We develop a portfolio trading strategy that aims to achieve optimal performance against arrival prices by minimizing market impact and risk. We first lay the groundwork by formulating a single-security trading strategy and then generalize the framework to the portfolio trading context....

In this paper, we investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. Using the order level data from National Stock Exchange of India, we find that they increase limit order supply following periods of high short-term volatility or periods...

In the following paper we analyze the strategic competition between fast and slow traders. The model of Kyle (1985) is adapted to analyze the effect of speed in such a model. A High Frequency Trader (HFT) is defined as a trader that has the ability to react to information faster than other...

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...