This study investigates how prices respond to unanticipated crude oil inventory shocks and how quickly the markets incorporate news in crude oil, gasoline, and heating oil futures markets by using structured vector autoregression (SVAR) models based on EIA inventory report announcement and news...

This study investigates how prices respond to unanticipated crude oil inventory shocks and how quickly the markets incorporate news in crude oil, gasoline, and heating oil futures markets by using structured vector autoregression (SVAR) models based on EIA inventory report announcement and news...

The relative importance of country- and industry-specified factors vis-à-vis company-specific financial-statement-based information in explaining equity valuation multiples in an international setting is examined. Both country-specific effects via previously identified variables and an...

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...

We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and market reaction is moderated...

Using high-frequency price and volume data from several large exchanges, we show that FOMC and CPI announcements have a massive impact on Bitcoin's realized volatility and volume. However, this effect is a recent phenomenon, which started as inflation rose at the beginning of 2021. We also...

Using a news-based gauge of geopolitical risk, we study its role for asset pricing in global emerging markets. We find that changes in risk positively predict future stock returns. The countries with the highest increase in geopolitical uncertainty outperform their counterparts with the lowest...