Showing 1 - 10 of 361
We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital...
Persistent link: https://www.econbiz.de/10012920370
interest. FinTech algorithms also discriminate, but 40% less than face-to-face lenders. These results are consistent with both … FinTech and non-FinTech lenders extracting monopoly rents in weaker competitive environments or profiling borrowers on low … silver linings emerge in the FinTech era: (1) Discrimination is declining; algorithmic lending may have increased competition …
Persistent link: https://www.econbiz.de/10012858947
In this paper, we review the growing literature on FinTech lending – the provision of credit facilitated by technology … that improves the customer-lender interaction or lenders’ screening and monitoring of borrowers. FinTech lending has grown … convenience and speed appears to have been more central to FinTech lending’s growth than improved screening or monitoring, though …
Persistent link: https://www.econbiz.de/10013322221
competitive interactions between banks and non-bank lenders (fintech firms). Trust enables lenders to have assured access to … the erosion of trust when fintech lenders do not. Trust is also asymmetric in nature—it is more difficult to gain it than …
Persistent link: https://www.econbiz.de/10012915235
We develop a model to predict consumer default based on deep learning. We show that the model consistently outperforms standard credit scoring models, even though it uses the same data. Our model is interpretable and is able to provide a score to a larger class of borrowers relative to standard...
Persistent link: https://www.econbiz.de/10012864475
This paper tests for bias in consumer lending decisions using administrative data from a high-cost lender in the United … Kingdom. We motivate our analysis using a simple model of bias in lending, which predicts that profits should be identical for … marginal loan applicants by exploiting variation from the quasi-random assignment of loan examiners. We find significant bias …
Persistent link: https://www.econbiz.de/10012911705
Poor loan quality is often attributed to loan officers exercising poor judgment. A potential solution is to base loans on hard information alone. However, we find other consequences of bypassing discretion stemming from loan officer incentives and limits of hard information verifiability. Using...
Persistent link: https://www.econbiz.de/10013081841
We report the results of a randomized field experiment that examines the credit market impacts of improvements in a lender's ability to determine borrowers' identities. Improved personal identification enhances the credibility of a lender's dynamic repayment incentives by allowing it to withhold...
Persistent link: https://www.econbiz.de/10013067377
We use an experiment with commercial bank loan officers to test how performance based compensation affects risk-assessment and lending. High-powered incentives lead to greater screening effort and more profitable lending decisions. This effect, however, is muted by deferred compensation and...
Persistent link: https://www.econbiz.de/10013075422
We propose a new approach to studying the pass-through of credit expansion policies that focuses on frictions, such as asymmetric information, that arise in the interaction between banks and borrowers. We decompose the effect of changes in banks' cost of funds on aggregate borrowing into the...
Persistent link: https://www.econbiz.de/10013015102