Key speakers:
Dr. Kimmo Soramaki
Joi 15 Iunie ora 18.00
Facilitatori Alexandru Voicu - Portofolio Manager Certinvest SAI
Mugurel Stan
Kimmo Soramaki si compania sa Financial Network Analytics sunt cunoscuti pentru contributia lor in constructia unui instrument de cartografiere a riscurilor financiare sistemice in Banca Centrala a Columbiei.
Modelul mai fusese folosit de Bank of England sau de U.S. Office of Financial Research care foloseau modelele lor de cartografiere a retelelor de bănci, administratori de bani și case de compensare pentru a studia modul în care șocurile majore, cum ar fi falimentul unei bănci sau, de exemplu, o decizie a Bancii Centrale Elvetiene de a abandona legătura valutară cu dolarul s-ar propagă prin intermediul sistemului financiar
Cat suntem de expusi complexitatii si supraconectarii?!
Kimmo a creat o fabuloasa harta a preturilor caselor din Statele Unite pentru a demonstra puterea tehnologiei sale, si a studiat o evolutie a lor din 2000 pana in prezent.
Inainte sa lucreze pentru propria companie, Kimmo Soramäki a lucrat pentru Bank of Finland si New York Federal Reserve.
Cine este Kimmo Soramaki?
Kimmo Soramäki
is the Founder and CEO of Financial Network Analytics (FNA)
and the Founding Editor-in-Chief of the Journal of Network Theory in Finance.
Kimmo Soramäki
is the Founder and CEO of Financial Network Analytics (FNA)
and the Founding Editor-in-Chief of the Journal of Network Theory in Finance.
Short Bio
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 2013 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.
ABSTRACT
Dr Kimmo Soramäki will speak about how network science combined with advanced data visualization can be used to model and understand complex systems in economics and finance. The talk draws from his research and consulting work with several central banks and financial institutions in Europe the US.
Topics covered include:
- monitoring complex systems
- understanding large dynamic correlation structures
- stress testing with correlation networks
- systemic risk analysis with networks
- network algorithms in clearing and settlement
- improving fraud detection & AML with graph analytics
- detecting cyber threats
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 2013 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.
ABSTRACT
Dr Kimmo Soramäki will speak about how network science combined with advanced data visualization can be used to model and understand complex systems in economics and finance. The talk draws from his research and consulting work with several central banks and financial institutions in Europe the US.
Topics covered include:
- monitoring complex systems
- understanding large dynamic correlation structures
- stress testing with correlation networks
- systemic risk analysis with networks
- network algorithms in clearing and settlement
- improving fraud detection & AML with graph analytics
- detecting cyber threats
