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Quant GANs: Deep Generation of Financial Time Series

Quant GANs: Deep Generation of Financial Time Series

15 July 2019
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
    GAN
    AI4TS
    AIFin
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Papers citing "Quant GANs: Deep Generation of Financial Time Series"

50 / 88 papers shown
Title
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
Bokai Cao
Saizhuo Wang
Xinyi Lin
Xiaojun Wu
Haohan Zhang
L. Ni
Jian Guo
AIFin
57
0
0
27 Mar 2025
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
Bokai Cao
Xueyuan Lin
Yiyan Qi
Chengjin Xu
Cehao Yang
Jian Guo
40
0
0
23 Mar 2025
Synthetic Data Generation for Minimum-Exposure Navigation in a Time-Varying Environment using Generative AI Models
Nachiket U. Bapat
Randy C. Paffenroth
Raghvendra V. Cowlagi
52
0
0
09 Mar 2025
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
Jaskaran Singh Walia
Aarush Sinha
Srinitish Srinivasan
Srihari Unnikrishnan
49
0
0
24 Feb 2025
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics
Andrew Lesniewski
Giulio Trigila
DiffM
80
0
0
21 Nov 2024
Time-Causal VAE: Robust Financial Time Series Generator
Time-Causal VAE: Robust Financial Time Series Generator
Beatrice Acciaio
Stephan Eckstein
Songyan Hou
AI4TS
30
2
0
05 Nov 2024
Variational Neural Stochastic Differential Equations with Change Points
Variational Neural Stochastic Differential Equations with Change Points
Yousef El-Laham
Zhongchang Sun
Haibei Zhu
Tucker Balch
Svitlana Vyetrenko
26
0
0
01 Nov 2024
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling
  of Equities
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities
Achintya Gopal
32
0
0
02 Aug 2024
Universal randomised signatures for generative time series modelling
Universal randomised signatures for generative time series modelling
Francesca Biagini
Lukas Gonon
Niklas Walter
40
4
0
14 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis
A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers
Logan Cummins
Sudip Mittal
Shahram Rahimi
Maria Seale
Joseph Jaboure
Thomas Arnold
AI4TS
40
2
0
04 Jun 2024
Learning heavy-tailed distributions with
  Wasserstein-proximal-regularized $α$-divergences
Learning heavy-tailed distributions with Wasserstein-proximal-regularized ααα-divergences
Ziyu Chen
Hyemin Gu
M. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
34
0
0
22 May 2024
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval
  Construction
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
Jingyi Gu
Wenlu Du
Guiling Wang
19
0
0
16 Feb 2024
Unlearnable Examples For Time Series
Unlearnable Examples For Time Series
Yujing Jiang
Xingjun Ma
S. Erfani
James Bailey
AI4TS
23
1
0
03 Feb 2024
Time-Transformer: Integrating Local and Global Features for Better Time
  Series Generation
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation
Yuansan Liu
S. Wijewickrema
Ang Li
C. Bester
Stephen O'Leary
James Bailey
ViT
AI4TS
21
7
0
18 Dec 2023
Generative Machine Learning for Multivariate Equity Returns
Generative Machine Learning for Multivariate Equity Returns
Ruslan Tepelyan
Achintya Gopal
AIFin
SyDa
29
4
0
21 Nov 2023
Flexible Tails for Normalising Flows, with Application to the Modelling
  of Financial Return Data
Flexible Tails for Normalising Flows, with Application to the Modelling of Financial Return Data
Tennessee Hickling
Dennis Prangle
16
4
0
01 Nov 2023
Synthetic Data as Validation
Synthetic Data as Validation
Qixing Hu
Alan L. Yuille
Zongwei Zhou
SyDa
OOD
22
8
0
24 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following
  Strategies
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies
Kieran Wood
Samuel Kessler
Stephen J. Roberts
S. Zohren
AI4TS
25
2
0
16 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
31
18
0
03 Oct 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series
  Classification and Clustering
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
F. Huang
Yangdong Deng
GAN
AI4TS
25
1
0
09 Sep 2023
Generating drawdown-realistic financial price paths using path
  signatures
Generating drawdown-realistic financial price paths using path signatures
Emiel Lemahieu
Kris Boudt
Maarten Wyns
19
1
0
08 Sep 2023
TSGBench: Time Series Generation Benchmark
TSGBench: Time Series Generation Benchmark
Yihao Ang
Qiang Huang
Yifan Bao
Anthony K. H. Tung
Zhiyong Huang
AI4TS
28
16
0
07 Sep 2023
INTAGS: Interactive Agent-Guided Simulation
INTAGS: Interactive Agent-Guided Simulation
Song Wei
Andrea Coletta
Svitlana Vyetrenko
T. Balch
16
1
0
04 Sep 2023
FinDiff: Diffusion Models for Financial Tabular Data Generation
FinDiff: Diffusion Models for Financial Tabular Data Generation
Timur Sattarov
Marco Schreyer
Damian Borth
DiffM
11
35
0
04 Sep 2023
