With new innovations in the field, this new edition of Network Theory and Financial Risk has been fully updated and expanded. A hands-on guide to analysing and modelling financial networks, authors Kimmo Soramäki and Samantha Cook provide an in-depth introduction to network theory and examine the general tools for network analysis. The book contains detailed coverage of four types of widely-occurring financial networks: 1. Payment systems2. Exposure networks3. Trade networks4. Asset correlation networks Having added new chapters and case studies covering supervisory technology (suptech), anti-money laundering (AML), fraud investigations and cyber security, this new edition will appeal to a wide readership from students, professors and researchers to practitioners such as quantitative analysts, data scientists, economists and intelligence analysts. Soramäki and Cook show how network theory can be put to use to deal with real financial problems. Hedge fund and asset managers will find correlation networks useful for monitoring market dynamics and managing their portfolios. Regulators and supervisors can use payment networks and simulations to understand the effects of liquidity-saving mechanisms and to see how different centrality measures relate to a bank’s performance in the event of an operational failure. Insurance providers and supply-chain economists can use trade networks to understand how network theory can be used to identify weaknesses in the system. Readers will understand that networks underlie all financial risk, and will be able to use this knowledge to better analyse and assess all types of financial risk, including liquidity, operational, insurance, and credit risk.
