Presenter: Dr. Kimmo Soramäki, Financial Network Analytics, Ltd.
About the Presentation
As the financial markets becomes more complex, traditional methodologies have failed and new ones aiming to understand the interconnected dynamics in financial markets are emerging. Dr. Kimmo Soramäki will discuss how Network Science can help map the development of interconnections in financial markets and portfolios over time, and how this can be used to identify signals and market phases. He will also show case studies for US real-estate and China hard landing.
About the Presenter
Dr. Kimmo Soramäki is the Founder of Financial Network Analytics (FNA) and the founding Editor-in-Chief of the Journal of Network Theory in Finance.
Kimmo started his career as an economist at the Bank of Finland where he developed in 1997 the first simulation model for interbank payment systems. In 2004 while at the research department of the Federal Reserve Bank of New York, he was among the first to apply methods from network theory to improve our understanding of financial systems. During the financial crisis of 2007-2008 Kimmo advised several central banks, including the Bank of England and European Central Bank, in modeling interconnections and systemic risk. This work led him to found FNA in 2010 to solve important issues around financial risk and for exploring the complex financial networks that play a continually larger role in the world around us. Kimmo holds a Doctor of Science in Operations Research and a Master of Science in Economics (Finance), both from Aalto University in Helsinki.
Kimmo’s research has focused on modeling interconnections and interdependencies in the financial system, often through modeling or analyzing data available from financial infrastructures. He has published over 30 articles in peer-reviewed journals in statistical mechanics and economics, and in the working paper series of central banks. These articles have been cited in 1000+ academic publications. A full record of his research is available at Google Scholar.