Monica Billio is Full Professor of Econometrics at Ca’ Foscari University of Venice. She holds a PhD in Applied Mathematics at the University Paris Dauphine. Her main research interests include financial econometrics; risk management; business cycle analysis; systemic risk, financial stability and sustainable finance. She is participating in many research projects financed by the European Commission, World Bank, European Investment Bank, Eurostat and the Italian Ministry of Research (MIUR). She has been the scientific coordinator of the SYRTO EU-FP7 project devoted to systemic risk measurement, the coordinator of the H2020 project TrAnsparEEns dedicated to the development of ESG ratings for small and medium enterprises, and the local coordinator of five European projects on Energy Efficiency investments (EeMAP, EeDaPP, EeMMIP, ENGAGE and DeliverEEM). Currently, she is responsible of the Sustainable Finance workpage of the Italian NextGenerationEU program GRINS (Growing Resilient INclusive and Sustainable) and coordinator of a DG Reform Technical Support Initiative (ESG Uptake - ESG risk management framework for the financial sector). The results of these and other research projects have appeared in peer-refereed journals including Journal of Econometrics, Journal of Financial Economics, Journal of Applied Econometrics, Journal of Business and Economics Statistics, Journal of the American Statistical Association. Professor Billio has been Head of the Treviso Branch and Head of the Department of Economics of Ca’ Foscari University. She is currently coordinator of the Master Degree Programme in Economics, Finance and Sustainability and member of the Academic Senate of Ca’ Foscari University of Venice. She is Fellow of the Institut Louis Bachelier (Paris) and Research Fellow of the Leibniz Institute SAFE (Frankfurt). She has been a member of the BoD of Farbanca, Contarina and Banco delle Tre Venezie. She is currently member of the BoD of Banca Ifis S.p.A., Ifis NPL Investing, GRINS Foundation, Veneto Sviluppo S.p.A. and Finergis Confidi.
Geopolitical shocks don’t wait for market hours—so why should your models? This session dives deep into the high-stakes world of global instability, where central bank pivots, elections, sanctions, and conflict send tremors through asset classes. Discover how today’s most advanced quant strategies are decoding the chaos, translating policy shifts into pricing signals, and safeguarding alpha in an unpredictable macro landscape.
Proposed panel discussion questions:
1. How can quant teams distinguish between noise and signal in real-time geopolitical events?
2. What models or data sets are most effective for capturing policy shocks and forecasting asset class reactions?
3. How can portfolio managers build dynamic hedging strategies that account for regime shifts and geopolitical volatility?
4. Are we nearing a future where LLMs or real-time sentiment analytics replace traditional macro risk modelling?
Check out the incredible speaker line-up to see who will be joining Monica.
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