Inventory Management for High-Frequency Trading With Imperfect Competition
25 Pages Posted: 29 Aug 2018 Last revised: 13 Dec 2021
Date Written: June 2, 2019
We study Nash equilibria for inventory-averse high-frequency traders (HFTs), who trade to exploit information about future price changes. For discrete trading rounds, the HFTs' optimal trading strategies and their equilibrium price impact are described by a system of nonlinear equations; explicit solutions obtain around the continuous-time limit. Unlike in the risk-neutral case, the optimal inventories become mean-reverting and vanish as the number of trading rounds becomes large. In contrast, the HFTs' risk-adjusted profits and the equilibrium price impact converge to their risk-neutral counterparts. Compared to a social-planner solution for cooperative HFTs, Nash competition leads to excess trading, so that marginal transaction taxes in fact decrease market liquidity.
Keywords: High-Frequency Trading, Information Asymmetry, Inventory Management, Imperfect Competition
JEL Classification: G14, G11, C61, C68
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