We propose a state-space modeling approach for decomposing trading volume into its liquidity-driven and information-driven components. Using a set of high-frequency S&P 500 stock data, we show that informed trading is linked with a reduction in volatility, illiquidity, and toxicity/adverse...

Based on the notion that private information necessarily accompanies trade and leads to return variation, this paper explores the positive relationship between informed trade and firm-specific return variation. Using the PIN as a measure of informed trade, we find that the PIN is positively...

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 model a financial market where privately informed investors trade in a limit order book monitored by professional liquidity providers. Price competition between informed limit order submitters and professional market makers allows us to capture tradeoffs between informed limit and market...