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...

We examine whether speed is an important characteristic of traders who anticipate local price trends. These anticipatory participants correctly trade prior to the overall market and systematically act before other participants. They use manual and algorithmic order entry methods, but most are...

In this paper, we investigate the role of proprietary algorithmic traders in facilitating liquidity in a limit order market. We find that they rarely use liquidity removing market orders. Their ability to affect the bid-ask spread with order cancellation rates is maximum among three mutually...

This paper documents a stark periodicity in intraday volume and in the number of trades. We find activity in both variables spikes by about 20% at regular intervals of 5 or 10 minutes throughout the trading day. We argue that this activity is the result of algorithmic trading influenced by human...

Liquidity suppliers lean against the wind. We analyze whether high-frequency traders (HFTs) lean against large institutional orders that execute through a series of child orders. The alternative is HFTs trading "with the wind," that is, in the same direction. We find that HFTs initially lean...