When order execution meets informed trading

Various participants trade simultaneously in modern financial markets. We study the interaction between the institutional investor driven by a position target and multiple informed traders possessing long-lived information. The problem is formulated as a Stackelberg-Nash game in the linear price impact model. We solve the problem explicitly and obtain the unique equilibrium. Informed traders first engage in predatory trading and then quickly provide much liquidity to the institutional investor. The advantage in transaction costs encourages informed traders to intensify predation but fierce competition forces them to focus on liquidity provision. The institutional investor always employs a well-known U-shape trading strategy regardless of the magnitude of transaction costs and the number of informed traders, and tends to trade more uniformly with high transaction costs and more informed traders. Orders posted by the institutional investor distort the originally efficient price while informed traders trade in the opposite direction to keep the price from deviating too far from the value. We propose a conjecture that transient price impact may be caused by informed trading. An approximately exponential decay is derived with linear permanent and temporary price impacts, and the convergence speed depends on informed traders' transaction costs.

Authors

Institutions

Publication Details

Journal
Quantitative Finance
Published
2025-03-26
DOI
https://doi.org/10.1080/14697688.2025.2479049
Citations
2
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
4.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When order execution meets informed trading

Yufeng Shi, Longjie Xu
2 citations
Quantitative Finance
Financial Markets and Investment Strategies
4.42
article

When order execution meets informed trading

Yufeng Shi, Longjie Xu
article en
2 citations

Abstract

Various participants trade simultaneously in modern financial markets. We study the interaction between the institutional investor driven by a position target and multiple informed traders possessing long-lived information. The problem is formulated as a Stackelberg-Nash game in the linear price impact model. We solve the problem explicitly and obtain the unique equilibrium. Informed traders first engage in predatory trading and then quickly provide much liquidity to the institutional investor. The advantage in transaction costs encourages informed traders to intensify predation but fierce competition forces them to focus on liquidity provision. The institutional investor always employs a well-known U-shape trading strategy regardless of the magnitude of transaction costs and the number of informed traders, and tends to trade more uniformly with high transaction costs and more informed traders. Orders posted by the institutional investor distort the originally efficient price while informed traders trade in the opposite direction to keep the price from deviating too far from the value. We propose a conjecture that transient price impact may be caused by informed trading. An approximately exponential decay is derived with linear permanent and temporary price impacts, and the convergence speed depends on informed traders' transaction costs.

Quantitative FinanceVol. 25(4)
Shandong University (CN)
Natural Science Foundation of Shandong Province, National Key Research and Development Program of China
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Financial Markets and Investment Strategies
4.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.