Summary
What if the key to understanding today’s financial challenges lies in the way real-estate prices have shifted over the past decades?
This event explores how property market dynamics have shaped society and the economy over the last 30 years. From long-term international trends in real-estate pricing to cutting-edge methodologies in property valuation, participants will gain insights that are directly relevant to risk management, capital planning, and internal modeling practices.
What you’ll gain from this event:
- Evolution of real-estate prices across 14 countries since the 1980s
- Current advances in real-estate Automated Valuation Models (AVMs)
- Hedonic pricing models
- Implications for credit risk, capital management, and regulatory frameworks
Presenters
- Nicolas Houlie, Independent Researcher and Consultant in Financial Risk, Regulatory and Governance Issues, and Data Analysis
After receiving a Ph.D. degree in geophysics from the Institut de Physique du Globe de Paris in 2005, Nicolas Houlié joined the Berkeley Seismological Laboratory, University of California, Berkeley, CA, USA, to develop a series of innovative approaches to combine GPS and seismic measurements over various time scales ranging from minutes to years. In 2009, he joined the University of Leeds (UK), where he worked on combining GPS velocity field with other data sets (e.g., shear wave splitting, gravity data, moment tensor catalogues) to investigate the coupling between asthenosphere and lithosphere properties at various time scales (i.e., from decades to millions of years) close to fault systems (e.g., New Zealand, California, Switzerland, and British Isles). In 2012, he joined the Seismology and Geodynamics Group at the Institute of Geophysics of ETH Zurich, where he led research focusing on the characterization of the seismic activity using GPS and developed methodologies to constrain the volcanic activity using tree growth. From 2017, he worked at Bank Vontobel AG in the Market Risk Control team before joining the FINMA to assess the credit risk models for G-SIBs. Nicolas is an independent researcher and consultant in financial risk (market and credit), regulatory and governance issues, and data analysis. He recently focused on explaining the dynamics of bitcoin and real estate prices, as well as the stability of the French pension system. - Nicola Stalder, Chief Data & Analytics Officer at IAZI AG / CIFI SA
Nicola Stalder is Chief Data & Analytics Officer and a member of the Executive Board at IAZI AG/CIFI SA, a leading provider of real estate market analyses, property valuations, benchmarking tools, real estate indices, and advanced software solutions for portfolio management and mortgage lending. Stalder holds a Master of Science in Corporate Finance and Quantitative Methods from the University of Bern. His academic research has focused on the potential of public data and explainable AI for hedonic real-estate valuation. His academic research has focused on the potential of public data for hedonic real-estate valuation, a topic he explored in his master’s thesis project.As an expert in Automated Valuation Models (AVMs) and hedonic pricing methods, he brings deep knowledge of quantitative approaches to property markets. Through his leadership at IAZI, he integrates data science and financial modeling to drive innovation in real-estate analytics, supporting more accurate valuations and better decision-making across the industry.
Introduced by Anton Seidel, Co-Chair Analytical Methods Chapter and Financial Markets Reinsurance at SwissRe, and moderated by Evren Baydar, Chapter Advisor Analytical Methods, and Head of Model Risk Management at Julius Baer.
Agenda
17:45 Arrival & Name Tag Collection
18:00 Welcome and Introduction (Anton Seidel and Evren Baydar)
18:15 Project presentation (Nicolas Houlie and Nicola Stalder)
19:00 Panel with all the speakers and Q&A
19:25 Conclusion (Anton Seidel)
19:30 Networking Drinks
20:30 End
Chapter Event
As chapters evolve, synergies are found and the focus of our topics change, we will combine chapter “Risk Analytics and Models” and Stress Testing and Scenario Generation” into the new chapter “Analytical Methods”. We explore analytical approaches to risk management, with a focus on practical applications. Our chapter provides practitioners with a stage to share their latest ideas, tools and methods.
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Real-Estate in Motion: from Price Histories to Predictive Models
8. October 2025
18:00 - 20:30