Rise of the Machines: The Impact of Automated Underwriting

Using a randomized experiment in auto lending, we show that algorithmic underwriting outperforms the human underwriting process, resulting in 10.2% higher loan profits and 6.8% lower default rates. The machine performance is more stable across various risk dimensions and loan characteristics, whereas the performance of human underwritten loans largely declines for riskier and more complex loans. Moreover, the performance difference is more pronounced at underwriting thresholds with a high potential for agency conflict. These results are consistent with algorithmic underwriting mitigating agency conflicts and humans' limited capacity for analyzing complex problems.

Keywords: Lending, Underwriting, FinTech, Automation, Household Finance, Agency Conflicts

JEL Classification: O33, G21, D14

Suggested Citation: Suggested Citation

Jansen, Mark and Nguyen, Hieu and Shams, Amin, Rise of the Machines: The Impact of Automated Underwriting (October 29, 2021). Fisher College of Business Working Paper No. 2020-03-019, Charles A. Dice Center Working Paper No. 2020-19, Available at SSRN: https://ssrn.com/abstract=3664708 or http://dx.doi.org/10.2139/ssrn.3664708