Much of the research in law and finance reduces long, complex texts down to a small number of variables. Examples include the coding of corporate charters as an entrenchment index or characterizing dense securities complaints by using variables that capture the amount at issue, the statutes...

Prior research examining the impact of corporate social responsibility (CSR) on stakeholders has largely focused on studying the insurance like effect of CSR outlays and the resulting effect on stock returns, thereby emphasizing the implications for shareholders. Our study examines the following...

The description and visualization of processes and underlying requirements are a core task in IT projects today. The translation of information between different forms of representation is used to include these efficiently in the different steps of a project, e.g., to describe the as-is and...

Das Coronavirus hat viele alte Gesetzmäßigkeiten in Frage gestellt. Das gilt auch für die Vermessung ökonomischer Aktivitäten. Verfahren aus der Hochzeit der Industrialisierung werden dem strukturellen Wandel zunächst zu einer Dienstleistungsgesellschaft, später zu einer Digitalwirtschaft...

In this paper, we introduce a framework that simplifies the process of finding information about a city. This is helpful when people are looking for information on various cities before planning a trip. As visiting various online portals and collecting information is a time consuming and tedious...

We construct a new numerical measure of earnings announcement surprises, standardized unexpected earnings call text (SUE.txt), that does not explicitly incorporate the reported earnings value. SUE.txt generates a text-based post-earnings-announcement drift (PEAD.txt) larger than the classic PEAD...

Investors read news from social and news media to make financial decisions. I used a mixture of distributions model on Thomson Reuters textual indices for these sources to build a monthly ambiguity proxy. This ambiguity proxy reflects disagreement and the monthly information uncertainty of the...

Authored by Katharine M. Donato, Lisa Singh, Ali Arab, Elizabeth Jacobs and Douglas Post, this Migration Research Series paper builds on prior studies of migration misinformation by analysing Twitter conversations in Spanish, the fourth most widespread language in the world. The paper assesses...

Using the dictionary-based approach to measure the sentiment of finance-related texts is primarily focused on English-speaking content. This is due to the need for domain-specific dictionaries and the primary availability of those in English. Through the contribution of Bannier et al. (2019b),...