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This paper is the first to study the hedging of price risk with uncertain payment dates, a frequent problem in practice …. It derives a variance-minimizing hedging strategy for two settings, the first employing linear contracts with different …
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applied to the conventional deep hedging training algorithm so as to enable obtaining a price through a single training run … for the two neural networks associated with the respective long and short hedging strategies. The accuracy of the neural …
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A risk-averse agent hedges her exposure to a non-tradable risk factor U using a correlated traded asset S and accounts for the impact of her trades on both factors. The effect of the agent's trades on U is referred to as cross-impact. By solving the agent's stochastic control problem, we obtain...
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