We train a machine learning method on a class of informed trades to develop a new measure of informed trading, the Informed Trading Intensity (``ITI''). ITI increases before earnings, M&A, and news announcements, and has implications for return reversal and asset pricing. ITI is effective...

In this paper, we employ a registry of legal insider trading for Dutch listed firms to investigate the information content of trades by corporate insiders. Using a standard event-study methodology, we examine short-term stock price behavior around trades. We find that purchases are followed by...

We examine stock trading activities in days before Chinese listed firms made public announcement to start share-structure reform. There is significant evidence that, relative to a benchmark period, institutional investors bought more event firms' shares in the last two trading days prior to...

Dufour and Engle (J. Finance (2000) 2467) find evidence of an increased presence of informed traders when the NYSE markets are most active. No such evidence, however, can be found by Manganelli (J. Financial Markets (2005) 377) for the infrequently traded stocks. In this paper, we fit a...

We obtain a unique dataset to examine the effect of the Shanghai-Hong Kong Stock Connect program, which allows foreign investors from Hong Kong to buy stocks listed in Shanghai (northbound) and domestic investors from mainland China to buy stocks listed in Hong Kong (southbound). There is a...

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...

We analyse stock price behaviour around the disclosure of corporate insider transactions after the introduction of the Market Abuse Directive (MAD). Ranking according to our Insider Trading Enforcement (ITE) index highlights significant differences in the MAD enforcement between French and...

We show that aggregate insider trading (AIT) in the S&P 500 is a reliable predictor of the U.S. equity premium, while AIT outside the S&P 500 seems to be uninformative. Aggregate trading of S&P 500 insiders outperforms a broad set of well-established predictors considering in- and out-of-sample...