3. Econophysics
Workshop organized by: L. Pietronero "Economic Complexity" and T. Aste "Finance, Risk"
I) Economic Complexity
L. Pietronero (ISC-CNR and Sapienza University, Rome, Italy)
The increasing interconnectedness and the growing complexity of economic and financial systems have challenged mainstream economic theories. The subprime financial crisis, the following economic recession in western countries and the slow recovery from stagnacy have dramatically showed how crucial is for the future of our society a paradigm shift of the present economic thinking in the direction of more concrete scientific grounding of this discipline. In contrast to standard approach we need that the new economic thinking should be strongly data-driven in order to scientifically ground and test economic theories. Present economic theories which have been introduced over the years are now considered as global paradigms which compete one against the other as ideologies with the underlying idea that each of them could be right in any economic scenario. A more scientific foundation of economic thinking instead will lead to a scenario in which the various theories can be more or less suitable depending on the particular situation of economy as it happens in Natural Sciences. In this perspective, concepts as market efficiency and the degree of coupling between Finance and Economy could be tested, falsified and even quantitatively assessed. The present workshop is intended to cover contributions in the areas of Economics and Finance which can give a contribution along the lines exposed.
II) Finance and Risk
T. Aste (UCL Computer Science, London, UK)
This workshop session aims to bring together academics and practitioners from various disciplines to debate and communicate ideas from statistical physics, finance, economics, mathematics, computer science and complexity studies.
The workshop session main topics include:
- econophysics
- statistical and probabilistic methods in economics and finance
- financial networks
- fractal and multifractal analysis and modeling
- dependency and causality measures for complex financial data
- peer-to-peer financial networks and new finance
- news, sentiment and financial dynamics
- modeling uncertainty
- risk measures
- financial big-data analytics
- high frequency financial dynamics
- agent-based models
- evolutionary game theory
Invited Speakers
Battison S. (University of Zurich UZH, Zurich, Switerland)
Bianconi G. (Queen Mary London, United Kingdom)
Caldarelli G. (IMT Lucca, Italy)
Chiarotti G. (ISC-CNR Istituto dei Sistemi Complessi, Roma, Italy)
Cimini G. (ISC-CNR Istituto dei Sistemi Complessi, Roma, Italy)
Cristelli M. (ISC-CNR Istituto dei Sistemi Complessi, Roma, Italy)
Di Clemente R. (IMT Lucca, Italy)
DI Matteo T. (King's College, London, United Kingdom)
Garlaschelli D. (Leiden Institute of Physics, Leiden, Netherlands)
Germano G. (University College, London, United Kingdom)
Iori G. (City University, London, United Kingdom)
Livan G. (University College, London, United Kingdom)
Olsen R. (University of Essex, Colchester, United Kingdom)
Pugliese E. (ISC-CNR Istituto dei Sistemi Complessi, Roma, Italy)
Saracco F. (ISC-CNR Istituto dei Sistemi Complessi, Roma, Italy)
Tacchella A. (Sapienza, Università di Roma and ISC-CNR, Roma, Italy)
Takayasu M. (Tokyo Tech, Tokyo, Japan)
Takayasu H. (Sony Computer Science Laboratories, Tokyo, Japan)
Tasca P. (Bundesbank Frankfurt, Germany and London School of Economics, United Kingdom)
Vodenska I. (Boston University Boston United States)
Zaccaria A. (ISC-CNR Istituto dei Sistemi Complessi, Roma, Italy)
