Weekly Bulletin

The FIM provides a Newsletter called FIM Weekly Bulletin, which is a selection of the mathematics seminars and lectures taking place at ETH Zurich and at the University of Zurich. It is sent by e-mail every Tuesday during the semester, or can be accessed here on this website at any time.

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FIM Weekly Bulletin

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Monday, 12 June
Time Speaker Title Location
10:00 - 11:00 Christoph Frei
University of Alberta
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Principal Trading Arrangements: Optimality under Temporary and Permanent Price Impact
HG G 3
11:00 - 12:00 Peter Tankov
ENSAE ParisTech
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Decarbonization of large financial markets
HG G 3
14:00 - 15:00 Freddy Delbaen
ETH Zürich
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Replacing uncorrelated variables with independent ones
HG G 3
15:00 - 16:00 Sigrid Källblad
KTH
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Adapted Wasserstein distance between the laws of SDEs
HG G 3
16:30 - 17:30 Walter Schachermayer
Universität Wien
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
A regularized Kellerer Theorem in arbitrary dimension
HG G 3
Tuesday, 13 June
Time Speaker Title Location
09:00 - 10:00 Kostas Kardaras
London School of Economics
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Portfolio choice under taxation and expected market time constraint
HG G 3
10:30 - 11:30 Giulia Di Nunno
University of Oslo
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Sandwiched Volterra volatility models and option pricing
HG G 3
11:30 - 12:30 Dylan Possamaï
ETH Zürich
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Moral hazard for time-​inconsistent agents, BSVIEs and stochastic targets
HG G 3
14:00 - 15:00 Alexander Schied
University of Waterloo
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Estimating the roughness of stochastic volatility from discrete observations of the quadratic variation
HG G 3
15:00 - 16:00 Marc Hoffmann
Université Paris-Dauphine (Paris 9)
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
A statistical theory for rough volatility inference
HG G 3
16:30 - 17:30 Mathias Beiglböck
Universität Wien
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Adapted Wasserstein distance and stability in finance
HG G 3
Wednesday, 14 June
Time Speaker Title Location
09:00 - 10:00 Yuri Kabanov
Université de Franche-Compté
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Optimal control problems in decentralized finance
HG G 3
10:30 - 11:30 Eckhard Platen
University of Technology, Sydney
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Principles for the Long-​term Modelling of Continuous Markets
HG G 3
11:30 - 12:30 Claudio Fontana
Università degli Studi di Padova
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Term structure modelling with overnight rates beyond stochastic continuity
HG G 3
13:30 - 15:00 Dr. Hannah Larson
Harvard
Abstract
Brill--Noether theory studies the maps of general curves to projectivespaces. The embedding theorem of Eisenbud and Harris states that a general degree d map C to P^r is an embedding when r is at least 3. Hurwitz--Brill--Noether theory starts with a curve C already equipped with a fixed map C to P^1 (which often forces C to be special) and then studies the maps of C to other projective spaces. In this setting, the appropriate analogue of the invariants d and r is a finer invariant called the splitting type. Our embedding theorem determines the splitting types \vec{e} such that a general map of splitting type \vec{e} is an embedding. This is joint work with Kaelin Cook--Powel, Dave Jensen, Eric Larson, and Isabel Vogt.
Algebraic Geometry and Moduli Seminar
The embedding theorem in Hurwitz-Brill-Noether theory
HG G 43
Thursday, 15 June
Time Speaker Title Location
09:00 - 10:00 Francesca Biagini
Ludwig-Maximilians-Universität München
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Deep learning for superhedging prices’ approximation and asset price bubbles’ detection
HG G 3
10:30 - 11:30 Nicole Bäuerle
Karlsruher Institut für Technologie
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Optimal investment in ambiguous financial markets with learning
HG G 3
11:30 - 12:30 Huyên Pham
Université Paris-Diderot (Paris 7)
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Generative modeling for time series via Schrödinger bridge
HG G 3
14:00 - 15:00 Masaaki Fukasawa
Osaka University
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Model-​free Hedging of Impermanent Loss in Geometric Mean Market Makers
HG G 3
15:00 - 16:00 Dirk Becherer
Humboldt-Universität zu Berlin
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
On Feedback Effects in Hedging to Optimal Liquidation and Back
HG G 3
15:15 - 16:15 Sylvain Robert
EPFL, Lausanne
HG G 19.1
16:30 - 17:30 Xin Guo
University of California, Berkeley
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
MF-​OMO: An Optimization Formulation of Mean-​Field Games
HG G 3
Friday, 16 June
Time Speaker Title Location
09:00 - 10:00 Thorsten Rheinländer
Technische Universität Wien
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
On a stochastic heat equation with multiplicative noise and an explicit local time solution
HG G 3
10:30 - 11:30 Pierre Bouchard
Université Paris-Dauphine (Paris 9)
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Some regularity results for a class of PPDE and applications
HG G 3
11:30 - 12:30 Martin Herdegen
University of Warwick
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Optimal Investment and Consumption with Epstein-​Zin Stochastic Differential Utility and Proportional Transaction Costs
HG G 3
14:00 - 15:00 Patrick Cheridito
ETH Zürich
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Variable annuities with high water mark withdrawal benefit
HG G 3
15:00 - 16:00 Hans Föllmer
Humboldt-Universität zu Berlin
Abstract
Conference: Stochastic optimal control in Economics, Finance, and Learning theory
Optimal Couplings, Entropy bounds, and Risk Measures on Wiener Space
HG G 3
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