Center for Data Science Talk

Optimizing Bank Overdraft Fees with Big Data
Date & Time: 
Wednesday, May 25, 2016 - 16:30 to 17:30
Xiao Liu
Room 1505

Owing to consumer attrition caused by high overdraft fees and potential government regulations to reform these fees, financial institutions have become motivated to investigate their overdraft fee structures. Banks need to balance the revenue generated from overdraft fees with consumer dissatisfaction and potential churn caused by overdraft fees. However, no empirical research has been conducted to explain consumer responses to overdraft fees and evaluate alternative pricing and product strategies associated with these fees. Professor Xiao Liu proposes a dynamic structural model with consumer monitoring costs and dissatisfaction associated with overdraft fees.

Xiao Liu joined New York University Stern School of Business as an Assistant Professor of Marketing in July 2015. Professor Liu’s research focuses on quantitative marketing and empirical industrial organization, with a particular interest in consumer financial service innovations and high-tech marketing. She received her B.S. in Finance from Tsinghua University and her Ph.D. in Marketing from Carnegie Mellon University Tepper School of Business.

Professor Yuxin Chen will introduce Professor Xiao Liu.

This event is co-sponsored by Center for Data Science and Analytics & Center for Business Education and Research.


Location & Details: 

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Metro:  Century Avenue Station, Metro Lines 2/4/6/9 Exit 6 in location B

Bus: Century Avenue at Pudian Road, Bus Lines 169/987