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Finance and Financial Management Commons™
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Full-Text Articles in Finance and Financial Management
Relationship Banking And Loan Syndicate Structure: The Role Of Private Equity Sponsors, Rongbing Huang, Donghang Zhang, Yija (Eddie) Zhao
Relationship Banking And Loan Syndicate Structure: The Role Of Private Equity Sponsors, Rongbing Huang, Donghang Zhang, Yija (Eddie) Zhao
Faculty and Research Publications
Using a sample of syndicated loans to private equity (PE)-backed IPO companies, we examine how a third-party bank relationship influences the syndicate structure of a loan. We find that a stronger relationship between the lead bank and the borrower’s PE firm enables the lead bank to retain a smaller share of the loan and form a larger and less concentrated syndicate, especially when the borrower is less transparent. A stronger PE-bank relationship also attracts greater foreign bank participation. Our findings suggest that the lead bank’s relationship with a large equity holder of the borrower facilitates information production in lending.
A Comparison Of Machine Learning Algorithms For Prediction Of Past Due Service In Commercial Credit, Liyuan Liu M.A, M.S., Jennifer Lewis Priestley Ph.D.
A Comparison Of Machine Learning Algorithms For Prediction Of Past Due Service In Commercial Credit, Liyuan Liu M.A, M.S., Jennifer Lewis Priestley Ph.D.
Published and Grey Literature from PhD Candidates
Credit risk modeling has carried a variety of research interest in previous literature, and recent studies have shown that machine learning methods achieved better performance than conventional statistical ones. This study applies decision tree which is a robust advanced credit risk model to predict the commercial non-financial past-due problem with better critical power and accuracy. In addition, we examine the performance with logistic regression analysis, decision trees, and neural networks. The experimenting results confirm that decision trees improve upon other methods. Also, we find some interesting factors that impact the commercials’ non-financial past-due payment.