FS Stochastische Analysis und Stochastik der Finanzmärkte
Bereich für Stochastik
P. BANK, Ch. BAYER, D. BECHERER, P. FRIZ, U. HORST, D. KREHER
- Das Seminar findet an der TU Berlin, Institut für Mathematik, Raum MA 042 (Straße des 17. Juni 136) statt.
- Zeit: Donnerstag, 16 Uhr c.t. / 17 Uhr c.t.
18.04.2024 16. Uhr c.t. |
Alexandre Pannier (Université Paris Cité) A path-dependent PDE solver based on signature kernels
Abstract: We develop a provably convergent kernel-based solver for path-dependent PDEs (PPDEs). Our numerical scheme leverages signature kernels, a recently introduced class of kernels on path-space. Specifically, we solve an optimal recovery problem by approximating the solution of a PPDE with an element of minimal norm in the signature reproducing kernel Hilbert space (RKHS) constrained to satisfy the PPDE at a finite collection of collocation paths. In the linear case, we show that the optimisation has a unique closed-form solution expressed in terms of signature kernel evaluations at the collocation paths. We prove consistency of the proposed scheme, guaranteeing convergence to the PPDE solution as the number of collocation points increases. Finally, several numerical examples are presented, in particular in the context of option pricing under rough volatility. Our numerical scheme constitutes a valid alternative to the ubiquitous Monte Carlo methods. Joint work with Cristopher Salvi (Imperial College London).
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18.04.2024 17 Uhr c.t.
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Nils Detering (Universität Düsseldorf) Local Volatility Models for Commodity Forwards
Abstract: We present a dynamic model for forward curves in commodity markets, which is defined as the solution to a stochastic partial differential equation (SPDE) with state-dependent coefficients, taking values in a Hilbert space H of real valued functions. The model can be seen as an infinite dimensional counterpart of the classical local volatility model frequently used in equity markets. We first investigate a class of point-wise operators on H, which we then use to define the coefficients of the SPDE. Next, we derive growth and Lipchitz conditions for coefficients resulting from this class of operators to establish existence and uniqueness of solutions. We also derive conditions that ensure positivity of the entire forward curve. Finally, we study the existence of an equivalent measure under which related traded, 1-dimensional projections of the forward curve are martingales. |
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02.05.2024 17 Uhr c.t. |
Katharina Oberpriller (Universität München) Reduced-form framework and affine processes with jumps under model uncertainty
Abstract: We introduce a sublinear conditional operator with respect to a family of possibly non-dominated probability measures in presence of multiple ordered default times. In this way we generalize the results in [3] where a consistent reduced-form framework under model un-certainty for a single default is developed. Moreover, we present a probabilistic construction of Rd-valued non-linear affine processes with jumps, which allows to model intensities in a reduced-form framework. This yields a tractable model for Knightian uncertainty for which
the sublinear expectation of a Markovian functional can be calculated via a partial integro-differential equation. This talk is based on [1] and [2]. |
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02.05.2024
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N.N.
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16.05.2024 16 Uhr c.t.
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Deloitte-Präsentation
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16.05.2024
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N.N.
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30.05.2024 16 Uhr c.t.
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Marko Weber (National University of Singapore) tba
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30.05.2024 17 Uhr c.t. |
Shige Peng (Shandong University) tba
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13.06.2024 16 Uhr c.t. |
Likai Jiao (HU Berlin) tba
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13.06.2024 17 Uhr c.t.
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N.N.
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27.06.2024 16 Uhr c.t. |
Libo Li (UNSW Sydney) tba
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27.06.2024 17 Uhr c.t. |
Benjamin Jourdan (University of Paris-Est) tba
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11.07.2024 16 Uhr c.t.
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Tiziano de Angelis (University of Turin) tba
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11.07.2024 17 Uhr c.t.
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Jianniao Qui (University of Calgary) tba
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Interessenten sind herzlich eingeladen.
Für Rückfragen wenden Sie sich bitte an:
Frau Sabine Bergmann
bergmann@math.hu-berlin.de
Telefon: 2093 45450
Telefax: 2093 45451