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...

We investigate the role of proprietary algorithmic traders (PAT) in facilitating liquidity in a limit order market. Using the order level data from NSE of India, we find that they increase limit order supply following periods of high short-term stock-specific volatility, periods of high...

We investigate the relative roles of limit orders from proprietary algorithmic traders (PAT) and agency algorithmic traders (AAT) in the discovery of security prices in National Stock Exchange (NSE) of India. Our results suggest that AAT contributes more to price discovery compared to PAT. This...

We study the order exposure choice of various trader types in high-speed markets. Using message-level data to identify algorithmic (ATs) and non-algorithmic traders (NATs) we examine how technological differences affect order exposure. While both ATs and NATs hide orders, superior technology...

This paper documents the liquidity-supplying behavior of High-Frequency Traders (HFT) during the abrupt and sustained market decline led by the COVID-19 outbreak. The findings suggest that these endogenous liquidity providers reduce their supply of liquidity in times of sustained market stress...

We propose a novel discretionary accruals (DA) measure in the unexplored dimension of non-current accruals. We show that our measure (DA-NC) can improve the forecasting performance of fraud prediction models that rely on conventional current accruals-based DA measures. Analysing accounting...