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Systemic risk in banking ecosystems
Author(s) -
Andrew Haldane,
Robert M. May
Publication year - 2011
Publication title -
nature
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 15.993
H-Index - 1226
eISSN - 1476-4687
pISSN - 0028-0836
DOI - 10.1038/nature09659
Subject(s) - systemic risk , financial crisis , financial stability , set (abstract data type) , stability (learning theory) , ecosystem , economics , business , ecology , computer science , financial system , biology , macroeconomics , machine learning , programming language
In the run-up to the recent financial crisis, an increasingly elaborate set of financial instruments emerged, intended to optimize returns to individual institutions with seemingly minimal risk. Essentially no attention was given to their possible effects on the stability of the system as a whole. Drawing analogies with the dynamics of ecological food webs and with networks within which infectious diseases spread, we explore the interplay between complexity and stability in deliberately simplified models of financial networks. We suggest some policy lessons that can be drawn from such models, with the explicit aim of minimizing systemic risk.

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