of algorithmic trading on stock market liquidity and commonality in liquidity under different market conditions on the … Tokyo Stock Exchange. After controlling for endogeneity, we find algorithmic trading increases stock liquidity by narrowing … spreads and increasing market depth. Furthermore, algorithmic trading increases commonality in liquidity at both high and low …

of algorithmic trading on stock market liquidity and commonality in liquidity under different market conditions on the … Tokyo Stock Exchange. After controlling for endogeneity, we find algorithmic trading increases stock liquidity by narrowing … spreads and increasing market depth. Furthermore, algorithmic trading increases commonality in liquidity at both high and low …

between traders, when suppliers of liquidity do not sufficiently disclose their trade intentions. As a result, hidden … liquidity can increase trading costs and induce excess price fluctuations unrelated to information. Using NASDAQ order book data …, we find strong empirical support and illustrate that hidden liquidity is higher if bid-ask spreads are smaller and …

We develop a model of an order-driven exchange competing for order flow with off-exchange trading mechanisms. Liquidity … additional trade demand. We show, in equilibrium, hiding trade intentions can induce mis-coordination between liquidity supply … in prices and order flow after periods of high excess-supply of hidden liquidity. …

on liquidity in an attempt to explain the coexistence of evidence regarding both the positive and the negative impacts of … shocks, through which HFT trading patterns may sharply change. Latter regards the certain characteristics of HFT liquidity …

trading and its role in the price formation process. First, we find that algorithmic trading provides liquidity when the …

order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The …