supervision for financial stability.
Contribution
It presents a novel empirical framework analyzing how network topology impacts credit access and loan sizes, highlighting the substitution of physical collateral with topological signals in lending.
Findings
Network topology outperforms fundamentals in explaining credit access.
Connectivity amplifies further link formation through preferential attachment.
Topological signals can replace balance-sheet metrics in loan sizing.
Abstract
A central challenge in financial economics is understanding how credit networks form under informational noise. We introduce the concept of topological capital, arguing that banks increasingly rely on topological certification, interpreting a borrower's connectivity as a primary proxy for creditworthiness. Using a novel dataset of bank-firm relationships manually extracted from Italian financial statements, we implement a multi-stage empirical framework, benchmarking empirical patterns against a maximum-entropy benchmark, to separate the determinants of credit access from those of loan volumes. Our results indicate that network topology systematically outperforms traditional fundamentals. In the link-formation stage, connectivity breeds further connectivity through an amplified preferential attachment mechanism. In the loan-sizing stage, network strength absorbs the explanatory power of…
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Taxonomy
TopicsBanking stability, regulation, efficiency · Italy: Economic History and Contemporary Issues · Working Capital and Financial Performance
