Complexity theory and financial regulation: Economic policy needs interdisciplinary network analysis and behavioral modeling

Stefano Battiston, J.D. Farmer, Andreas Flache, Diego Garlaschelli, Andrew G. Haldane, Hans Heesterbeek, Cars Hommes*, Carlo Jaeger, Robert May, Marten Scheffer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

163 Citations (Scopus)

Abstract

Traditional economic theory could not explain, much less predict, the near collapse of the financial system and its long-lasting effects on the global economy. Since the 2008 crisis, there has been increasing interest in using ideas from complexity theory to make sense of economic and financial markets. Concepts, such as tipping points, networks, contagion, feedback, and resilience have entered the financial and regulatory lexicon, but actual use of complexity models and results remains at an early stage. Recent insights and techniques offer potential for better monitoring and management of highly interconnected economic and financial systems and, thus, may help anticipate and manage future crises.
Original languageEnglish
Pages (from-to)818-819
JournalScience
Volume351
Issue number6275
DOIs
Publication statusPublished - 2016

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    Battiston, S., Farmer, J. D., Flache, A., Garlaschelli, D., Haldane, A. G., Heesterbeek, H., Hommes, C., Jaeger, C., May, R., & Scheffer, M. (2016). Complexity theory and financial regulation: Economic policy needs interdisciplinary network analysis and behavioral modeling. Science, 351(6275), 818-819. https://doi.org/10.1126/science.aad0299