Robust pricing and hedging via neural stochastic differential equations
Year of publication: |
2022
|
---|---|
Authors: | Gierjatowicz, Patrick ; Sabate-Vidales, Marc ; Siska, David ; Szpruch, Łukasz ; Žurič, Žan |
Published in: |
The journal of computational finance. - London : Infopro Digital Risk, ISSN 1460-1559, ZDB-ID 1433009-X. - Vol. 26.2022, 3, p. 1-32
|
Subject: | stochastic differential equations (SDEs) | deep neural network | derivative pricing | stochastic gradient descent (SGD) | neural stochastic differential equations | Stochastischer Prozess | Stochastic process | Neuronale Netze | Neural networks | Analysis | Mathematical analysis | Hedging | Optionspreistheorie | Option pricing theory | Derivat | Derivative | Mathematische Optimierung | Mathematical programming |
-
Liang, Jian, (2021)
-
Pricing options on flow forwards by neural networks in a Hilbert space
Benth, Fred Espen, (2024)
-
Kremsner, Stefan, (2020)
- More ...
-
Sig-Wasserstein GANs for conditional time series generation
Liao, Shujian, (2024)
-
Unbiased deep solvers for linear parametric PDEs
Sabate Vidales, Marc, (2021)
-
Robust Pricing and Hedging via Neural SDEs
Gierjatowicz, Patryk, (2020)
- More ...