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)...

This paper studies the impact of contracted market makers by investigating the liquidity provider scheme in Sweden. The results show that the stocks become more liquid after the introduction of the contracted market makers. The liquidity improvement is explained by reduced order processing cost...

We examine the effect of learning of uninformed traders in a dynamic limit order market with asymmetric and short-lived information. We show that the learning is effective and valuable with respect to information acquisition, forecasting and buy-sell decision accuracies, and profit opportunity...

Using trader-resolved data, we document lead-lag relationships between groups of investors in the foreign exchange market. Because these relationships are systematic and persistent, order flow is predictable from trader-resolved order flow. We thus propose a generic method to exploit trader...

We model trades-through, i.e. transactions that reach at least the second level of limit orders in an order book. Using tick-by-tick data on Euronext-traded stocks, we show that a simple bivariate Hawkes process fits nicely our empirical observations of trades-through. We show that the...