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This article discusses a new application of reinforcement learning: to the problem of hedging a portfolio of “over … machine learning literature.The objective is to maximize a non-linear risk-adjusted return function by trading in liquid … hedging instruments such as equities or listed options. The approach presented here is the first efficient and model …
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We construct realistic equity option market simulators based on generative adversarial networks (GANs). We consider recurrent and temporal convolutional architectures, and assess the impact of state compression. Option market simulators are highly relevant because they allow us to extend the...
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