Even after a decade of stable economic environment we are ever more concerned about consistent financial instability. Also, the fast development of AI methods in finance will pose new challenges and opportunities in our economic climate.
This conference on systemic risk analytics brings together most recent advances on computational tools for systemic risk identification and assessment as well as future opportunities and threats of Big Data and AI.
Also, the link between climate threats, post-Covid macroprudential challenges and economic policies need to be investigated. The scope of models and techniques includes systemic risk and early-warning indicators, network and contagion analysis, macro stress-testing, optimal timing of macro-prudential countermeasures as well as measures of coinciding systemic stress and systemically important financial institutions.
The aim of the conference is to also adopt methods and techniques from other disciplines, such as computer science, engineering, biology and physics, that use computer-intensive approaches, novel data sources, visual representations or interactive interfaces, among others.
The themes of the conference cover policy and practitioner-oriented research related to systemic risk measurement. We solicit contributions covering a broad range of techniques related to systemic risk analytics, particularly related to (but not limited to) the following themes:
The conference will take place on 5-6 May 2022 and is held as a hybrid conference. The conference includes both keynotes and presentations.
Academic papers to be considered for presentation at the conference and workshop should be submitted via online form by 10 January 2022. Accepted paper presenters will be notified in due course, as well as the format of the presentations; there will be both oral and poster presentations in the conference.
We welcome academics and experts of the conference topics to participate in the conference. Participation requires pre-registration. Registration will open later in the spring.