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FNA CEO, Kimmo Soramäki, to lead Central Bank Network Analytics training course in Singapore – 2nd and 3rd Sept

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 […]

Nature Magazine publishes FNA research on network analysis

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

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 […]

The Global Network of Payment Flows

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. […]

Risk.net: Data Science in Economics and Finance for Decision Makers

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 […]
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