We use intraday data to estimate the daily foreign exchange exposure of U.S. multinationals and show that macroeconomic news affects these firms’ foreign exchange exposure. News creates a substantial shift in the joint distribution of stock and exchange rate returns that has both a...

We study the dynamics of liquidity around jumps by identifying their exact intraday timing and retrieve all macroeconomic and firm-specific news for the 30 constituents of the Dow Jones Industrial Average index. We match around a third of the jumps with macroeconomic news announcements, while...

We propose a tone-based event study to reveal the aggregate abnormal tone dynamics in media articles around earnings announcements. We test whether they convey incremental information that is useful for price discovery for non financial S&P 500 firms. The positive relationship found between the...

The highfrequency package for the R programming language provides functionality for pre-processing financial high-frequency data, analyzing intraday stock returns, and forecasting stock market volatility. For academics and practitioners alike, it provides a tool chain required to work with such...