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SSRN Electronic Journal
Article . 2019 . Peer-reviewed
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Network-Sensitive Financial Regulation

Authors: Alessandro Romano; Alessandro Romano; Luca Enriques; Thom Wetzer;

Network-Sensitive Financial Regulation

Abstract

Shocks that hit part of the financial system, such as the subprime mortgage market in 2007, can propagate through a complex network of interconnections among financial and non-financial institutions. As the financial crisis of 2007-2009 has shown, the consequences for the entire economy of such systemic risk materializing can be catastrophic. Following the crisis, economists and policymakers have become increasingly aware that the structure of the financial system is a key determinant of systemic risk. A wide consensus now exists among them that network theory is the natural framework for studying systemic risk. Yet, most of the existing rules in financial regulation are still “atomistic,” in that they fail to incorporate the fact that each individual institution is part of a wider network. This article shows that policies building upon insights from network theory (network-sensitive policies) can address systemic risk more effectively than traditional atomistic policies, also in areas where an atomistic approach would seem natural, such as the corporate governance of systemically important financial institutions. In particular, we consider four prescriptions for the governance of systemically important institutions (one on directors’ liability, two on executive compensation and one on failing financial institutions’ shareholders appraisal rights in mergers) and show how making them network-sensitive would both increase their effectiveness in taming systemic risk and better calibrate their impact on individual institutions.

Countries
United Kingdom, Italy
Related Organizations
Keywords

NETWORK THEORY, SYSTEMICALLY IMPORTANT FINANCIAL INSTITUTIONS, MACROPRUDENTIAL REGULATION

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
Green
bronze