Corpus ID: 43996674

Optimizing Bank Overdraft Fees with Big Data

@inproceedings{Liu2016OptimizingBO,
  title={Optimizing Bank Overdraft Fees with Big Data},
  author={X. Liu and A. Montgomery and Kannan Srinivasan},
  year={2016}
}

• X. Liu, A. Montgomery, Kannan Srinivasan
• Published 2016

In 2012, consumers paid $32 billion in overdraft fees, representing the single largest source of revenue for banks from demand deposit accounts during this period. Owing to consumer attrition caused by 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 these… Expand

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