We explore the relation between limit order price clustering and price efficiency. We find that executed sell limit orders cluster more frequently on round increments than buy limit orders and that this asymmetry in clustering is consistent with the well documented asymmetry in price response to...

Automated market makers (AMMs) are algorithms that pool liquidity and make it available to liquidity takers by automatically and algorithmically determining an execution price of a trade. In the recent markets for digital assets, a growing number of blockchain-based decentralized exchanges (DEX)...

The current research assesses the risks commonly attributed to the presence of HFT in the context of different market structures deployed by the U.S. exchanges. In particular, we find that, by design, the so-called “normal” exchanges have the lowest market quality, including the highest...

We document a sizable OTC discount in the interdealer market for German sovereign bonds where exchange and over-the-counter trading coexist: the vast majority of OTC prices are favorable compared to exchange quotes. This is a challenge for theories of OTC markets centered around...

Using trade-level data, we study whether brokers play a role in spreading order flow information. We focus on large portfolio liquidations, which result in temporary drops in stock prices, and identify the brokers that intermediate these trades. We show that these brokers' best clients tend to...

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...