Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: François, Pascal, Gauthier, Geneviève, Godin, Frédéric, Mendoza, Carlos Octavio Pérez
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866918124074303488
author François, Pascal
Gauthier, Geneviève
Godin, Frédéric
Mendoza, Carlos Octavio Pérez
author_facet François, Pascal
Gauthier, Geneviève
Godin, Frédéric
Mendoza, Carlos Octavio Pérez
contents We present a dynamic hedging scheme for S&P 500 options, where rebalancing decisions are enhanced by integrating information about the implied volatility surface dynamics. The optimal hedging strategy is obtained through a deep policy gradient-type reinforcement learning algorithm. The favorable inclusion of forward-looking information embedded in the volatility surface allows our procedure to outperform several conventional benchmarks such as practitioner and smiled-implied delta hedging procedures, both in simulation and backtesting experiments. The outperformance is more pronounced in the presence of transaction costs.
format Preprint
id arxiv_https___arxiv_org_abs_2407_21138
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information
François, Pascal
Gauthier, Geneviève
Godin, Frédéric
Mendoza, Carlos Octavio Pérez
Risk Management
Machine Learning
Computational Finance
We present a dynamic hedging scheme for S&P 500 options, where rebalancing decisions are enhanced by integrating information about the implied volatility surface dynamics. The optimal hedging strategy is obtained through a deep policy gradient-type reinforcement learning algorithm. The favorable inclusion of forward-looking information embedded in the volatility surface allows our procedure to outperform several conventional benchmarks such as practitioner and smiled-implied delta hedging procedures, both in simulation and backtesting experiments. The outperformance is more pronounced in the presence of transaction costs.
title Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information
topic Risk Management
Machine Learning
Computational Finance
url https://arxiv.org/abs/2407.21138