Revealed Wisdom of the Crowd: Bids Predict Loan Quality

The authors thank Prabuddha De, Noyan Ilk, Karthik Kannan, Weifeng Li, Mohammad Rahman, and Xuan Wei for their helpful insights. The authors are grateful to conference participants at the Conference on Information Systems and Technology 2020, the INFORMS Annual Meeting 2020, the MIS Quarterly Author Development Workshop 2021, the International Conference on Smart Finance 2022, the Symposium on Statistical Challenges in Electronic Commerce Research 2023, and Workshop on Information Systems and Economics 2023 as well as seminar participants at Chinese University of Hong Kong, Emory University, Georgia Institute of Technology, Hanoi University of Science and Technology, Lehigh University, Nanyang Technological University, Purdue University, University of British Columbia, University of Connecticut, University of Delaware, University of Georgia, University of Hong Kong, University of Illinois Urbana-Champaign, University of New Hampshire, University of Notre Dame, University of Texas at Austin, and University of Texas at San Antonio for their comments and suggestions. All authors contributed equally to this research.