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
Santanu Ganguly
GAN
48
2
0
15 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from
  the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
34
2
0
31 Jul 2023
Adversarial Deep Hedging: Learning to Hedge without Price Process
  Modeling
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling
Masanori Hirano
Kentaro Minami
Kentaro Imajo
GAN
24
3
0
25 Jul 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion
  Models with Transformers
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers
Md Fahim Sikder
R. Ramachandranpillai
Fredrik Heintz
DiffM
26
9
0
24 Jul 2023
Sig-Splines: universal approximation and convex calibration of time
  series generative models
Sig-Splines: universal approximation and convex calibration of time series generative models
Magnus Wiese
Phillip Murray
R. Korn
AI4TS
25
1
0
19 Jul 2023
A Comprehensive Survey on Generative Diffusion Models for Structured
  Data
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo
To Eun Kim
DiffM
MedIm
33
7
0
07 Jun 2023
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial
  Network
GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network
Srikrishna Iyer
Teck-Hou Teng
AI4TS
13
1
0
03 Jun 2023
Generative modeling of time-dependent densities via optimal transport
  and projection pursuit
Generative modeling of time-dependent densities via optimal transport and projection pursuit
Jonah Botvinick-Greenhouse
Yunan Yang
R. Maulik
OT
11
2
0
19 Apr 2023
Generative modeling for time series via Schr{ö}dinger bridge
Generative modeling for time series via Schr{ö}dinger bridge
Mohamed Hamdouche
P. Henry-Labordère
H. Pham
AI4TS
DiffM
OT
32
11
0
11 Apr 2023
30 Years of Synthetic Data
30 Years of Synthetic Data
Joerg Drechsler
Anna Haensch
30
15
0
04 Apr 2023
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed
  Generative Network
Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network
Jingyi Gu
Fadi P. Deek
Guiling Wang
GAN
AIFin
AI4TS
18
5
0
27 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
33
140
0
08 Feb 2023
On the causality-preservation capabilities of generative modelling
On the causality-preservation capabilities of generative modelling
Yves-Cédric Bauwelinckx
Jan Dhaene
Tim Verdonck
Milan van den Heuvel
CML
AI4CE
38
0
0
03 Jan 2023
StyleTime: Style Transfer for Synthetic Time Series Generation
StyleTime: Style Transfer for Synthetic Time Series Generation
Yousef El-Laham
Svitlana Vyetrenko
AI4TS
24
5
0
22 Sep 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial
  Processes: A Survey
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
R. Bhushan Gopaluni
Aditya Tulsyan
Benoît Chachuat
Biao Huang
J. M. Lee
Faraz Amjad
S. Damarla
Jong Woo Kim
Nathan P. Lawrence
AI4CE
11
38
0
22 Sep 2022
HyperTime: Implicit Neural Representation for Time Series
HyperTime: Implicit Neural Representation for Time Series
Elizabeth Fons
Alejandro Sztrajman
Yousef El-Laham
Alexandros Iosifidis
Svitlana Vyetrenko
AI4TS
27
20
0
11 Aug 2022
Data-Driven Modeling of Noise Time Series with Convolutional Generative
  Adversarial Networks
Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks
A. Wunderlich
Jack G. Sklar
AI4TS
40
4
0
03 Jul 2022
Simulating financial time series using attention
Simulating financial time series using attention
Weilong Fu
Ali Hirsa
Jörg Osterrieder
AI4TS
AIFin
GAN
17
4
0
01 Jul 2022
Improving Correlation Capture in Generating Imbalanced Data using
  Differentially Private Conditional GANs
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Chang Sun
J. V. Soest
Michel Dumontier
SyDa
23
2
0
28 Jun 2022
Distributionally Robust End-to-End Portfolio Construction
Distributionally Robust End-to-End Portfolio Construction
Giorgio Costa
G. Iyengar
OOD
9
13
0
10 Jun 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
40
109
0
06 May 2022
GANs as Gradient Flows that Converge
GANs as Gradient Flows that Converge
Yu‐Jui Huang
Yuchong Zhang
11
2
0
05 May 2022
Supervised machine learning classification for short straddles on the
  S&P500
Supervised machine learning classification for short straddles on the S&P500
Alexander Brunhuemer
Lukas Larcher
Philipp Seidl
Sascha Desmettre
Johannes Kofler
G. Larcher
10
3
0
26 Apr 2022
Downstream Fairness Caveats with Synthetic Healthcare Data
Downstream Fairness Caveats with Synthetic Healthcare Data
Karan Bhanot
Ioana Baldini
Dennis L. Wei
J. Zeng
Kristin P. Bennett
SyDa
16
2
0
09 Mar 2022
Risk-Neutral Market Simulation
Risk-Neutral Market Simulation
Magnus Wiese
M. Phillip
21
2
0
28 Feb 2022
Designing Universal Causal Deep Learning Models: The Geometric
  (Hyper)Transformer
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
39
20
0
31 Jan 2022
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