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Wealth or Stealth? The Camouflage Effect in Insider Trading

Published: December 6, 2025 | arXiv ID: 2512.06309v1

By: Jin Ma, Weixuan Xia, Jianfeng Zhang

Potential Business Impact:

Helps catch secret stock market cheaters.

Business Areas:
Law Enforcement Government and Military, Privacy and Security

We consider a Kyle-type model where insider trading takes place among a potentially large population of liquidity traders and is subject to legal penalties. Insiders exploit the liquidity provided by the trading masses to "camouflage" their actions and balance expected wealth with the necessary stealth to avoid detection. Under a diverse spectrum of prosecution schemes, we establish the existence of equilibria for arbitrary population sizes and a unique limiting equilibrium. A convergence analysis determines the scale of insider trading by a stealth index $γ$, revealing that the equilibrium can be closely approximated by a simple limit due to diminished price informativeness. Empirical aspects are derived from two calibration experiments using non-overlapping data sets spanning from 1980 to 2018, which underline the indispensable role of a large population in insider trading models with legal risk, along with important implications for the incidence of stealth trading and the deterrent effect of legal enforcement.

Country of Origin
🇺🇸 United States

Page Count
49 pages

Category
Economics:
General Economics