Deep learning interpretability for rough volatility
Fuente:
arXiv
Saved in:
| Main Authors: | Yuan, Bo, Brigo, Damiano, Jacquier, Antoine, Pede, Nicola |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty-Aware Deep Hedging
by: Poddar, Manan
Published: (2026)
by: Poddar, Manan
Published: (2026)
Risk premium and rough volatility
by: Bonesini, Ofelia, et al.
Published: (2024)
by: Bonesini, Ofelia, et al.
Published: (2024)
Machine learning for option pricing: an empirical investigation of network architectures
by: Della Corte, Serena, et al.
Published: (2023)
by: Della Corte, Serena, et al.
Published: (2023)
Error Analysis of Deep PDE Solvers for Option Pricing
by: Rou, Jasper
Published: (2025)
by: Rou, Jasper
Published: (2025)
A time-stepping deep gradient flow method for option pricing in (rough) diffusion models
by: Papapantoleon, Antonis, et al.
Published: (2024)
by: Papapantoleon, Antonis, et al.
Published: (2024)
Random neural networks for rough volatility
by: Jacquier, Antoine, et al.
Published: (2023)
by: Jacquier, Antoine, et al.
Published: (2023)
Time Deep Gradient Flow Method for pricing American options
by: Rou, Jasper
Published: (2025)
by: Rou, Jasper
Published: (2025)
Deep g-Pricing for CSI 300 Index Options with Volatility Trajectories and Market Sentiment
by: Zhang, Yilun, et al.
Published: (2026)
by: Zhang, Yilun, et al.
Published: (2026)
Functional quantization of rough volatility and applications to volatility derivatives
by: Bonesini, Ofelia, et al.
Published: (2021)
by: Bonesini, Ofelia, et al.
Published: (2021)
Rough volatility, path-dependent PDEs and weak rates of convergence
by: Bonesini, Ofelia, et al.
Published: (2023)
by: Bonesini, Ofelia, et al.
Published: (2023)
A deep BSDE approach for the simultaneous pricing and delta-gamma hedging of large portfolios consisting of high-dimensional multi-asset Bermudan options
by: Negyesi, Balint, et al.
Published: (2025)
by: Negyesi, Balint, et al.
Published: (2025)
Rough differential equations for volatility
by: Bonesini, Ofelia, et al.
Published: (2024)
by: Bonesini, Ofelia, et al.
Published: (2024)
Computing Systemic Risk Measures with Graph Neural Networks
by: Gonon, Lukas, et al.
Published: (2024)
by: Gonon, Lukas, et al.
Published: (2024)
Short-time behavior of the At-The-Money implied volatility for the jump-diffusion stochastic volatility Bachelier model
by: Alòs, Elisa, et al.
Published: (2025)
by: Alòs, Elisa, et al.
Published: (2025)
Computation of Greeks under rough Volterra stochastic volatility models using the Malliavin calculus approach
by: Al-Foraih, Mishari, et al.
Published: (2023)
by: Al-Foraih, Mishari, et al.
Published: (2023)
The Compound BSDE Method: A Fully Forward Method for Option Pricing and Optimal Stopping Problems in Finance
by: Huang, Zhipeng, et al.
Published: (2026)
by: Huang, Zhipeng, et al.
Published: (2026)
Pricing American options under rough volatility using deep-signatures and signature-kernels
by: Bayer, Christian, et al.
Published: (2025)
by: Bayer, Christian, et al.
Published: (2025)
Robust Utility Optimization via a GAN Approach
by: Krach, Florian, et al.
Published: (2024)
by: Krach, Florian, et al.
Published: (2024)
Mild to classical solutions for XVA equations under stochastic volatility
by: Brigo, Damiano, et al.
Published: (2021)
by: Brigo, Damiano, et al.
Published: (2021)
Tighter 'uniform bounds for Black-Scholes implied volatility' and the applications to root-finding
by: Choi, Jaehyuk, et al.
Published: (2023)
by: Choi, Jaehyuk, et al.
Published: (2023)
Correct implied volatility shapes and reliable pricing in the rough Heston model
by: Boyarchenko, Svetlana, et al.
