Research Seminar Series in Statistics and Mathematics

Ort: Wirtschaftsuniversität Wien , Departments 4 D4.4.008 am 01. März 2019 Startet um 09:00 Endet um 10:30
Art Vortrag/Diskussion
SpracheEnglish
Vortragende/r Stefan Thurner (Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna)
Veranstalter Institut für Statistik und Mathematik
Kontakt katrin.artner@wu.ac.at

Stefan Thurner (Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna) about "Elimination of systemic risk in financial markets"

The Institute for Statistics and Mathematics (Department of Finance, Accounting and Statistics) cordially invites everyone interested to attend the talks in our Research Seminar Series, where internationally renowned scholars from leading universities present and discuss their (working) papers.
No registration required.

The list of talks for the summer term 2019 is available via the following link: https://www.wu.ac.at/en/statmath/resseminar

Abstract:
Systemic risk in financial markets arises—to a large extent—through the interconnectedness of agents through financial contracts. We show that the systemic risk level of every player in a financial system can be quantified by simple network measures. With actual central bank data of Austria and Mexico we are able to compute the total expected systemic losses of an economy, a number that allows us to estimate the cost of a financial crises. We can further show on real data that it is possible to compute the systemic risk contribution of every single transaction in the financial system. We propose a smart financial transaction tax that incentivizes players to avoid systemically risky transactions. Avoiding this tax effectively restructures the topology of financial networks so that large-scale contagion events become impossible. We can prove the existence of a systemically risk-optimal equilibrium under this tax. An agent based model demonstrates that this Systemic Risk Tax practically eliminates the network-component of systemic risk in a system.



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