In the Insider Trading & Market Manipulation Literature Watch, members of our Finance Practice provide summaries and links to published research about insider trading and market manipulation. The team provides an update each quarter.
The authors’ own abstracts are included in the newsletter and are unedited. Links to the full paper are provided. The inclusion of a paper in this newsletter does not signify that CRA or any of its experts agree or disagree with the content or conclusions therein.
In this Q4 2023 edition, we include a study introducing a new measure of the political risk to which firms are subject; a paper using the trading data for US senators to study the effects of social networks and interactions on the potential dissemination of private information; a piece examining whether environmental costs impact the profitability of insider trading; an article focusing on the distinction between weak and strong AI systems; and a study proposing a dynamic model of the limit order book to derive conditions to test if a trading algorithm will learn to manipulate the order book.
