Kimmo Soramäki is the founder and CEO of FNA, a software vendor specialising in mapping, modelling and visualising interconnected financial systems. Before founding FNA in 2013, he worked for 15 years in policy-making and multi-disciplinary research positions at several central banks, including the European Central Bank and the Federal Reserve Bank of New York.
A frequent contributor to academic journals in the areas of finance, operations research and statistical mechanics, Soramäki is in constant demand as a featured speaker at industry and academic conferences on topics ranging from financial technology to systemic risk. He holds a doctor of science in operations research and a master of science in economics, both from Aalto University in Helsinki.
This paper introduces the topic of network visualization to the journal by proposing the use of a combination of data reduction techniques and overlays that allow detection of large-scale patterns and outlier activity.
This paper considers a network of cross-border SWIFT message flows where nodes are the countries in which the sending and receiving banks are domiciled. The authors analyze how the payment flows reflect or predict various aspects of the real economies.