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Neural networks for option pricing and hedging: a literature review
v1v2 (latest)

Neural networks for option pricing and hedging: a literature review

13 November 2019
Johannes Ruf
Weiguan Wang
ArXiv (abs)PDFHTML

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

16 / 16 papers shown
Title
Deep Hedging: Learning to Simulate Equity Option Markets
Deep Hedging: Learning to Simulate Equity Option Markets
Magnus Wiese
Lianjun Bai
Ben Wood
Hans Buehler
GAN
79
69
0
05 Nov 2019
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GANAI4TSAIFin
72
279
0
15 Jul 2019
Deep splitting method for parabolic PDEs
Deep splitting method for parabolic PDEs
C. Beck
S. Becker
Patrick Cheridito
Arnulf Jentzen
Ariel Neufeld
64
127
0
08 Jul 2019
Deep Smoothing of the Implied Volatility Surface
Deep Smoothing of the Implied Volatility Surface
Damien Ackerer
Natasa Tagasovska
Thibault Vatter
67
35
0
12 Jun 2019
A neural network-based framework for financial model calibration
A neural network-based framework for financial model calibration
Shuaiqiang Liu
Anastasia Borovykh
L. Grzelak
C. Oosterlee
74
103
0
23 Apr 2019
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of
  Vanilla/Exotic Options Under Various Different Processes
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes
Ali Hirsa
T. Karatas
Amir Oskoui
144
26
0
15 Feb 2019
Deep backward schemes for high-dimensional nonlinear PDEs
Deep backward schemes for high-dimensional nonlinear PDEs
Côme Huré
H. Pham
X. Warin
AI4CE
57
98
0
05 Feb 2019
Pricing options and computing implied volatilities using neural networks
Pricing options and computing implied volatilities using neural networks
Shuaiqiang Liu
C. Oosterlee
S. Bohté
49
123
0
25 Jan 2019
Deep calibration of rough stochastic volatility models
Deep calibration of rough stochastic volatility models
Christian Bayer
Benjamin Stemper
33
71
0
08 Oct 2018
Machine Learning for semi linear PDEs
Machine Learning for semi linear PDEs
Quentin Chan-Wai-Nam
Joseph Mikael
X. Warin
ODL
73
113
0
20 Sep 2018
Deeply Learning Derivatives
Deeply Learning Derivatives
Ryan Ferguson
Andrew Green
59
43
0
06 Sep 2018
QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds
QLBS: Q-Learner in the Black-Scholes(-Merton) Worlds
I. Halperin
OffRL
57
84
0
13 Dec 2017
DGM: A deep learning algorithm for solving partial differential
  equations
DGM: A deep learning algorithm for solving partial differential equations
Justin A. Sirignano
K. Spiliopoulos
AI4CE
91
2,066
0
24 Aug 2017
Deep learning-based numerical methods for high-dimensional parabolic
  partial differential equations and backward stochastic differential equations
Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations
Weinan E
Jiequn Han
Arnulf Jentzen
125
798
0
15 Jun 2017
Gated Neural Networks for Option Pricing: Rationality by Design
Gated Neural Networks for Option Pricing: Rationality by Design
Yongxin Yang
Yu Zheng
Timothy M. Hospedales
28
39
0
14 Sep 2016
Option Pricing Using Bayesian Neural Networks
Option Pricing Using Bayesian Neural Networks
M. M. Pires
T. Marwala
359
5
0
11 May 2007
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