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Portfolio Liquidation under Factor Uncertainty

˜The œAnnals of applied probability/˜The œannals of applied probability(2022)

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摘要
We study an optimal liquidation problem under the ambiguity with respect to price impact parameters. Our main results show that the value function and the optimal trading strategy can be characterized by the solution to a semi-linear PDE with superlinear gradient, monotone generator and singular terminal value. We also establish an asymptotic analysis of the robust model for small amount of uncertainty and analyse the effect of robustness on optimal trading strategies and liquidation costs. In particular, in our model ambiguity aversion is observationally equivalent to increased risk aversion. This suggests that ambiguity aversion increases liquidation rates.
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关键词
Stochastic control,uncertainty,portfolio liquidation,singular terminal value,superlinear growth gradient
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