Webinar

Bloomberg Quant (BBQ) Seminar Series – March 2024

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Please register to join us virtually from 5:30 - 7:00 pm for the Bloomberg Quant (BBQ) Seminar Series, streamed live from our Bloomberg Lexington Avenue office. A link to the webcast will be emailed to you immediately upon registration. 

In this seminar chaired by Bruno Dupire, Julien Guyon, Professor of Applied Mathematics at École des Ponts ParisTech, will present the keynote, followed by “lightning talks” of 5 minutes each in quick succession.

5:30 PM
Keynote Q&A: Julien Guyon 
Professor of Applied Mathematics at  École des Ponts ParisTech 

Volatility: Rough or not? 
Rough volatility models have attracted a lot of attention since the seminal article "Volatility is rough" by Gatheral, Jaisson, and Rosenbaum (2014), who showed that these models can very parsimoniously capture some important stylized facts about volatility. Chief among them: (1) the roughness of volatility paths, and (2) the power-law term-structure of the at-the-money (ATM) skew. We reexamine these two points. While our study broadly confirms those findings, we show that (1) the roughness of volatility paths at the daily scale can also be explained by simpler non-rough Markovian models, and (2) the power-law term-structure of the ATM skew in fact fails to be valid for short maturities, where the skew does not appear to blow up. Rough volatility models, which generate such blow up, are thus inconsistent with the short-term skew. Simple non-rough models, with just one extra parameter, are shown to much better fit the whole term-structure. Our study concludes that while rough volatility is a good, natural, appealing, very parsimonious parametrization, at least one extra parameter is needed in order to disentangle the long-term (power-law) decay of spot-vol covariances from their short-term (non-blowing-up) decay. This talk is partly based on joint works with Jordan Lekeufack and Mehdi El Amrani. 
6:30 PM
Lightning Talks

- Kate O'Neill  | KO Insights 
  What AI and the weird future of money mean for human experience 

- Daniel Lam | Bloomberg 
  The reverse survivorship bias  - Alisa Rusanoff  | Crescendo Asset Management 
 "SME" as a driving force of the economy 

- Maire Therese Carmack   | Deutsche Oper Berlin and The Metropolitan Opera 
  An Introduction to the Enigmatic World of Opera

Speakers

Bruno Dupire

Global Head of Quantitative Research, CTO Office

Bloomberg

Bruno Dupire is the Global Head of Quantitative Research, CTO Office at Bloomberg, which he joined in 2004. Prior to this assignment in New York, he has headed the Derivatives Research teams at Société Générale, Paribas Capital Markets and Nikko Financial Products where he was a Managing Director. He is best known for having pioneered the widely used Local Volatility model (simplest extension of the Black-Scholes-Merton model to fit all option prices) in 1993 and the Functional Itô Calculus (framework for path dependency) in 2009. He is a Fellow and Adjunct Professor at NYU and he is in the Risk magazine “Hall of Fame”. He is the recipient of the 2006 “Cutting edge research” award of Wilmott Magazine and of the Risk Magazine “Lifetime Achievement” award for 2008. He runs and organizes the Bloomberg Quant (BBQ) seminar, the largest monthly event of this kind.

Julien Guyon

Professor of Applied Mathematics

École des Ponts ParisTech

Julien Guyon is a Professor of Applied Mathematics at École des Ponts ParisTech, one of the oldest and most prestigious French Grandes Écoles, where he holds the BNP Paribas Chair Futures of Quantitative Finance. He is also a Visiting Associate Professor in the Department of Finance and Risk Engineering at NYU Tandon, and an Adjunct Professor in the Departments of Mathematics at Columbia University and Baruch College, CUNY. Before joining École 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).  He was previously an Adjunct Professor at the Courant Institute of Mathematical Sciences, NYU; Universite Paris Diderot; and École des Ponts ParisTech. Julien serves as an Associate Editor of Finance & Stochastics, SIAM Journal on Financial Mathematics, Quantitative Finance, and Journal of Dynamics and Games. He is also a Louis Bachelier Fellow. Julien co-authored the book Nonlinear Option Pricing (Chapman & Hall, 2014) with Pierre Henry-Labordere, has published more than 25 articles in peer-reviewed journals, and is a regular speaker at international conferences, both academic and professional. His main research interests include volatility and correlation modeling, option pricing, optimal transport, and numerical probabilistic methods. A big soccer fan, Julien has also published articles on fairness in sports both in academic journals and in top-tier newspapers including The New York Times, The Times, Le Monde, and El Pais; some of his suggestions for draws, tournament design, and scheduling have been adopted by FIFA for the World Cup and by UEFA for the Euro and the Champions League.

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