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The intrafirm complexity of systemically important financial institutions

Abstract:
In November 2011, the Financial Stability Board, in collaboration with the International Monetary Fund, published a list of 29 “systemically important financial institutions” (SIFIs, now referred to as “globally systemically important banks” or G-SIBs), institutions whose failure, by virtue of “their size, complexity, and systemic interconnectedness”, could have dramatic negative consequences for the global financial system. While “size” and “interconnectedness” have been the subject of much quantitative analysis, less attention has been paid to measuring “complexity.” Yet without a consistent way to measure complexity, there is little guarantee that the designated SIFIs capture the complexity that the FSB is concerned about, and little hope of mitigating the consequences that the FSB warns of. In this paper we propose the structure of an individual firm’s majority-control hierarchy as a proxy for institutional complexity. We demonstrate as a proof-of-concept how this method might be used by bank supervisors, particularly the Federal Reserve under its authority as consolidated supervisor, using a data set containing information on the majority-control hierarchies of many of the designated SIFIs. Our mathematical intrafirm network representation (and various associated metrics we propose) provides a uniform way to compare firms with often very disparate organizational structures -- one that is distinct from a simple size comparison.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jfs.2020.100804

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
ORCID:
0000-0001-7871-073X


Publisher:
Elsevier
Journal:
Journal of Financial Stability More from this journal
Volume:
52
Article number:
100804
Publication date:
2020-10-14
Acceptance date:
2020-03-10
DOI:
ISSN:
1572-3089


Language:
English
Keywords:
Pubs id:
1112685
Local pid:
pubs:1112685
Deposit date:
2020-06-17
ARK identifier:

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