We show that High Frequency Traders (HFTs) are not beneficial to the stock market during flash crashes. They actually consume liquidity when it is most needed, even when they are rewarded by the exchange to provide immediacy. The behavior of HFTs exacerbate the transient price impact, unrelated...

This paper develops an equilibrium model of an alleged manipulative trading practice known as “banging the close”. The trading practice played a central role in the recent fixing scandal in foreign exchange markets, but there are also recent high-profile regulatory cases from equity,...

We analyse liquidity dynamics in the UK long gilt futures market. We use a novel order book dataset to assess liquidity resilience to sources of pressure such as policy operations or episodes of financial distress. Our results provide evidence in favour of resilience. We further show that this...

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...

Designated market makers (DMMs) are contractually obligated to increase liquidity provision when trading volume breaches a floor. Using this feature in a regression discontinuity design, we show that increased DMM participation facilitates price informativeness with respect to earnings news....

We show that (electronic) designated market makers are not necessarily beneficial to the stock market during ash crashes. They actually consume liquidity when it is most needed, even if they are rewarded by the exchange to provide immediacy. This behavior exacerbates the transient price impact,...

We analyze how market fragmentation affects market quality of SME and other less actively traded stocks. Compared to large stocks, they are less likely to be traded on multiple venues and show, if at all, low levels of fragmentation. Concerning the impact of fragmentation on market quality, we...

This study examines how algorithmic trading (AT) affects forward-looking disclosures in Management Discussion and Analysis (MD&A) of annual reports. We predict and find evidence that AT relates negatively to modifications in year-over-year forward-looking MD&A disclosures. This evidence is...

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...

We examine the role of algorithmic traders (AT) in liquidity supply and demand in the 30 DAX stocks on the Deutsche Boerse in January 2008. AT represent 52% of market order volume and 64% of nonmarketable limit order volume. AT more actively monitor market liquidity than human traders. AT...