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Deep hedging: learning to remove the drift

Removing arbitrage opportunities from the simulated data used for training, deep hedging becomes more robust

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Hans Buehler, Phillip Murray, Mikko S. Pakkanen and Ben Wood present a machine learning approach for finding minimal equivalent martingale measures for market simulators of tradable instruments, eg, for a spot price and options written on the same underlying. They extend their results to markets with frictions, where they find ‘near martingale measures’ under which

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