In today’s interrelated economies, financial information travel at speed of light to reach investors around the globe. Global financial markets experience regular shocks that transmit negative waves to other equity markets and different asset classes. Given the unique characteristics of...

This paper introduces new econometric tests to identify stochastic intensity jumps in high-frequency data. Our approach exploits the behavior of a time-varying stochastic intensity and allows us to assess how intensely stock market reacts to news. We describe the asymptotic properties of our...

Originally developed as a statistical tool for empirical research in accounting and finance, event studies have since migrated to other disciplines as well, including economics, history, law, management, marketing, and political science. Despite the elegant simplicity of a standard event study,...

The last 60 years of research striving to explain the post-earnings announcement drift (PEAD) have resulted in numerous potential explanations. This ”zoo” of explanations, limited academic consensus, and a literature relying on thousands of earnings announcement make researchers able to...

We examine the impact of international monetary policy and professionals' announcements on WTI crude oil futures. The methodology is an event and case study. The event study refers to an analysis of each category of events, while the case study refers to the selection of a particular time...

In this study, we test a set of country macro sentiment indexes that measure the trailing sentiment on both scheduled and unscheduled economic and geopolitical news events. We develop a cross-over strategy in the FX market based on short to long-term news sentiment inflection points covering the...

This paper investigates the behavior of Australian interest rate futures around the release of major scheduled macroeconomic announcements. The analysis of price volatility, returns, trading activity and bid-ask spreads finds that the adjustment to new information occurs quickly with the...

The high-frequency market reaction to intraday stock-specific news flow is examined over the period January 2000 to November 2011. Data on novelty, relevance, and direction of company-specific news for the ASX50 leading Australian stocks is garnered from the Ravenpack news analytics tool....

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the ”Natural Language Toolkit” that uses...

This paper examines the pattern of order aggressiveness, and the determinants of this pattern for institutional and retail brokers in the interval around monetary policy announcements. Utilizing a high-frequency dataset, with broker identifiers for each order submitted on the ASX over the period...