Latest in Volatility Modelling Workshop
Master the art and science of volatility modelling with leading expert Julien Guyon. Develop practical skills in model calibration, volatility surface construction, and derivatives pricing. Transform theoretical frameworks into actionable strategies for trading and risk management.
Monday 16 November

Your workshop leader
Julien Guyon | Professor of Applied Mathematics and Visiting Associate Professor | Institut Polytechnique de Paris and NYU Tandon
Julien Guyon is a professor of Applied Mathematics at École nationale des ponts et chaussées, one of the oldest and one of the most prestigious French Grandes Écoles, where he holds the BNP Paribas Chair Futures of Quantitative Finance, and a visiting associate professor in the Department of Finance and Risk Engineering at the NYU Tandon School of Engineering. He is also an adjunct professor in the Department of Mathematics at Columbia University (New York). Before joining Ecole des Ponts, Julien worked in the financial industry for 16 years, first in the Global Markets Quantitative Research team at Societe Generale in Paris (2006-2012), then as a senior quantitative analyst in the Quantitative Research group at Bloomberg L.P., New York (2012-2022). Julien was also previously an adjunct professor at the Courant Institute of Mathematical Sciences, NYU; at Baruch College, City University of New York; at Université Paris Diderot; and at École nationale des ponts et chaussées.
Workshop breakdown
Important facts about volatility and early models
- The different types of volatility and volatility derivatives
- The volatility smile and the term-structure of equity at-the-money skew
- Stylized facts of volatility
- Volatility modeling: a brief history
- Black-Scholes: P&L analysis and an insightful hedging quiz
- Links between spot volatility, local volatility, and implied volatility
- Static v. dynamic properties of volatility models
- Local volatility
Stochastic volatility
- Stochastic volatility models
- Variance curve models
- The smile of stochastic volatility models
- Stochastic local volatility
- Rough volatility
Path-dependent volatility
- Empirical evidence
- Path-dependent volatility models in continuous time
- Path-dependent volatility models in discrete time
Calibration of volatility models
- Stochastic local volatility: The particle method for smile calibration
- Calibration of multi-asset volatility models: local volatility/correlation, cross-dependent volatility/correlation
- Exact joint S&P 500/VIX smile calibration by entropy minimization
- P- and Q-calibration of path-dependent volatility models
