Deep hedging

From MaRDI portal
Publication:5234357

DOI10.1080/14697688.2019.1571683zbMath1420.91450arXiv1802.03042OpenAlexW4247451115MaRDI QIDQ5234357

No author found.

Publication date: 26 September 2019

Published in: Quantitative Finance (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1802.03042




Related Items (49)

ELS pricing and hedging in a fractional Brownian motion environmentLearning a functional control for high-frequency financeDeep learning for constrained utility maximisationQuantNet: transferring learning across trading strategiesRobust deep hedgingDerivatives of feed-forward neural networks and their application in real-time market risk managementData-driven hedging of stock index options via deep learningDeep empirical risk minimization in finance: Looking into the futureNeural network approximation for superhedging pricesDeep reinforcement learning for option pricing and hedging under dynamic expectile risk measuresDistributionally robust end-to-end portfolio constructionOn a Neural Network to Extract Implied Information from American OptionsNeural networks in Fréchet spacesEmpirical deep hedgingHedging Option Books Using Neural-SDE Market ModelsRecent advances in reinforcement learning in financeHedging error as generalized timing riskA data-driven deep learning approach for options market makingBeating a Benchmark: Dynamic Programming May Not Be the Right Numerical ApproachOptimal liquidation through a limit order book: a neural network and simulation approachA generative model of a limit order book using recurrent neural networksPremium control with reinforcement learningPricing options on flow forwards by neural networks in a Hilbert spaceCan a Machine Correct Option Pricing Models?Designing universal causal deep learning models: The geometric (Hyper)transformerAccelerated share repurchase and other buyback programs: what neural networks can bringQuant GANs: deep generation of financial time seriesDeep-Learning Solution to Portfolio Selection with Serially Dependent ReturnsDeep ReLU network expression rates for option prices in high-dimensional, exponential Lévy modelsShort Communication: A Quantum Algorithm for Linear PDEs Arising in FinanceComputation of optimal transport and related hedging problems via penalization and neural networksOption valuation under no-arbitrage constraints with neural networksOption pricing in regime-switching frameworks with the extended Girsanov principleDeep hedging of long-term financial derivativesBook reviewThe universal approximation property. Characterization, construction, representation, and existenceDeep Reinforcement Learning for Market Making in Corporate Bonds: Beating the Curse of DimensionalityA deep learning model for gas storage optimizationDealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problemsReinforcement learning and stochastic optimisationLow-Dimensional Approximations of High-Dimensional Asset Price ModelsCalibrating rough volatility models: a convolutional neural network approachNon-parametric Pricing and Hedging of Exotic DerivativesBOUNDS ON MULTI-ASSET DERIVATIVES VIA NEURAL NETWORKSDeep combinatorial optimisation for optimal stopping time problems: application to swing options pricing.Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility modelsEqual risk pricing of derivatives with deep hedgingDouble-Execution Strategies Using Path SignaturesDeep ReLU neural networks overcome the curse of dimensionality for partial integrodifferential equations


Uses Software


Cites Work


This page was built for publication: Deep hedging