This paper applies a nonparametric method based on realized and bipower variations calculated from intraday data to identify jumps in daily futures prices of crude oil, heating oil and natural gas contracts traded on the New York Mercantile Exchange. The sample period of our intraday data covers...

We apply nonparametric statistical procedures to extract jumps around scheduled macroeconomic news in U.S. Treasury bond, U.S. Treasury note and Eurodollar futures prices from 2001 to 2004. Volatility and trading activity during announcement days with jumps versus no jumps are also analyzed with...

The Volume-Synchronized Probability of Informed Trading (VPIN) metric is proposed by Easley et al. (2011, 2012) as a real-time measure of order flow toxicity in an electronic trading market. This paper examines the performance of VPIN around inventory announcements and price jumps in crude oil...

This study examines the impact of corporate earnings announcements on trading activity and speed of price adjustment, analyzing algorithmic and non–algorithmic trades during the immediate period pre– and post– corporate earnings announcements. We confirm that algorithms react faster and...