When: 2020-09-18 13:00-19:30 CET
Where: NetSci2020 online
New challenges facing today's financial and regulatory institutions requires multidisciplinary problem-solving that leverages methodologies from both complex network analysis and data science. Quantitative analysis has equipped financial companies to make smarter decisions and to more accurately predict future returns on their investments; however, innovative methodologies are required to tackle complex finance problems such as systematic risks, the impact of financial contagions, evaluating the resilience of these systems and predicting, quantifying and controlling the inter-related or second-order effects during a crisis. Networks constitute a formidable tool for the analysis of these kinds of issues. Economic and financial systems are examples of networked systems, being characterized by the interaction of many heterogeneous units (the nodes), through more or less complex interconnection patterns (the links): examples are provided by networks of banks, stocks, companies, countries, industries, products.
This satellite aims at bridging the gap between the fields of complex networks theory and finance by bringing together experienced researchers and young scholars interested in interdisciplinary research to discuss state-of-the-art work, share knowledge and create opportunities for novel and fruitful collaborations. Further, we intend to bring cutting-edge academic research in contact with industry experience and impact. From a purely methodological perspective, instead, the approach pursued by applying the tools rooted into theoretical physics seems to represent the most promising avenue to gain insight into the behavior of economic and financial systems: for this reason, this satellite seeks abstracts employing methods developed into statistical mechanics, information theory and, more in general, complex systems.
Submit abstracts for contributed talks on topics such as:
Big data in economics and finance;
Network representation of economic and financial systems (e.g. credit networks, asset
ownership networks, price correlation networks, transaction or monetary networks, production networks, trade networks).
Statistical and probabilistic methods in economics and finance (information theory, random matrix theory, etc.).
Agent-based models of economic and financial systems;
Economic and financial time-series analysis;
Market dynamics;
Early-warning signals detection;
Reconstruction of financial and economic networks;
Systemic risk analysis and policy implications.
Interdependencies between economic and financial networks across different scales;
News- and sentiment-driven dynamics of economic and financial systems;
Economic Complexity.
Abstracts should be submitted via EasyChair by 5 August, 2020.
Submitted abstracts should be one page with ideally one figure.
Full conference website and registration: netsci2020.netscisociety.net
Tomaso Aste (Professor, University College London)
Stefano Battiston (Professor, University of Zurich)
Monica Billio (Professor, University of Venice “Ca’ Foscari”)
Fabio Caccioli (Professor, University College London)
Daniel Fricke (Senior Economist, Deutsche Bundesbank)
Teruyoshi Kobayashi (Professor, Kobe University)
Irena Vodenska (Professor, University of Boston)
13.00 - Two types of densification scaling in social and financial networks, Teruyoshi Kobayashi, Professor at Kobe University
13.45 - Money walks: rethinking the velocity of money for cryptocurrency systems, Carlo Campajola, Scuola Normale Superiore di Pisa ( carlo.campajola@sns.it)
14.00 - TBA, Stefano Battiston, Professor at University of Zurich
14.45 - Connected (and Vulnerable) Funds , Daniel Fricke, Senior Economist at Deutsche Bundesbank
15.30 - Break
15.45 - Production networks and epidemic spreading: How to restart the UK economy?, Marco Pangallo, Scuola Sant'Anna di Pisa ( marco.pangallo@santannapisa.it)
16.00 - Modeling Fire Sale Contagion Across Banks and Non-Banks, Amanah Ramadiah, University College London ( amanahramadiah@gmail.com)
16.15 - From Tulips to Raging Bulls: Crises are Viral, Irena Vodenska, Professor at University of Boston
17.00 - Backtesting macroprudential stress tests, Fabio Caccioli, Professor at University College London
17.45 - Break
18.00 - Bayesian Dynamic Tensor Regression for multilayer economic and financial networks, Roberto Casarin, Professor at University of Venice “Ca’ Foscari”
18.45 - An analysis of network filtering methods to sovereign bond yields during COVID-19, Oscar Mauricio Granados Erazo, Universidad de Bogotà Jorge Mateo Lozano ( oscarm.granadose@utadeo.edu.co)
19.00 - Data-driven modelling of socioeconomic systems with networks , Tomaso Aste, Professor at University College London
This workshop is presented as a collaboration between two workshop series:
Azadeh Nematzadeh — S&P Global Ratings
Tiziano Squartini — IMT Lucca
Clayton Davis — S&P Global Ratings
Fabio Saracco — IMT Lucca
Jingjing Feng — S&P Global Ratings
Naoki Masuda — SUNY Buffalo
Paulo Barucca — University College London
azadeh dot nematzadeh at spglobal dot com
We wish to thank the operating office of S&P Global Ratings for the generous support to make this workshop possible.