Fast Deep Hedging with Second-Order Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Mueller, Konrad, Akkari, Amira, Gonon, Lukas, Wood, Ben |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Hedging of Green PPAs in Electricity Markets
by: Biegler-König, Richard, et al.
Published: (2025)
by: Biegler-König, Richard, et al.
Published: (2025)
Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information
by: François, Pascal, et al.
Published: (2024)
by: François, Pascal, et al.
Published: (2024)
Optimizing Deep Reinforcement Learning for American Put Option Hedging
by: Pickard, Reilly, et al.
Published: (2024)
by: Pickard, Reilly, et al.
Published: (2024)
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning
by: Malekzadeh, Parvin, et al.
Published: (2024)
by: Malekzadeh, Parvin, et al.
Published: (2024)
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions
by: Moreno-Pino, Fernando, et al.
Published: (2022)
by: Moreno-Pino, Fernando, et al.
Published: (2022)
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review
by: Ericson, Lars, et al.
Published: (2024)
by: Ericson, Lars, et al.
Published: (2024)
Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling
by: Buehler, Hans, et al.
Published: (2025)
by: Buehler, Hans, et al.
Published: (2025)
Data-driven Approach for Static Hedging of Exchange Traded Options
by: Dhandapani, Vikranth Lokeshwar, et al.
Published: (2023)
by: Dhandapani, Vikranth Lokeshwar, et al.
Published: (2023)
Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning
by: Taylor, Robert
Published: (2024)
by: Taylor, Robert
Published: (2024)
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering
by: Schmitt, Marc
Published: (2024)
by: Schmitt, Marc
Published: (2024)
An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI
by: Boabang, Francis, et al.
Published: (2025)
by: Boabang, Francis, et al.
Published: (2025)
The Recalibration Conundrum: Hedging Valuation Adjustment for Callable Claims
by: Bénézet, Cyril, et al.
Published: (2023)
by: Bénézet, Cyril, et al.
Published: (2023)
Extending the application of dynamic Bayesian networks in calculating market risk: Standard and stressed expected shortfall
by: Gross, Eden, et al.
Published: (2025)
by: Gross, Eden, et al.
Published: (2025)
Bridging Stochastic Control and Deep Hedging: Structural Priors for No-Transaction Band Networks
by: Arzel, Jules, et al.
Published: (2026)
by: Arzel, Jules, et al.
Published: (2026)
A Novel approach to portfolio construction
by: Di Matteo, T., et al.
Published: (2026)
by: Di Matteo, T., et al.
Published: (2026)
What Does Deep Hedging Actually Learn? Delta Corrections, Regime Fragility, and Symbolic Distillation
by: Zernikov, Kirill
Published: (2026)
by: Zernikov, Kirill
Published: (2026)
Neural Networks for Portfolio-Level Risk Management: Portfolio Compression, Static Hedging, Counterparty Credit Risk Exposures and Impact on Capital Requirement
by: Dhandapani, Vikranth Lokeshwar, et al.
Published: (2024)
by: Dhandapani, Vikranth Lokeshwar, et al.
Published: (2024)
Stochastic Dominance Constrained Optimization with S-shaped Utilities: Poor-Performance-Region Algorithm and Neural Network
by: Hu, Zeyun, et al.
Published: (2025)
by: Hu, Zeyun, et al.
Published: (2025)
Deep Hedging to Manage Tail Risk
by: Ma, Yuming
Published: (2025)
by: Ma, Yuming
Published: (2025)
Pool Value Replication (CPM) and Impermanent Loss Hedging
by: Gonzalez, Agustin Muñoz, et al.
Published: (2025)
by: Gonzalez, Agustin Muñoz, et al.
Published: (2025)
Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction
by: Lu, Yi, et al.
Published: (2025)
by: Lu, Yi, et al.
Published: (2025)
Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach
by: Gnabeyeu, Emmanuel, et al.
Published: (2024)
by: Gnabeyeu, Emmanuel, et al.
Published: (2024)
Semi-Static Variance-Optimal Hedging of Covariance Risk in Multi-Asset Derivatives
by: Chatziandreou, Konstantinos, et al.
Published: (2026)
by: Chatziandreou, Konstantinos, et al.
Published: (2026)
Robust and Efficient Deep Hedging via Linearized Objective Neural Network
by: Zhao, Lei, et al.
Published: (2025)
by: Zhao, Lei, et al.
Published: (2025)
A machine learning workflow to address credit default prediction
by: Rahmani, Rambod, et al.
Published: (2024)
by: Rahmani, Rambod, et al.
Published: (2024)
An Explicit Scheme for Pathwise XVA Computations
by: Abbas-Turki, Lokman, et al.
Published: (2024)
by: Abbas-Turki, Lokman, et al.
Published: (2024)
Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions
by: Zhang, Jinghan, et al.
Published: (2024)
by: Zhang, Jinghan, et al.
Published: (2024)
Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)
by: Xu, Jiahua, et al.
Published: (2023)
by: Xu, Jiahua, et al.
Published: (2023)
A transformer-based model for default prediction in mid-cap corporate markets
by: Korangi, Kamesh, et al.
Published: (2021)
by: Korangi, Kamesh, et al.
Published: (2021)
On the Impact of Feeding Cost Risk in Aquaculture Valuation and Decision Making
by: Ewald, Christian Oliver, et al.
Published: (2023)
by: Ewald, Christian Oliver, et al.
Published: (2023)
Joint model for longitudinal and spatio-temporal survival data
by: Medina-Olivares, Victor, et al.
Published: (2023)
by: Medina-Olivares, Victor, et al.
Published: (2023)
Learning to Hedge Swaptions
by: Ahmadi, Zaniar, et al.
Published: (2025)
by: Ahmadi, Zaniar, et al.
Published: (2025)
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
by: Kündig, Pascal, et al.
Published: (2024)
by: Kündig, Pascal, et al.
Published: (2024)
Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment
by: Zhang, Gongao, et al.
Published: (2026)
by: Zhang, Gongao, et al.
Published: (2026)
Empirical Asset Pricing via Ensemble Gaussian Process Regression
by: Filipović, Damir, et al.
Published: (2022)
by: Filipović, Damir, et al.
Published: (2022)
Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-Diffusion
by: Alswaidan, Abdulrahman, et al.
Published: (2026)
by: Alswaidan, Abdulrahman, et al.
Published: (2026)
On Deep Learning for computing the Dynamic Initial Margin and Margin Value Adjustment
by: Villarino, Joel P., et al.
Published: (2024)
by: Villarino, Joel P., et al.
Published: (2024)
A Random Forest approach to detect and identify Unlawful Insider Trading
by: Neupane, Krishna, et al.
Published: (2024)
by: Neupane, Krishna, et al.
Published: (2024)
Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning
by: Rosaler, Joshua, et al.
Published: (2025)
by: Rosaler, Joshua, et al.
Published: (2025)
Credit Scores: Performance and Equity
by: Albanesi, Stefania, et al.
Published: (2024)
by: Albanesi, Stefania, et al.
Published: (2024)
Similar Items
-
Deep Hedging of Green PPAs in Electricity Markets
by: Biegler-König, Richard, et al.
Published: (2025) -
Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information
by: François, Pascal, et al.
Published: (2024) -
Optimizing Deep Reinforcement Learning for American Put Option Hedging
by: Pickard, Reilly, et al.
Published: (2024) -
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning
by: Malekzadeh, Parvin, et al.
Published: (2024) -
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions
by: Moreno-Pino, Fernando, et al.
Published: (2022)