Published: (2024)
by: Boyarchenko, Svetlana, et al.
Published: (2024)
Pricing and calibration in the 4-factor path-dependent volatility model
by: Gazzani, Guido, et al.
Published: (2024)
by: Gazzani, Guido, et al.
Published: (2024)
Analytic approximation for Bachelier option prices and applications
by: Alòs, Elisa, et al.
Published: (2026)
by: Alòs, Elisa, et al.
Published: (2026)
A Monotone Limit Approach to Entropy-Regularized American Options
by: Chee, Daniel, et al.
Published: (2026)
by: Chee, Daniel, et al.
Published: (2026)
Heath-Jarrow-Morton meet lifted Heston in energy markets for joint historical and implied calibration
by: Jaber, Eduardo Abi, et al.
Published: (2025)
by: Jaber, Eduardo Abi, et al.
Published: (2025)
Improved model-free bounds for multi-asset options using option-implied information and deep learning
by: Dragazi, Evangelia, et al.
Published: (2024)
by: Dragazi, Evangelia, et al.
Published: (2024)
A deep implicit-explicit minimizing movement method for option pricing in jump-diffusion models
by: Georgoulis, Emmanuil H., et al.
Published: (2024)
by: Georgoulis, Emmanuil H., et al.
Published: (2024)
Rough PDEs for local stochastic volatility models
by: Bank, Peter, et al.
Published: (2023)
by: Bank, Peter, et al.
Published: (2023)
Autonomous AI Agents for Option Hedging: Enhancing Financial Stability through Shortfall Aware Reinforcement Learning
by: Hu, Minxuan, et al.
Published: (2026)
by: Hu, Minxuan, et al.
Published: (2026)
Pricing with Passion: The Local Occupied Volatility (LOV) Model
by: Tissot-Daguette, Valentin
Published: (2026)
by: Tissot-Daguette, Valentin
Published: (2026)
Multi-Layer Deep xVA: Structural Credit Models, Measure Changes and Convergence Analysis
by: Andersson, Kristoffer, et al.
Published: (2025)
by: Andersson, Kristoffer, et al.
Published: (2025)
Rough Bergomi turns grey
by: Jacquier, Antoine, et al.
Published: (2025)
by: Jacquier, Antoine, et al.
Published: (2025)
Rough volatility dynamics in commodity markets
by: Daluiso, Roberto, et al.
Published: (2026)
by: Daluiso, Roberto, et al.
Published: (2026)
Pricing VIX options under the Heston-Hawkes stochastic volatility model
by: Font, Oriol Zamora
Published: (2024)
by: Font, Oriol Zamora
Published: (2024)
Hedging with memory: shallow and deep learning with signatures
by: Jaber, Eduardo Abi, et al.
Published: (2025)
by: Jaber, Eduardo Abi, et al.
Published: (2025)
Optimal risk mitigation by deep reinsurance
by: Arandjelović, Aleksandar, et al.
Published: (2024)
by: Arandjelović, Aleksandar, et al.
Published: (2024)
A forward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
by: Kapllani, Lorenc, et al.
Published: (2024)
by: Kapllani, Lorenc, et al.
Published: (2024)
A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
by: Kapllani, Lorenc, et al.
Published: (2024)
by: Kapllani, Lorenc, et al.
Published: (2024)
Weak error estimates for rough volatility models
by: Friz, Peter K., et al.
Published: (2022)
by: Friz, Peter K., et al.
Published: (2022)
A Deep Reinforcement Learning Trader without Offline Training
by: Lazov, Boian
Published: (2023)
by: Lazov, Boian
Published: (2023)
Similar Items
-
Uncertainty-Aware Deep Hedging
by: Poddar, Manan
Published: (2026) -
Risk premium and rough volatility
by: Bonesini, Ofelia, et al.
Published: (2024) -
Machine learning for option pricing: an empirical investigation of network architectures
by: Della Corte, Serena, et al.
Published: (2023) -
Error Analysis of Deep PDE Solvers for Option Pricing
by: Rou, Jasper
Published: (2025) -
A time-stepping deep gradient flow method for option pricing in (rough) diffusion models
by: Papapantoleon, Antonis, et al.
Published: (2024)