Managing Systemic Risk in Financial Multilayer Networks Center for Advanced Studies (CAS) Research Focus Quantitative Network Science (LMU) - HD

Systemic risk in financial markets arises largely because of the interconnectedness of agents through financial contracts. We show that the systemic risk level of every agent in the system can be quantified by simple network measures. With actual central bank data for Austria and Mexico we are able to compute the expected systemic losses of an economy, a number that allows to estimate the cost of a crises. We can further show with real data that is possible to compute the systemic risk contribution of every single financial transaction to the financial system. We suggest an intelligent financial transaction tax that taxes the systemic risk contribution of all transactions. This tax provides an incentive for market participants to trade financial assets in a way that effectively restructures financial networks so that contagion events become impossible. With an agent based model we can demonstrate that this Systemic Risk Tax practically eliminates the network-component of systemic risk in a system. | Stefan Thurner ist Professor für Science of Complex Systems an der Medizinischen Universität Wien.