We investigate the role algorithmic trading (AT) on days when the absolute value of the market return is more than two percent. We find that the abnormal return of a stock is related to the stock's AT intensity, that high AT intensity stocks experience less price drops (surges) on days when the...

This empirical study uses a unique recent data set provided by the French regulator "Autorité des Marchés Financiers" and gives some evidence concerning the impact of aggressive orders on the price formation process and the information content of these orders according to the different order...

This report presents the vital role stochastic modeling (CLM) plays in designing an algorithm that automatically produces respective BUY/SELL (BS) orders for EURO and British Pound (GBP) currencies. These trades are made possible by using the online Trader Workstation (TWS) provided by...

Using a change in regulatory fees in Canada in April, 2012, that affected predominantly high-frequency market makers (HFMMs), we analyze the causal impact of their activity on trading costs. The message fee caused the number of trades, quotes, and cancellations to drop by 30% driven by a...

We examine whether speed is an important characteristic of traders who anticipate local price trends. These anticipatory participants correctly trade prior to the overall market and systematically act before other participants. They use manual and algorithmic order entry methods, but most are...

We examine the effect of high frequency trading on market quality from theperspective of a limit order trader. By competing with slower limit order traders, highfrequency traders (HFT) impose a welfare externality by crowding out slower non-HFTlimit orders. The order book imbalance immediately...