Even after a decade of a stable economic environment we are increasingly concerned about continuing financial instability. In addition, the rapid development of artificial intelligence (AI) methods poses new challenges and opportunities in the financial sector.
This conference on systemic risk analytics brings together the most recent advances in computational tools for systemic risk identification and assessment, as well as future opportunities and threats relating to big data and AI. The link between climate threats and economic policies also needs to be investigated. The scope of models and techniques includes systemic risk and early-warning indicators, network and contagion analysis, macro stress testing, the optimal timing of macroprudential countermeasures, measures of coinciding systemic stress and systemically important financial institutions.
The aim of the conference is also to adopt methods and techniques from other disciplines that use computer-intensive approaches, including computer science, engineering, biology and physics, novel data sources, visual representations or interactive interfaces.
The topics of the conference cover policy and practitioner-oriented research related to systemic risk measurement. We are soliciting contributions covering a broad range of techniques related to systemic risk analytics, including but not limited to the following areas.
The conference will take place on 1 and 2 July 2021, and will be held virtually. It will include both keynote speakers and presentations, with further information to be published closer to the date.
We welcome academics and experts on the conference topics to participate. Participation requires pre-registration, which can be done here.