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Neural networks for option pricing and hedging: a literature review

Neural networks for option pricing and hedging: a literature review

13 November 2019
Johannes Ruf
Weiguan Wang
ArXivPDFHTML

Papers citing "Neural networks for option pricing and hedging: a literature review"

18 / 18 papers shown
Title
Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
Joao Felipe Gueiros
Hemanth Chandravamsi
Steven H. Frankel
23
0
0
25 Apr 2025
Experimental Analysis of Deep Hedging Using Artificial Market
  Simulations for Underlying Asset Simulators
Experimental Analysis of Deep Hedging Using Artificial Market Simulations for Underlying Asset Simulators
Masanori Hirano
33
0
0
15 Apr 2024
American Option Pricing using Self-Attention GRU and Shapley Value
  Interpretation
American Option Pricing using Self-Attention GRU and Shapley Value Interpretation
Yanhui Shen
32
0
0
19 Oct 2023
Pricing European Options with Google AutoML, TensorFlow, and XGBoost
Pricing European Options with Google AutoML, TensorFlow, and XGBoost
J. Berger
11
0
0
02 Jul 2023
Deep Calibration With Artificial Neural Network: A Performance
  Comparison on Option Pricing Models
Deep Calibration With Artificial Neural Network: A Performance Comparison on Option Pricing Models
Y. S. Kim
H. Kim
Jaehyung Choi
10
2
0
15 Mar 2023
Beyond Surrogate Modeling: Learning the Local Volatility Via Shape
  Constraints
Beyond Surrogate Modeling: Learning the Local Volatility Via Shape Constraints
Marc Chataigner
Areski Cousin
Stéphane Crépey
M. Dixon
Djibril Gueye
19
8
0
20 Dec 2022
Deep neural network expressivity for optimal stopping problems
Deep neural network expressivity for optimal stopping problems
Lukas Gonon
13
6
0
19 Oct 2022
Chaotic Hedging with Iterated Integrals and Neural Networks
Chaotic Hedging with Iterated Integrals and Neural Networks
Ariel Neufeld
Philipp Schmocker
33
10
0
21 Sep 2022
Solving the optimal stopping problem with reinforcement learning: an
  application in financial option exercise
Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise
L. Felizardo
E. Matsumoto
E. Del-Moral-Hernandez
10
2
0
21 Jul 2022
Pricing options on flow forwards by neural networks in Hilbert space
Pricing options on flow forwards by neural networks in Hilbert space
F. Benth
Nils Detering
Luca Galimberti
19
7
0
17 Feb 2022
A Quantum Generative Adversarial Network for distributions
A Quantum Generative Adversarial Network for distributions
Amine Assouel
A. Jacquier
A. Kondratyev
GNN
GAN
OOD
45
17
0
04 Oct 2021
Backdoor Attack and Defense for Deep Regression
Backdoor Attack and Defense for Deep Regression
Xi Li
G. Kesidis
David J. Miller
V. Lucic
AAML
11
6
0
06 Sep 2021
Random feature neural networks learn Black-Scholes type PDEs without
  curse of dimensionality
Random feature neural networks learn Black-Scholes type PDEs without curse of dimensionality
Lukas Gonon
18
35
0
14 Jun 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
KrigHedge: Gaussian Process Surrogates for Delta Hedging
KrigHedge: Gaussian Process Surrogates for Delta Hedging
M. Ludkovski
Yuri F. Saporito
35
5
0
16 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
31
79
0
17 Sep 2020
Robust pricing and hedging via neural SDEs
Robust pricing and hedging via neural SDEs
Patryk Gierjatowicz
Marc Sabate Vidales
David Siska
Lukasz Szpruch
Zan Zuric
14
34
0
08 Jul 2020
On Calibration Neural Networks for extracting implied information from
  American options
On Calibration Neural Networks for extracting implied information from American options
Shuaiqiang Liu
Álvaro Leitao
Anastasia Borovykh
C. Oosterlee
11
3
0
31 Jan 2020
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