Deep hedging
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Publication:5234357
DOI10.1080/14697688.2019.1571683zbMath1420.91450arXiv1802.03042OpenAlexW4247451115MaRDI QIDQ5234357
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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
hedgingportfolio optimizationtransaction costsreinforcement learningmarket frictionsmachine learningrisk management
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Uses Software
Cites Work
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- Stochastic finance. An introduction in discrete time.
- Hedging with temporary price impact
- Risk measure pricing and hedging in incomplete markets
- Optimal static-dynamic hedges for exotic options under convex risk measures
- Markets with transaction costs. Mathematical theory.
- Option pricing with transaction costs and a nonlinear Black-Scholes equation
- Efficient hedging: cost versus shortfall risk
- Provable approximation properties for deep neural networks
- There is no nontrivial hedging portfolio for option pricing with transaction costs
- Consistent risk measures for portfolio vectors
- An approximate distribution of delta-hedging errors in a jump-diffusion model with discrete trading and transaction costs
- THE COST OF ILLIQUIDITY AND ITS EFFECTS ON HEDGING
- Hedging Under an Expected Loss Constraint with Small Transaction Costs
- OPTION PRICING AND HEDGING WITH SMALL TRANSACTION COSTS
- Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes
- DYNAMIC INDIFFERENCE VALUATION VIA CONVEX RISK MEASURES
- An Asymptotic Analysis of an Optimal Hedging Model for Option Pricing with Transaction Costs
- Delta-hedging vega risk?
- European Option Pricing with Transaction Costs
- Optimal Approximation with Sparsely Connected Deep Neural Networks
- AN OLD‐NEW CONCEPT OF CONVEX RISK MEASURES: THE OPTIMIZED CERTAINTY EQUIVALENT
- An affine property of the reciprocal Asian option process
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