Search Results

SORT BY: PREVIOUS / NEXT
Keywords:FinTech/marketplace lending 

Working Paper
How Magic a Bullet Is Machine Learning for Credit Analysis? An Exploration with FinTech Lending Data

FinTech online lending to consumers has grown rapidly in the post-crisis era. As argued by its advocates, one key advantage of FinTech lending is that lenders can predict loan outcomes more accurately by employing complex analytical tools, such as machine learning (ML) methods. This study applies ML methods, in particular random forests and stochastic gradient boosting, to loan-level data from the largest FinTech lender of personal loans to assess the extent to which those methods can produce more accurate out-of-sample predictions of default on future loans relative to standard regression ...
Working Papers , Paper 19-16

FILTER BY Bank

FILTER BY Series

FILTER BY Content Type

FILTER BY Author

FILTER BY Jel Classification

C52 1 items

C53 1 items

C55 1 items

G23 1 items

PREVIOUS / NEXT