Agenda

Agenda

Agenda

 

Day 1: Building Blocks of Network Analytics 

Wednesday 27 March 2019

09:00

Registration and refreshments

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
  • Introduction to RegTech and SupTech
  • Presentation and demonstration of FNA’s software featuring a real time graph analytics engine and advanced configurable dashboard for visual investigation of complex data

11:00

Morning 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
  • Global interconnectedness of FMIs
  • 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 country risk exposure
  • Hands on creation and analysis of Exposure networks from BIS data

13:00

Lunch

14:00

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

  • Presentation of advanced correlation maps visualizing 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, US Presidential Election and the EU Debt Crisis

15:30

Afternoon 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
  • Hands on creation and analysis of Correlation networks from market data.

17:00

End of day one

Day 2: Practical Applications: Understanding, Visualising and Managing Risks

Thursday 28 March 2019

09:00

Refreshments

09:30

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

Morning break

11:30

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

Afternoon break

16:00

Session 8: 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


 

17:00

End of course