The emergence of high frequency trading has resulted in `bursts' of orders arriving at an exchange (nearly) simultaneously, yet most electronic financial exchanges implement the continuous limit order book which requires processing of orders serially. Contrary to an assumption that appears...

Transaction-level analysis of security price change due to Madhavan, Richardson and Roomans (1997, hereafter MRR) has been a useful framework in financial analysis. The one order Markov property of the trade indicator variables is a key assumption in the MRR model, which contradicts the...

This paper develops a model of the optimal strategies of high-frequency traders (HFTs) to rationalize their pinging activities. Pinging is defined as limit orders submitted inside the bid-ask spread that are cancelled shortly. The HFT in my model uses pinging to control his inventory or chase...

The findings in this paper confirm that there is an economic and statistic negative association between High Frequency Trading [HFT] activity and price volatility. In the ultra-high frequency intervals around HFT there is a slight increase in volatility. This paper also confirms that large high...

This paper documents that speed is crucially important for high frequency trading strategies based on U.S. macroeconomic news releases. Using order level data of the highly liquid S&P500 ETF traded on NASDAQ from January 6, 2009, to December 12, 2011, we find that a delay of 300 milliseconds (1...

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...

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 develop a model of limit order trading in which some traders have better information on future price volatility. As limit orders have option-like features, this information is valuable for limit order traders. We solve for informed and uninformed limit order traders' bidding strategies in...

We show that limited dealer participation in the market, coupled with an informational friction resulting from high frequency trading, can induce demand for liquidity to be upward sloping and strategic complementarities in traders' liquidity consumption decisions: traders demand more liquidity...