Agenda

Agenda

Agenda

Day 1

Building Blocks of Network Analytics

09.00

Coffee and Registration

09.30

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

11.00

Coffee break

11.30

Session 2: Exposure Networks & 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

13.00

Lunch

14.00

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

15.30

Coffee break

16.00

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

17.00

End of Day 1

Day 2

Practical Applications: Understanding, Visualising and Managing Risks

09.00

Coffee

09:30

Session 5: 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

 

11:00

Coffee Break

11:30

Session 6: Session 6: Monitoring and Stress Testing 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
  • Developing stress scenarios (participant failure, operational issues, etc.)
  • Using Agent Based Simulations to evaluate different stress scenarios
  • Running simulations
  • Hands on creation and analysis of transaction networks, eg from Trade repository or payments data.

13:00

Lunch

14:00

Session 7: Diagnostic Analytics: Detection and Investigation of Financial Crime and Cyber Attacks

  • Improving fraud detection and AML with network theory
  • "Following the money" and automating the manual investigation of financial crime
  • Identification of DDoS attack patterns through real time detection of anomalies in cyber networks
  • Cyber attacks and technological and infrastructure interdependencies
  • Hands on use of interactive dashboards in relation to Case Studies
  • Hands on creation and analysis of related party networks.

15:30

Coffee break

16:00

Session 8: Course Conclusion: 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

17:00

End of course