We develop a model of limit order trading in which some traders have better information on future price volatility. As limit orders have option-like features, this information is valuable for limit order traders. We solve for informed and uninformed limit order traders' bidding strategies in...

Algorithms enable investors to locate trading opportunities, which raises gains from trade. Algorithmic traders can also process information on stock values before slow traders, which generates adverse selection. We model trading in this context and show that, for a given level of algorithmic...

How does trading in one venue affect the quoting strategies of market-makers in other venues? We develop a two-venue imperfect competition model in which market-makers face quadratic costs to absorb shocks. Non-constant marginal costs imply that absorbing a shock in one venue simultaneously...