Overview
Frank Ecker is an Assistant Professor of Accounting at the Fuqua School of Business, Duke University. His research focuses on the role of accounting information for capital market participants and has been published in top accounting journals.
Frank teaches an elective course in Valuation and Fundamental Analysis to Daytime and Executive M.B.A. students.
He earned a Bachelor’s degree in Finance at Berufsakademie Mannheim, and has an M.B.A and Ph.D. from University of Trier. Prior to his graduate studies, he worked for Deutsche Bank AG and DGZ Dekabank Luxembourg S.A.
Frank teaches an elective course in Valuation and Fundamental Analysis to Daytime and Executive M.B.A. students.
He earned a Bachelor’s degree in Finance at Berufsakademie Mannheim, and has an M.B.A and Ph.D. from University of Trier. Prior to his graduate studies, he worked for Deutsche Bank AG and DGZ Dekabank Luxembourg S.A.
Current Duke Appointments & Affiliations
Adjunct Professor of Fuqua School of Business
·
2017 - Present
Fuqua School of Business
Recent Scholarly Works
How Stock Market Participants Use Generative Artificial Intelligence: Evidence from User-Platform Interaction Data
Journal article Journal of Accounting Research · June 1, 2026 This paper provides descriptive evidence on how stock market participants use Generative Artificial Intelligence (GenAI) to process investment-related information. Using a data set of 1.7 million stock-related queries from one of China's largest GenAI plat ... Full text CitePayoffs to Aggressiveness
Conference Accounting Review · November 1, 2023 For a broad sample of firms, we use structural equations modeling to construct latent variables for real-action aggressiveness and reporting policy aggressiveness. We estimate the association between the latent variables and the associations of each latent ... Full text CiteNon-random sampling and association tests on realized returns and risk proxies
Journal article Review of Accounting Studies · June 1, 2021 This paper investigates how data requirements often encountered in archival accounting research can produce a data-restricted sample that is a non-random selection of observations from the reference sample to which the researcher wishes to generalize resul ... Full text CiteEducation
Universitat Trier (Germany) ·
2005
Ph.D.