Abstract I demonstrate an important tension between acquiring information and incorporating it into asset prices. As a salient case, I analyze the rise of algorithmic trading (AT), which is typically associated with improved price efficiency. Using a new measure of the information content of...

We investigate the effects of algorithmic trading and dark venues on U.S. security market quality. Market quality refers to the nearly universal mandate of securities regulators to ensure that all market design changes should not detract from efficiency or fairness which we define as less market...

We propose a parsimonious agent-based model of a financial market at the intra-day time scale that is able to jointly reproduce many of the empirically validated stylised facts. These include properties related to returns (leptokurtosis, absence of linear autocorrelation, volatility clustering),...