Eduardo Viegas

情報・人工知能研究

Eduardo Viegas

特定准教授

ComplexityFinancial Markets and Economic SystemsMathematical FinanceEvolutionary Dynamics

略歴

Eduardo is a researcher at the Centre for Complexity Science, Imperial College London. He also works within the financial services industry, developing quantitative methods for risk management and portfolio investment strategies.
His research is centred on the Financial Risk of Complex Systems, and it is fundamentally inspired by S. J. Gould’s structure of evolutionary theory and von Neumann’s automata theory. This effectively translates into constructing methods and frameworks centred on the development and implementation of evolutionary dynamic, nature inspired, quantitative methods to enhance the identification - and mitigation - of systemic, market, credit and liquidity risks within the financial markets and economic systems.
He has nearly 30 years of experience within the global financial services industry in the development and implementation of mathematical finance models and stochastic analysis to enable valuation and pricing of cash and derivative financial instruments, risk quantification strategies, and trade structuring.
Among past positions, he was the Head of Risk, Valuation and Governance of Lehman Brothers International Europe since its first day of administration, as well as the Head of Model Risk Methodologies for PwC’s Financial Services Risk and Regulation practice, and the Leader for the European Structured Finance Group for PwC’s Eurofirms.

WRHIへの期待

To interact and collaborate with remarkable world researchers - with uniquely diverse academic traditions and background - in order to dialogically share new ideas and theories. Through this process, to contribute to the dissemination of complexity inspired methods to a wider audience within the financial industry and capital markets.

研究プロジェクト

  • The dynamics of bankruptcy of companies as a result of ‘Punctuated Equilibrium’ events

    The research adopts a framework where companies are equivalent to nested organisms which are released into the wider environment upon bankruptcy. When comparing to real data, we aim to quantify and to better understand the impact of such dynamics to the resilience of the economic and financial systems.
    Periods: 2020-2022
    Members: Imperial College London, Tokyo Institute of Technology, Teikoku Databank

    Complexity ScienceFinancial Risk ManagementEvolutionary DynamicsMathematical FinanceFinancial Markets and Economic Systems

  • An evolutionary theory for the development of resilient economic systems

    Periods: 2017-
    Members: the Centre for Complexity Science at Imperial College London, Tokyo Institute of Technology, Teikoku Databank

2020-現在

東京工業大学科学技術創成研究院 特定准教授

2017-現在

Associate member of  the Centre for Complexity Science, Imperial College London

2016-現在

Founder of the quantitative analytics firm Risk and Complexity Laboratory Limited

2008-2016

Head of Risk, Valuation and Governance of Lehman Brothers International Europe

2001-2007

Leader of the European Structured Finance Group for PwC’s Eurofirms

1991 - 2001

Financial Services Consultant, PwC United Kingdom

2020

Viegas, E.; Goto, H.; Kobayashi, Y.; Takayasu, M.; Takayasu, H.; Jensen, H.J. Allometric Scaling of Mutual Information in Complex Networks: A Conceptual Framework and Empirical Approach. Entropy 202022, 206.

2019

Viegas, E.; Goto, H.; Takayasu M.; Takayasu, H.; Jensen, H.J. Assembling real networks from synthetic and unstructured subsets: the corporate reporting case. Scientific Reports 20199 (11075).

2014

Viegas E.; Jensen H.J.; West G.B. The Wall Street jungle deconstructed. New Scientist, 2014, 224(2993):28-29.

2014

Viegas E., Cockburn S.P., Jensen H. J. and West G.B. The dynamics of mergers and acquisitions: ancestry as the seminal determinant. Proceedings of the Royal society A, 2014, 470:20140370.

2013

Viegas E., Takayasu M., Miura W., Tamura K., Ohnishi T., Takayasu H. and Jensen H.J. Ecosystems perspective on financial networks: Diagnostic tools Complexity, 2013 19( 1):22–36.