Novel Financial Data for Research: Access and Applications

Munich, November 6th 2025

Description

The increasing availability of real-time, high-frequency financial data—ranging from credit card transactions to bank records and digital payment platforms—has opened new frontiers in economic research. For instance, such data enables a deeper understanding of spending and saving behavior, urban and regional spending patterns, and macroeconomic trends. Moreover, it facilitates the development of real-time economic indicators relevant for policymakers. 

Under the umbrella of the BERD Academy, this full-day workshop seeks to highlight research that leverages novel financial data to answer questions that were previously unaddressable, offering new perspectives on economic activity, financial decision-making, and policy impact. In addition, the workshop aims to increase awareness of the availability, scope, and potential of transaction and other financial data by fostering an exchange between researchers and data owners. We welcome empirical studies, methodological advancements, and applications that showcase the unique value of transaction data in driving new insights across economics and related fields.

Keynote Speaker: Steffen Meyer (Aarhus University)

Submission/Application

Application Deadline: Friday August 15th, 2025

To submit a presentation proposal for this workshop, please use the button below and follow the instructions. In the form, we will ask for an abstract of the work that you want to present. While extended abstracts or early-stage drafts will be taken into consideration, complete papers will be given preference. We strongly encourage submissions from early-career researchers, including PhD students and practitioners.

Acceptance notifications will be sent out by Monday, September 15th, 2025. A preliminary program will be made available by the end of September 2025. 

Costs 

There is no workshop participation fee.

A limited amount of grants for travel and accommodation for early-career researchers are available on request. 

Scientific Committee

  • Markus Herklotz (LMU Munich, BERD@NFDI & BERD Academy)
  • Cristina Rujan (ifo Institute, KonsortSWD) 
  • Sebastian Wichert  (ifo Institute, LMU Munich, CESifo, KonsortSWD) 

This workshop is a cooperation between BERD@NFDI and the ifo Institute.

Any questions? Please write us at berd-academy@stat.uni-muenchen.de