FNA CEO, Kimmo Soramäki, will be leading the Central Banking training “Network Analytics, Big Data and Machine Learning in RegTech and SupTech” in Singapore on the 2nd and 3rd September. Taking place immediately before the Central Banking FinTech & RegTech Global Summit, Central Banking and Kimmo Soramäki have designed this two-day training course to provide practitioners with […]
The increasing availability of data demands for techniques to filter information in large complex networks of interactions. A number of approaches have been proposed to extract network backbones by assessing the statistical significance of links against null hypotheses of random interaction. Yet, it is well known that the growth of most real-world networks is non-random, […]
Journal of Network Theory in Finance A network-based method for visual identification of systemic risks Samantha Cook, Kimmo Soramäki and Alan Laubsch “Financial markets provide vast numbers of signals about the performance of companies, banks, assets and economies. These signals can be used by risk managers and regulators to better understand economic dependencies, correlations and phase transitions. In […]
By Samantha Cook & Kimmo Soramäki. The paper, ‘The Global Network of Payment Flows‘, offers a descriptive analysis of Payment Networks created by SWIFT MT 103 messages. SWIFT MT 103 messages are the most commonly sent SWIFT message types and provide a valuable measure of global economic activity. Within the payment network, nodes represent countries. […]
We are delighted to announce that our FNAtics Adam Csabay, Kimmo Soramäki, and Ivana Ruffini have been invited to contribute to Risk.net’s newest title ‘Data Science in Economics and Finance for Decision Makers’. This in depth guide to the future of data and modelling provides the latest insights on data-science tools and methods. A must-read […]
