This study explores whether financial literacy can enhance the ability to predict credit default by farmers using machine-learning models. It introduces a hybrid model combining k-means clustering and Adaboost to predict loan default using data on 10,396 farmers who obtained credit from Chinese...

Purpose: This study attempts to identify the cause of the failure of a platform operator in a P2P lending market, from the perspective of the internal credit rating system. Design/methodology/approach: Data from Moneyauction, the first P2P lending platform in Korea, which led the market for a...

This paper aims to study the usefulness of applying tax arrears in failure prediction, when annual reports to calculate financial ratios are outdated. Three known classification methods from the failure prediction literature are applied to the whole population dataset from Estonia, incorporating...