A Topological Approach to Parameterizing Deep Hedging Networks
–arXiv.org Artificial Intelligence
The classical hedging problem entails replicating the payoff of a contingent claim under a certain stochastic model. While we can find a complete hedging strategy in a complete market like Black-Scholes, a market is in general incomplete, including jump diffusion, and stochastic volatility models. While there are several hedging approaches in an incomplete market, it is often very difficult to get a closed form solution or even calculate numerically. Even in a complete market like Black-Scholes, there are drawbacks to this strategy in both execution and the theory it is based on. A traditional asset pricing and hedging method assumes frictionless markets, perfect liquidity, and normally distributed returns among many other conditions.
arXiv.org Artificial Intelligence
Oct-21-2025
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