UROP Project

Textual Analysis in Financial Research

Contact

Name

Daniel Holder

Program Director UROP

Telephone

workPhone
+49 241 80-90695

E-Mail

Key Info

Basic Information

Project Offer-Number:
1079
Category:
Keine eindeutige Zuordnung
Field:
Business Administration
Faculty:
8
Organisation unit:
Department of Finance
Language Skills:
English or German
Computer Skills:
see Requirements

Textual analysis has become an established method for predicting stock returns and firm behavior in the finance and accounting literature. Our department works on several projects that analyze public disclosure documents of firms or social media content. We invite anyone to support our research efforts in this field or has the aim of following his own research agenda to contact us about potential ideas.

Task

Depending on your goals, you can either engage in statistical analyses of existing data on textual documents or help with preparing a new dataset of textual documents, for example by means of webcrawling.

Requirements

If you want to follow your own research agenda, you need to have some knowledge of statistical analyses. If you want to help us with creating a new database, you need to have some knowledge in Python or other programming skills.