We use a recent, high-quality data set from Nasdaq to perform an empirical analysis of order flow in a limit order book (LOB) before and after the arrival of a market order. For each of the stocks that we study, we identify a sequence of distinct phases across which the net flow of orders...

The effectiveness of liquidity provision by HFT firms via the limit order book is an unexplored but central policy issue. Using a unique dataset consisting of limit order placement, execution, and cancellations on Nasdaq, we find that HFT firms do not cancel orders more frequently than non-HFT...

This paper makes use of the natural experiment created by the introduction of ASIC's cost recovery regulation on January 1, 2012, to examine the impact of the regulation on high frequency trading (HFT) and market quality in Australia. We employ the order-to-trade ratio (OTT) as a proxy for HFT...

The financial services industry is among the leading industries in IT-spending. Still, little research exists which investigates how IT influences the financial services sector. Against this background, we study how a technology which emerged within the last years affects securities trading:...

Using high frequency data from the London Stock Exchange (LSE), we investigate the relationship between informed trading and the price impact of block trades on intraday and inter-day basis. Price impact of block trades is stronger during the first hour of trading; this is consistent with the...

We examine the effects of high frequency traders (HFTs) on liquidity using the September 2008 short sale ban. To disentangle the separate impacts of short selling by HFTs and non-HFTs we use an instrumental variables approach exploiting differences in the ban's cross-sectional impact on HFTs and...

Despite the growing adoption of decentralized exchanges, little is known about their market quality. Using a comprehensive dataset, we compare decentralized blockchain-based venues (DEXs) to centralized crypto exchanges (CEXs) assessing two aspects of market quality: price efficiency and market...

We assess the microstructure of the U.S. Treasury securities market following its migration to electronic trading. We model price discovery using a vector autoregression model of price and order flow. We show that both trades and limit orders affect price dynamics, suggesting that traders also...

The optimal execution problem of large orders was examined within the technical framework of High-Frequency Trading (HFT). A sample model was proposed, which extends existing strategy by the HFT means like time slicing with random splitting of the order volume and time shifting. As this strategy...

This paper examines the impact of algorithmic trading (AT) on investors’ incentives to initiate block ownership in U.S. public companies. We find that a one standard deviation change in AT activity reduces the block ownership initiation likelihood by 3.5%. Using the SEC’s randomised tick...