Why Network Science?
CCPs are indirectly connected to each other via a network of clearing participants, service providers, payment systems and financial assets. Network Science facilitates monitoring and modeling of such complex systems – large systems with many interacting elements and non-linearities.
We quantify the impact of interconnectedness with network analytics and model contagion in a variety of ways, including using agent based modeling. We use both structured and unstructured data. Inputs can be stochastic or deterministic, and behavior assumptions can be static, pre-programmed, evolving or co-learning.
About FNA
FNA is a deep technology company and award-winning leader in Regulatory Technology (Regtech) and Supervisory Technology (Suptech). FNA combines industry leading data science capabilities with specialized software developed for analysis and monitoring of complex financial systems.
The CCP monitor allows financial authorities to map and monitor complex financial networks and to conduct stress tests.
FNA’s clients include central banks, regulatory and supervisory agencies, GSIBs, CCPs and other financial market infrastructures.
FNA’s mission is to make the financial system safer and more efficient.