Jacob Sharples - Latest

• Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

  Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples

  Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

  Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42

• Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends

  Staff Analytical Note 2024-2 Vladimir Skavysh, Jacob Sharples, Sofia Priazhkina, Salman H. Hasham

  This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): G, G1, G15, L, L1