## Abstract

A risk-averse agent hedges her exposure to a nontradable 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 a closed-form expression for the optimal strategy when the agent holds a linear position in U. When the exposure to the nontradable risk factor (Formula presented.) is nonlinear, we provide an approximation to the optimal strategy in closed-form, and prove that the value function is correctly approximated by this strategy when cross-impact and risk-aversion are small. We further prove that when (Formula presented.) is nonlinear, the approximate optimal strategy can be written in terms of the optimal strategy for a linear exposure with the size of the position changing dynamically according to the exposure's “Delta” under a particular probability measure.

Original language | English |
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Pages (from-to) | 833-868 |

Number of pages | 36 |

Journal | MATHEMATICAL FINANCE |

Volume | 30 |

Issue number | 3 |

DOIs | |

Publication status | Published - 1 Jul 2020 |

## Keywords

- algorithmic trading
- hedging
- nontradable risk
- price impact