Agenda
Agenda
Agenda
09:00 – 09:30
Coffee and Registration
09:00 - 09:30
09:30 – 11:00
Session 1: Network analytics – the state of the art
09:30 - 11:00
- 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 – 11:30
Coffee break
11:00 - 11:30
11:30 – 13:00
Session 2: Exposure networks and stress testing
11:30 - 13:00
- 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 Settlements country risk exposure
- Hands on creation and analysis of exposure networks from BIS data.
13:00 – 14:00
Lunch
13:00 - 14:00
04:00 – 15:30
Session 3: Correlation maps – a systemic view of financial markets
14:00 - 15:30
- 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 – 16:00
Coffee break
15:30 - 16:00
16:00 – 17:00
Session 4: Stress testing correlation networks
16:00 - 17:00
- 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.
09:00 – 09:30
Coffee and Registration
09:00 - 09:30
09:30 – 11:00
Session 5: Using network simulations to design FMIs
09:30 - 11:00
- 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 – 11:30
Coffee break
11:00 - 11:30
11:30 – 13:00
Session 6: Monitoring and stress yesting FMIs and their members for liquidity, solvency and systemic risk
11:30 - 13:00
- 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 – 14:00
Lunch
13:00 - 14:00
14:00 – 15:30
Session 7: Diagnostic analytics: detection and investigation of financial crime and cyber attacks
14:00 - 15:30
- 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 – 16:00
Coffee break
15:30 - 16:00
16:00 – 17:00
Session 8: Course conclusion: next steps for network analytics
16:00 - 17:00
- 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