了解潜在的动态交易需求

Xiao Chen, J. Choi, Kasper Larsen, Duane J. Seppi
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引用次数: 3

摘要

本文提出了一个具有交易目标和价格影响的战略投资者动态交易、学习和定价的均衡模型。由于交易目标是私人的,再平衡者和流动性提供者随着时间的推移过滤子订单流,以估计潜在的潜在母交易需求不平衡及其对后续价格压力动态的预期影响。我们利用耦合ode系统的解证明了均衡的存在性,并求解了均衡交易策略和均衡价格。我们表明,交易策略是针对投资者目标的交易,为其他投资者需求提供流动性,以及基于对潜在潜在交易需求失衡和未来价格压力的了解而提前操作的组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning about Latent Dynamic Trading Demand
This paper presents an equilibrium model of dynamic trading, learning, and pricing by strategic investors with trading targets and price impact. Since trading targets are private, rebalancers and liquidity providers filter the child order flow over time to estimate the latent underlying parent trading demand imbalance and its expected impact on subsequent price pressure dynamics. We prove existence of the equilibrium and solve for equilibrium trading strategies and prices in terms of the solution to a system of coupled ODEs. We show that trading strategies are combinations of trading towards investor targets, liquidity provision for other investors’ demands, and front-running based on learning about latent underlying trading demand imbalances and future price pressure.
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