I investigate whether algorithmic trading (AT) affects voluntary disclosure. I predict that AT's advantage over non-algorithmic investors decreases information acquisition. Because investors are less informed, managers increase disclosure to reduce information asymmetry. I find evidence...

Market microstructure deals with the purest form of financial intermediation – the trading of a financial asset, such as a stock or a bond. In a trading market, assets are not transformed but are simply transferred from one investor to another. The field of market microstructure studies the...

This paper examines how the implementation of a new dark order - Midpoint Extended Life Order on NASDAQ - impacts financial markets stability in terms of occurrences of mini-flash crashes in individual securities. We use high-frequency order book data and apply panel regression analysis to...

The majority of block trading literature uses individual trades to calculate price impact costs. However, block traders are known to break up their large trades into smaller orders in order to reduce trading costs and hide private information. This paper uses proprietary data from the Singapore...

The high-frequency market reaction to intraday stock-specific news flow is examined over the period January 2000 to November 2011. Data on novelty, relevance, and direction of company-specific news for the ASX50 leading Australian stocks is garnered from the Ravenpack news analytics tool....

We study the intra-day impact of algorithmic trading on the futures market to increase our understanding of algorithmic trading and its role in the price formation process. First, we find that algorithmic trading provides liquidity when the spread is wide and that algorithms enter the market at...

Algorithmic Trading (AT) and High Frequency (HF) trading, which are responsible for over 70\% of US stocks trading volume, have greatly changed the microstructure dynamics of tick-by-tick stock data. In this paper we employ a hidden Markov model to examine how the intra-day dynamics of the stock...

We investigate the information acquisition role of dark pool trading. The implementation of the European double volume cap (DVC) mechanism acts as an exogenous shock to help us understand how restrictions on dark trading affect the price discovery process for German stocks. Using the price jump...

This paper explores the role of pre-opening price signals in price discovery and liquidity. NYSE Rule 48 suspends the responsibility of designated market makers for disseminating pre-opening price indications in the event of extreme market-wide volatility. Rule 48 speeds up the opening of stocks...

This paper investigates the importance of speed for technical trading rule performance for three highly liquid ETFs listed on NASDAQ over the period January 6, 2009 up to September 30, 2009. In addition we examine the characteristics of market activity over the day and within subperiods...