Event Agenda

what the course will include

Event Speaker:

  • Kimmo Soramäki, Founder and CEO, Financial Network Analytics and founding Editor-in-Chief, The Journal of Network Theory in Finance

Day One | Wednesday 5th December 2018


Coffee and Registration


Session 1: Network Analytics – the State of the Art

  • Introduction to Network Theory and overview of the training course
  • Applications of Network Theory in Finance and beyond: Risk Exposure Diagnostics, Market Correlation Detection, Payment Analytics, FMI Design and Oversight
  • Presentation and demonstration of FNA’s software featuring a real time graph analytics engine and  advanced configurable dashboard for visual investigation of complex data
  • Overview of scenario generation exercises through visual detection of anomalies in market dynamics; reverse as well as forward-looking stress testing


Coffee Break


Session 2: Exposure Networks and Stress Testing

  • Focus on practical application of network analytics in measuring, mapping and modelling of financial exposures
  • Network analysis of trade repository data and identification of systemically important financial institutions
  • Understanding complex instruments that may hide substantial risks - as highlighted by the agent-based models in the Financial Crisis
  • Hands-on use of interactive dashboards in relation to Case Studies of e.g. CBMX index, Bank for International Settlement’s bank’s country risk exposure




Session 3: Correlation Maps – a Systemic View of Financial Markets

  • Presentation of advanced correlation maps visualising interconnectivity of markets
  • Focus on Value at Risk analytics and outlier detection
  • Development of early warning signals through monitoring of interconnected market dynamics and visual
  • Statistical identification of hidden patterns in complex data
  • Hands on use of dashboards for Case Studies of eg, US Housing Bubble and Crisis


Coffee break


Session 4: Stress testing Correlation Networks

  • Focus on financial markets as a complex system with numerous measurable interdependencies.
  • Production of 'what if' scenarios to predict movements of markets under stress.
  • Stress testing correlation structures.
  • Hands on use of interactive dashboards in relation to Case Studies of eg Brexit Referendum and US Presidential Election


End of day one

Day Two | Thursday 6th December 2018




Session 5: Using network simulations to design FMIs

  • Modelling FMIs as complex systems with Agent Based Modelling
  • Measuring liquidity efficiency
  • Developing new Liquidity-Saving Mechanisms
  • Hands on use of interactive dashboards in relation to Case Studies of eg.. CLS, LVTS, CHAPS


Coffee break


Session 6: Diagnostic analytics: Detection and investigation of Financial Crime

  • Improving fraud detection and AML with network theory
  • "Following the money" in manual investigation of financial crime
  • Identification of DDoS attack patterns through real time detection of anomalies in cyber-networks
  • Hands on use of interactive dashboards in relation to Case Studies




Session 7: Monitoring FMIs and their Members for liquidity, solvency and systemic risk

  • Using payment data to measure liquidity and solvency of financial institutions
  • Real-time monitoring and outlier detection
  • Interconnectedness of CCPs
  • Hands on use of dashboards in relation to Case Studies of e.g. Banco de la República, CLS, Bank of Korea


Coffee break


Session 8: Stress Testing FMIs

  • Developing stress scenarios (participant failure, operational issues, etc.)
  • Using Agent Based Simulations to evaluate different stress scenarios
  • Running Simulations
  • Hands on use of interactive dashboards in relation to Case Studies


Coffee break


Session 9: Course conclusion: the next steps for network analytics

  • Where regulators are (and will be) using network theory – and requiring it
  • Review of key takeaways from earlier sessions
  • “Tomorrow’s” themes, trends and opportunities

End of course