Good news, bad news and rating announcements: An empirical investigation

In this paper we employ a new approach to test the contribution of information in rating announcements. This is the first study to test and corroborate how the CDS market responds to rating actions after controlling for the presence of concurrent public and private information. We show that since the clustering of rating announcements characterizes economically significant developments, the common practice of using “uncontaminated” samples underestimates market response. As in previous studies, we find that the market response to bad news is stronger than to good news. Nevertheless, bad news and negative rating announcements tend to cluster. Therefore, the residual contribution of negative rating announcements is small and in some cases insignificant. Positive rating announcements are less frequent and less clustered, though their residual contribution is still significant.     

Earnings Preannouncement Strategies

We examine the disclosure strategies managers follow when theyd preannounce quarterly earnings shortly before formal earnings announcements. We document that managers with bad news release essentially all of their news at the preannouncement date, while managers with good news only release about half of their news. Controlling for the combined news released at the preannouncement and earnings announcement dates, firms with negative earnings announcement surprises have significantly lower excess returns for the period from just before the preannouncement to just after the earnings announcement. This finding is consistent with the observed disclosure strategies whereby managers attempt to avoid negative earnings announcement surprises, and suggests that how information is presented can affect the market's reaction to that information.     

Building a valuable event log for process mining: an experimental exploration of a guided process

The digitalisation of business processes has led to the new opportunity of investigating process executions by using process mining. The complex preparation step of building an event log is often perceived as a technical task, although business considerations should be involved. In this paper, we examine via an experimental study whether and how a guiding procedure supports the performance of this task. Our findings provide insights into the parts played by business and technical considerations in this task and suggest that procedural guidance positively impacts the process of building an event log and its outcome.